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As a Machine Operator at Avery Dennison, you will play a vital role in our production process by adhering to established specifications and guidelines. Your responsibilities will include monitoring various machinery and control systems to ensure optimal processing efficiency. You will be required to operate manual, automatic, or semiautomatic machines within a continuous production environment while upholding safety standards and protocols.
Key Responsibilities:
Adhere to production and process instructions to meet product specifications.
Continuously monitor meters, gauges, valves, flow ratios, and computer systems for effective process management.
Operate manual, automatic, or semiautomatic machinery in a seamless production flow.
Follow safety procedures and 5S standards in all work activities.
Engage in ongoing training and development sessions such as EHS, SOP, and Magma training.
As a Machine Operator at Avery Dennison, you will play a vital role in our production process by adhering to established specifications and guidelines. Your responsibilities will include monitoring various machinery and control systems to ensure optimal processing efficiency. You will be required to operate manual, automatic, or semiautomatic machines within…
Join our dynamic stevedoring team at Dublin Port and help us deliver exceptional service to our customers, reinforcing our status as a leading player in the shipping industry.About UsDoyle Shipping Group is the largest independent shipping company in Ireland, providing comprehensive shipping, logistics, and maritime services across all major Irish ports. With over 130 years of experience, we pride ourselves on our unmatched expertise and service quality.Position OverviewAs a Machine Operative, you will be an integral part of our stevedoring team, facilitating the movement of cargo to and from vessels at Dublin Port. Your daily activities will include mooring and unmooring vessels, operating equipment such as cranes, tugs, reachstackers, forklifts, and bobcats, and ensuring that our operational areas and machinery are maintained in a clean and orderly state.QualificationsThis role requires successful completion of training as a Crane Driver; no prior experience is necessary as comprehensive training will be provided.This position operates on a night shift from 19:00 to 07:00 over a seven-day rotation, dependent on customer needs, vessel schedules, and maintenance requirements.Ideal Candidate ProfileThe successful applicant will possess the following attributes:• A valid, clean Category B driving license or an equivalent valid license from another country.• Proficiency in spoken and written English.• Strong literacy and numerical skills.• Ability to thrive under pressure and meet deadlines.• Proven teamwork capabilities.While previous experience in warehousing or cargo handling is advantageous, it is not a strict requirement. Familiarity with HGV operations or large machinery, along with relevant licenses, is a plus.Compensation and BenefitsCompetitive pay up to €18.00, plus a shift allowance.21 days of annual leave.Premium pay for public holidays.Regular overtime at time-and-a-half.Additional benefits include:• Company pension scheme with employer contributions.• Death in service benefit.• Dental care scheme.• Vision/eye care benefits.
Role Overview:As the Head of Machine Learning Operations, you will spearhead the MLOps strategy in collaboration with the Data Science & Insights (DS&I) team and senior leadership, ensuring alignment with the organization's broader goals.Your role will involve leading the creation of state-of-the-art software tools to enhance our Data Science solutions and optimize business operations, utilizing cutting-edge technologies such as AWS, Git, Docker, Kubernetes, and Jenkins.You will continuously refine the architecture and assess emerging technologies to maintain a competitive advantage in the market.As a leader, you will be responsible for developing tools and services that support critical operations, including release management, source code management, CI/CD pipelines, automation, and deploying ML models into production environments.Championing ML model governance will be crucial, as you will establish an end-to-end lifecycle governance framework to monitor and optimize model performance over time.You will work closely with key stakeholders across various business functions, including Product & Technology (P&T), IT, and Developer Experience (DX) teams, to create and prioritize a strategic Data Science DevOps roadmap that fosters innovation.In addition, you will mentor team members, providing guidance on advanced MLOps practices and acting as a point of escalation for complex technical challenges.As a strategic advisor, you will offer insights and recommendations to senior leadership on Data Science MLOps initiatives, promoting a culture of continuous learning and innovation within the organization.Reports To: Director of Data Science & Insights
Intercom is a pioneering AI Customer Service platform dedicated to enhancing customer experiences for businesses worldwide.Our advanced AI agent, Fin, is the leading customer service AI on the market, enabling businesses to provide uninterrupted, exceptional customer service, which fundamentally transforms customer interactions. Fin seamlessly integrates with our Helpdesk to form the comprehensive Intercom Customer Service Suite, designed to offer AI-supported assistance for complex queries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 global businesses, Intercom is redefining the standard in customer service. Guided by our core values, we challenge norms, innovate with urgency, and consistently provide outstanding value to our clients.What’s the opportunity?The Machine Learning team at Intercom is at the forefront of developing new ML features, exploring suitable algorithms and technologies, and swiftly delivering the first prototypes to our customers.We pride ourselves on being a highly product-focused team. Collaborating closely with Product and Design teams, our dedicated ML product engineers enable rapid production deployment, often launching beta versions within weeks following successful offline testing.We are deeply passionate about leveraging machine learning technology, with applications ranging from traditional supervised models to innovative unsupervised clustering algorithms, and exploring novel transformer neural network applications. We rigorously evaluate the real-world impact of each model we implement.What will I be doing?Identifying opportunities where machine learning can add significant value for our clients.Determining the appropriate ML framing for product challenges.Collaborating with team members and stakeholders in Product and Design.Conducting exploratory data analysis and research.Gaining an in-depth understanding of the problem domain.Researching and selecting the most suitable algorithms and tools.Balancing pragmatism with a commitment to innovation, pushing boundaries when necessary.Conducting offline evaluations to validate algorithm effectiveness.Collaborating with engineers to transition prototypes into production.Planning, measuring, and disseminating findings to guide iterative improvements.Working closely with the entire team and external partners to create exceptional ML products.
Join Pinterest as a Machine Learning Engineer II, where you'll work on cutting-edge AI technologies to enhance user experiences. Collaborate with a dynamic team to design, implement, and optimize machine learning algorithms that drive innovation.
At Intercom, we are revolutionizing AI Customer Service with the mission to empower businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands at the forefront of customer service technology, enabling organizations to provide consistent and outstanding support. Fin seamlessly integrates with our Helpdesk, forming the Intercom Customer Service Suite, a comprehensive solution designed to tackle complex inquiries that require a human touch.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses worldwide, setting new benchmarks for customer service. Our commitment to our core values drives us to innovate rapidly and deliver remarkable value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is pivotal in defining innovative ML features, exploring optimal algorithms, and swiftly deploying prototypes to enhance customer interactions.We prioritize product focus and collaborate closely with Product and Design teams. Our specialized ML product engineers facilitate rapid production deployment, often launching beta versions just weeks after successful offline testing.Our enthusiasm for machine learning is evident in our diverse applications—from traditional supervised models to cutting-edge unsupervised clustering techniques and novel transformer neural networks. We rigorously assess the customer impact of every model we implement.What Will I Be Doing?Actively participate in the recruitment, mentorship, and career development of fellow engineers.Elevate technical standards, performance, reliability, and operational excellence.Identify opportunities where machine learning can add value for our customers.Collaborate with teammates and stakeholders in Product and Design to frame product challenges appropriately.Conduct thorough exploratory data analysis to gain insights into problem areas.Research and select the most effective algorithms and tools while balancing pragmatism and innovation.Perform offline evaluations to validate algorithm effectiveness.Collaborate with engineers to transition prototypes into production.Plan, measure, and communicate findings to inform iterative improvements.
Join Sony Interactive Entertainment Global as an Engineering Manager specializing in Machine Learning. In this pivotal role, you will lead a talented team of engineers in the development and implementation of advanced machine learning algorithms that enhance our gaming experiences. You will collaborate with cross-functional teams to drive innovation and ensure the highest quality in our products.
At Intercom, we are revolutionizing AI-driven customer service with a commitment to delivering exceptional customer experiences. Our flagship AI agent, Fin, is the leading customer service AI solution available, enabling businesses to offer seamless, always-on support that enhances customer satisfaction. When paired with our Helpdesk, Fin evolves into the comprehensive Intercom Customer Service Suite, designed to tackle complex inquiries that necessitate human intervention.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide, setting the benchmark for excellence in customer service. Our core values drive us to innovate relentlessly, act swiftly, and consistently provide remarkable value to our customers.What’s the Opportunity?The AI Group at Intercom is at the forefront of creating new machine learning products, exploring innovative algorithms and technologies, and swiftly transitioning prototypes into the hands of our customers. With a strong focus on product development, our talented team of over 50 ML scientists, engineers, designers, and researchers collaborates across departments to deliver impactful solutions. We pride ourselves on rapid deployment, often moving to beta within weeks of successful offline tests.We are passionate about harnessing machine learning technologies, having successfully implemented a range of solutions from traditional supervised models to cutting-edge unsupervised clustering algorithms, novel transformer neural network applications, and finely-tuned LLMs. We diligently measure the real-world customer impact of our deployments.As we plan to double our team size, we are seeking an experienced manager to lead a high-performing group of ML scientists. Unlike conventional people managers, our engineering managers possess a solid track record of individual contributions, allowing them to remain engaged with their team’s work. While coding daily isn't a requirement, you should feel adept at offering technical guidance and possess a comprehensive understanding of your team's projects, including the potential for occasional code reviews or pull requests.What Will You Be Doing?Leading, mentoring, and coaching a team of 10+ ML scientists located in our offices in Dublin, London, and Berlin.Collaborating with leaders in ML, engineering, product, and design to influence the direction and impact of the team's work.Facilitating high levels of productivity, performance, and reliability within your team.Expanding the team's capabilities and enhancing its reputation internally and externally.
About TelnyxTelnyx is at the forefront of revolutionizing global connectivity. We are not only envisioning the future; we are actively constructing it. Our private, global, multi-cloud IP network is designed to enhance communication, while our intuitive APIs deliver hyperlocal edge technology directly to users.Our mission is to transform outdated systems, automate manual processes, and resolve real-world challenges through innovative connectivity solutions. Our financial stability and profitability allow us to invest in groundbreaking technologies and create a culture of continuous learning and advancement for our team.We aspire to create a world where limitless innovation is fueled by borderless connectivity. By joining Telnyx, you will play a vital role in establishing the foundation for this interconnected future. We are looking for enthusiastic individuals eager to contribute to a company that is shaping the industry while advancing their own professional journey.Your ImpactAs a Senior Machine Learning Engineer specializing in Speech Synthesis, you will be instrumental in developing Telnyx's next-generation speech synthesis systems. This is a unique opportunity to lead in a greenfield project where you will define the technology stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents. You will develop everything from distributed training pipelines to inference services that provide ultra-low-latency, lifelike voices in various languages. Your contributions will bridge the gap between research and production, shaping how millions interact with real-time conversational AI. Key ResponsibilitiesLead the design and development of innovative speech synthesis technologies.Collaborate with cross-functional teams to integrate speech capabilities into existing products.Optimize models for performance and scalability.Conduct research to enhance TTS models and methodologies.
Join the AI Revolution at Contentful!At Contentful, we are at the forefront of developing real-world AI solutions that empower thousands of active customers. We’re seeking a talented Senior Machine Learning Engineer who is eager to innovate, drive, and build machine learning solutions that create significant customer impact. If you're passionate about leveraging machine learning within a robust content management system and are familiar with current Generative AI trends, we invite you to join our dynamic team.Your Role:Ensure high-quality ML workloads for enterprise clients.Design, develop, and evaluate production software within the Contentful Platform.Conduct targeted research and testing utilizing tools like Jupyter Notebook.Enhance generative AI products for improved accuracy, speed, and scalability.Integrate ML cloud solutions tailored to extensive use cases.Implement prompt engineering and fine-tuning for diverse customer applications.Create software that scales efficiently to handle high-demand workloads.Lead design reviews with peers and stakeholders to select optimal technologies.Foster a culture of machine learning education within the team to uphold high standards of quality and ownership.
Join Abi, a pioneering global virtual care platform dedicated to reshaping access to healthcare. We empower patients in 40 countries to connect effortlessly with healthcare professionals, making healthcare as accessible as conversation with a friend.Our commitment to reducing barriers to healthcare aligns with the United Nations Sustainable Development Goal 3, aimed at ensuring healthy lives and promoting well-being for all.As part of our dynamic AI Lab, we are on the lookout for talented Data Science and Machine Learning professionals to join our mission. In this role, you will play an essential part in enhancing our AI/ML solutions and infrastructure, driving continuous innovation across our products and services.Key ResponsibilitiesContribute to the development of AI-driven features for our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Utilize your expertise to mentor and support junior colleagues within the AI Lab, fostering a collaborative and effective team environment.Depending on project needs, you may:Transform data science prototypes into functional modelsDesign, train, and retrain ML systemsResearch and apply suitable ML algorithms and toolsExtend existing ML libraries and frameworksSelect relevant datasets and data representation techniquesConduct machine learning tests and experiments
Why Join PlayStation?At PlayStation, we pride ourselves on being not just the best place to play, but also the best place to work. We are a globally recognized leader in entertainment, producing an array of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and critically acclaimed software titles from PlayStation Studios.We actively foster an inclusive environment that empowers our employees and values diverse perspectives. If you have a passion for innovation, technology, and gaming, we invite you to explore our open positions and become a part of our expanding global team.PlayStation is a brand under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.About the RoleAre you eager to be part of a Machine Learning team dedicated to enhancing the PlayStation experience for millions of users and game studios alike? Do you thrive on solving intricate constrained optimization challenges at scale? We are developing advanced decision systems that influence pricing, promotion planning, and large-scale commercial strategies throughout the PlayStation ecosystem. These systems provide significant recommendations directly to our studios and are backed by strong leadership support.We are seeking a skilled engineer with extensive knowledge in mathematical optimization and operational research, particularly proficient in tools such as Gurobi or OR-Tools, to design and implement production-ready optimization systems. You will collaborate within the ML teams in the DTIS organization on impactful, executive-sponsored projects, working closely with Product, Business, and Engineering teams to convert complex business constraints into scalable solutions.Your ResponsibilitiesCreate and implement large-scale optimization models utilizing industry-standard solvers, including Gurobi.Develop decision systems that:Integrate predictive signals from machine learning models (e.g., forecasts and scoring models).Function under various operational and business constraints.Automatically balance trade-offs across competing objectives.Enhance existing workflows to optimize the core usage of the Gurobi solver and minimize job runtime.Work closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.Conduct scenario analysis and uplift forecasts.
POS-31662Role OverviewAt HubSpot, we are pioneering the next wave of AI-driven experiences within our go-to-market solutions. We are seeking a Senior Machine Learning Engineer II to become a vital member of the Flywheel Context (Contacts) team. In this role, you will develop the context platform layer that empowers our AI assistants and agents to operate with precision and excellence.This role is primarily focused on backend machine learning engineering, emphasizing the delivery of production-ready software. You will design systems that enable other engineering teams to access essential facts, manage extensive and intricate context, and assess quality at scale. If you are passionate about creating robust platforms rather than just prototypes, we want to hear from you!
Full-time|$23/hr - $34/hr|On-site|Dublin, CA; San Francisco, CA
Join DoorDash Labs, a pioneering team dedicated to revolutionizing last-mile logistics through robotics and automation. We seek an Operations Specialist to actively participate in the testing, deployment, and documentation of cutting-edge technologies. This role is essential in ensuring the seamless operation of autonomous solutions as you collaborate with various teams to enhance product capabilities. If you are passionate about robotics and eager to make a tangible impact in a service utilized by millions, we’d love to hear from you!
Join our innovative team as a Technical Operations Specialist at IBKR in Dublin. In this role, you will play a vital part in ensuring the seamless operation of our technical systems. You will collaborate with various departments to troubleshoot and resolve technical issues while optimizing operational processes. Your expertise will help us maintain our high standards of service and reliability.
Join KKR, a premier global investment firm, as an Operations Associate within our Global Investment Operations Team in Dublin. This role is designed for a Middle Office Operations professional who is eager to contribute to a dynamic team focused on excellence in operational practices. You will collaborate across various functions to enhance our operational capabilities while supporting the growth of our global investment strategies. The ideal candidate will engage in the preparation and review of NAV and regulatory reporting, supervise daily cash and position reconciliations, and manage external service providers, ensuring the highest standards of operational efficiency.
About Us Indie Campers stands as the global frontrunner in road-trip travel, boasting one of the largest campervan and RV fleets across the globe. With a rapidly expanding presence in Europe, North America, and Oceania, we are on a mission to create travel experiences that are more connected, meaningful, and accessible for everyone. The Branch Operations Supervisor plays a crucial role in localizing this mission by ensuring top-tier rental operations, smooth service coordination, and a consistently customer-focused experience. As the on-site leader, this position drives operational excellence, enhances team performance, and oversees the entire customer journey in Dublin, acting as a vital link between our global standards and local execution. The Role The Branch Operations Supervisor is fully accountable for the daily operations and performance at the Dublin depot. This role is highly hands-on (60–70% of the time) while also encompassing clear managerial and financial responsibilities. You will lead the local team, manage depot costs, ensure efficient fleet turnaround, and promote continuous operational enhancements. You will not only be responsible for execution but also for achieving results. Reporting directly to the District Manager, you will ensure a high-performing, cost-effective, and customer-centric operation on a daily basis. Key Responsibilities Oversee the comprehensive performance of the Dublin depot across Rental and Servicing; Lead, supervise, and nurture the local operational team, including shift planning and performance feedback; Serve as a culture setter and lead by example; Monitor daily KPIs and ensure adherence to standard operating procedures (SOPs); Evaluate and enhance vehicle availability, including stepping in for repairs as necessary; Manage depot cost performance, encompassing consumables and rework prevention while practicing disciplined cost controls; Supervise the preparation and presentation of RVs for sales appointments; Practical Requirements Capable of lifting or moving light-to-moderate items (10–15 kg) and able to stand, walk, and navigate the depot for extended periods; Comfortable working in both indoor and outdoor settings under varying weather conditions; Willingness to work weekends, holidays, and peak periods to support urgent operational needs; 3 - 5 years of experience in fast-paced operations, logistics, rental, hospitality, or customer-facing roles; Strong hands-on operational capabilities with the ability to engage in daily depot workflows; Additional qualifications as necessary for operational efficiency.
Role overview Egis Group is seeking a Control Room Operator based in Dublin. This position centers on monitoring facility systems and assisting with daily operational tasks. The operator plays a key part in maintaining both safety and efficiency by coordinating the response to incidents as they occur. What you will do Oversee operational systems and equipment from within the control room Coordinate actions during incidents and emergencies Contribute to the safe and efficient operation of the facilities
Role overview The GTM Strategy and Operations Associate at Datadog in Dublin plays a key part in supporting the company's go-to-market strategy. This position works closely with various teams to review current market trends and uncover opportunities for improvement. Daily tasks include analyzing business processes, identifying ways to boost efficiency, and contributing to projects that drive growth. Collaboration with stakeholders across the organization is central to refining business approaches and ensuring operational goals align with broader company objectives. What you will do Support go-to-market strategy initiatives Analyze and improve operational processes Work with cross-functional teams to review market trends Identify and recommend efficiency improvements Contribute to projects aimed at business growth Location This role is based in Dublin, Ireland.
ABOUT USIndie Campers is the premier marketplace for campervan rentals, dedicated to making road trips accessible to all. Our innovative digital platform and customer-first approach have resulted in a seamless booking experience and quality road trips at competitive rates.Having facilitated over one million nights of rentals for more than 300,000 travelers from 169 countries, we offer a diverse and growing selection of road trip options, including short-term RV rentals, long-term campervan subscriptions, and the opportunity to purchase our vehicles.With a strong emphasis on technology, we face exciting and challenging tasks that demand top-tier talent and enthusiasm. We are expanding our team and are seeking individuals eager to embark on this adventure with us. THE ROLEWe are searching for enthusiastic students or recent graduates eager to immerse themselves in the dynamic world of RV and campervan rentals while gaining practical tourism experience at our Dublin depot.As a Tourism & Operations Intern, you will embody our brand's welcoming spirit, assisting guests in preparing for unforgettable road trips and ensuring their journeys conclude as delightfully as they commenced. If you thrive on meeting new people, embrace challenges, and enjoy a fast-paced atmosphere, your next adventure begins here! WHAT YOU WILL WORK ON:Front-office activities:Customer service and sales: Manage check-ins and check-outs, register guests, process payments, explain campervan functionalities, terms and conditions, and upsell road trip extras.Back-office activities:Operations handling: Align reservations with available campervans, verify and prepare campers, and coordinate road trip extras and kits.Quality control: Maintain campervans in top condition, identifying and addressing maintenance or repair needs.
As a Machine Operator at Avery Dennison, you will play a vital role in our production process by adhering to established specifications and guidelines. Your responsibilities will include monitoring various machinery and control systems to ensure optimal processing efficiency. You will be required to operate manual, automatic, or semiautomatic machines within…
Join our dynamic stevedoring team at Dublin Port and help us deliver exceptional service to our customers, reinforcing our status as a leading player in the shipping industry.About UsDoyle Shipping Group is the largest independent shipping company in Ireland, providing comprehensive shipping, logistics, and maritime services across all major Irish ports. With over 130 years of experience, we pride ourselves on our unmatched expertise and service quality.Position OverviewAs a Machine Operative, you will be an integral part of our stevedoring team, facilitating the movement of cargo to and from vessels at Dublin Port. Your daily activities will include mooring and unmooring vessels, operating equipment such as cranes, tugs, reachstackers, forklifts, and bobcats, and ensuring that our operational areas and machinery are maintained in a clean and orderly state.QualificationsThis role requires successful completion of training as a Crane Driver; no prior experience is necessary as comprehensive training will be provided.This position operates on a night shift from 19:00 to 07:00 over a seven-day rotation, dependent on customer needs, vessel schedules, and maintenance requirements.Ideal Candidate ProfileThe successful applicant will possess the following attributes:• A valid, clean Category B driving license or an equivalent valid license from another country.• Proficiency in spoken and written English.• Strong literacy and numerical skills.• Ability to thrive under pressure and meet deadlines.• Proven teamwork capabilities.While previous experience in warehousing or cargo handling is advantageous, it is not a strict requirement. Familiarity with HGV operations or large machinery, along with relevant licenses, is a plus.Compensation and BenefitsCompetitive pay up to €18.00, plus a shift allowance.21 days of annual leave.Premium pay for public holidays.Regular overtime at time-and-a-half.Additional benefits include:• Company pension scheme with employer contributions.• Death in service benefit.• Dental care scheme.• Vision/eye care benefits.
Role Overview:As the Head of Machine Learning Operations, you will spearhead the MLOps strategy in collaboration with the Data Science & Insights (DS&I) team and senior leadership, ensuring alignment with the organization's broader goals.Your role will involve leading the creation of state-of-the-art software tools to enhance our Data Science solutions and optimize business operations, utilizing cutting-edge technologies such as AWS, Git, Docker, Kubernetes, and Jenkins.You will continuously refine the architecture and assess emerging technologies to maintain a competitive advantage in the market.As a leader, you will be responsible for developing tools and services that support critical operations, including release management, source code management, CI/CD pipelines, automation, and deploying ML models into production environments.Championing ML model governance will be crucial, as you will establish an end-to-end lifecycle governance framework to monitor and optimize model performance over time.You will work closely with key stakeholders across various business functions, including Product & Technology (P&T), IT, and Developer Experience (DX) teams, to create and prioritize a strategic Data Science DevOps roadmap that fosters innovation.In addition, you will mentor team members, providing guidance on advanced MLOps practices and acting as a point of escalation for complex technical challenges.As a strategic advisor, you will offer insights and recommendations to senior leadership on Data Science MLOps initiatives, promoting a culture of continuous learning and innovation within the organization.Reports To: Director of Data Science & Insights
Intercom is a pioneering AI Customer Service platform dedicated to enhancing customer experiences for businesses worldwide.Our advanced AI agent, Fin, is the leading customer service AI on the market, enabling businesses to provide uninterrupted, exceptional customer service, which fundamentally transforms customer interactions. Fin seamlessly integrates with our Helpdesk to form the comprehensive Intercom Customer Service Suite, designed to offer AI-supported assistance for complex queries that necessitate human intervention.Established in 2011 and trusted by nearly 30,000 global businesses, Intercom is redefining the standard in customer service. Guided by our core values, we challenge norms, innovate with urgency, and consistently provide outstanding value to our clients.What’s the opportunity?The Machine Learning team at Intercom is at the forefront of developing new ML features, exploring suitable algorithms and technologies, and swiftly delivering the first prototypes to our customers.We pride ourselves on being a highly product-focused team. Collaborating closely with Product and Design teams, our dedicated ML product engineers enable rapid production deployment, often launching beta versions within weeks following successful offline testing.We are deeply passionate about leveraging machine learning technology, with applications ranging from traditional supervised models to innovative unsupervised clustering algorithms, and exploring novel transformer neural network applications. We rigorously evaluate the real-world impact of each model we implement.What will I be doing?Identifying opportunities where machine learning can add significant value for our clients.Determining the appropriate ML framing for product challenges.Collaborating with team members and stakeholders in Product and Design.Conducting exploratory data analysis and research.Gaining an in-depth understanding of the problem domain.Researching and selecting the most suitable algorithms and tools.Balancing pragmatism with a commitment to innovation, pushing boundaries when necessary.Conducting offline evaluations to validate algorithm effectiveness.Collaborating with engineers to transition prototypes into production.Planning, measuring, and disseminating findings to guide iterative improvements.Working closely with the entire team and external partners to create exceptional ML products.
Join Pinterest as a Machine Learning Engineer II, where you'll work on cutting-edge AI technologies to enhance user experiences. Collaborate with a dynamic team to design, implement, and optimize machine learning algorithms that drive innovation.
At Intercom, we are revolutionizing AI Customer Service with the mission to empower businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands at the forefront of customer service technology, enabling organizations to provide consistent and outstanding support. Fin seamlessly integrates with our Helpdesk, forming the Intercom Customer Service Suite, a comprehensive solution designed to tackle complex inquiries that require a human touch.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses worldwide, setting new benchmarks for customer service. Our commitment to our core values drives us to innovate rapidly and deliver remarkable value to our clients.What’s the Opportunity?The Machine Learning team at Intercom is pivotal in defining innovative ML features, exploring optimal algorithms, and swiftly deploying prototypes to enhance customer interactions.We prioritize product focus and collaborate closely with Product and Design teams. Our specialized ML product engineers facilitate rapid production deployment, often launching beta versions just weeks after successful offline testing.Our enthusiasm for machine learning is evident in our diverse applications—from traditional supervised models to cutting-edge unsupervised clustering techniques and novel transformer neural networks. We rigorously assess the customer impact of every model we implement.What Will I Be Doing?Actively participate in the recruitment, mentorship, and career development of fellow engineers.Elevate technical standards, performance, reliability, and operational excellence.Identify opportunities where machine learning can add value for our customers.Collaborate with teammates and stakeholders in Product and Design to frame product challenges appropriately.Conduct thorough exploratory data analysis to gain insights into problem areas.Research and select the most effective algorithms and tools while balancing pragmatism and innovation.Perform offline evaluations to validate algorithm effectiveness.Collaborate with engineers to transition prototypes into production.Plan, measure, and communicate findings to inform iterative improvements.
Join Sony Interactive Entertainment Global as an Engineering Manager specializing in Machine Learning. In this pivotal role, you will lead a talented team of engineers in the development and implementation of advanced machine learning algorithms that enhance our gaming experiences. You will collaborate with cross-functional teams to drive innovation and ensure the highest quality in our products.
At Intercom, we are revolutionizing AI-driven customer service with a commitment to delivering exceptional customer experiences. Our flagship AI agent, Fin, is the leading customer service AI solution available, enabling businesses to offer seamless, always-on support that enhances customer satisfaction. When paired with our Helpdesk, Fin evolves into the comprehensive Intercom Customer Service Suite, designed to tackle complex inquiries that necessitate human intervention.Founded in 2011, Intercom has earned the trust of nearly 30,000 businesses worldwide, setting the benchmark for excellence in customer service. Our core values drive us to innovate relentlessly, act swiftly, and consistently provide remarkable value to our customers.What’s the Opportunity?The AI Group at Intercom is at the forefront of creating new machine learning products, exploring innovative algorithms and technologies, and swiftly transitioning prototypes into the hands of our customers. With a strong focus on product development, our talented team of over 50 ML scientists, engineers, designers, and researchers collaborates across departments to deliver impactful solutions. We pride ourselves on rapid deployment, often moving to beta within weeks of successful offline tests.We are passionate about harnessing machine learning technologies, having successfully implemented a range of solutions from traditional supervised models to cutting-edge unsupervised clustering algorithms, novel transformer neural network applications, and finely-tuned LLMs. We diligently measure the real-world customer impact of our deployments.As we plan to double our team size, we are seeking an experienced manager to lead a high-performing group of ML scientists. Unlike conventional people managers, our engineering managers possess a solid track record of individual contributions, allowing them to remain engaged with their team’s work. While coding daily isn't a requirement, you should feel adept at offering technical guidance and possess a comprehensive understanding of your team's projects, including the potential for occasional code reviews or pull requests.What Will You Be Doing?Leading, mentoring, and coaching a team of 10+ ML scientists located in our offices in Dublin, London, and Berlin.Collaborating with leaders in ML, engineering, product, and design to influence the direction and impact of the team's work.Facilitating high levels of productivity, performance, and reliability within your team.Expanding the team's capabilities and enhancing its reputation internally and externally.
About TelnyxTelnyx is at the forefront of revolutionizing global connectivity. We are not only envisioning the future; we are actively constructing it. Our private, global, multi-cloud IP network is designed to enhance communication, while our intuitive APIs deliver hyperlocal edge technology directly to users.Our mission is to transform outdated systems, automate manual processes, and resolve real-world challenges through innovative connectivity solutions. Our financial stability and profitability allow us to invest in groundbreaking technologies and create a culture of continuous learning and advancement for our team.We aspire to create a world where limitless innovation is fueled by borderless connectivity. By joining Telnyx, you will play a vital role in establishing the foundation for this interconnected future. We are looking for enthusiastic individuals eager to contribute to a company that is shaping the industry while advancing their own professional journey.Your ImpactAs a Senior Machine Learning Engineer specializing in Speech Synthesis, you will be instrumental in developing Telnyx's next-generation speech synthesis systems. This is a unique opportunity to lead in a greenfield project where you will define the technology stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents. You will develop everything from distributed training pipelines to inference services that provide ultra-low-latency, lifelike voices in various languages. Your contributions will bridge the gap between research and production, shaping how millions interact with real-time conversational AI. Key ResponsibilitiesLead the design and development of innovative speech synthesis technologies.Collaborate with cross-functional teams to integrate speech capabilities into existing products.Optimize models for performance and scalability.Conduct research to enhance TTS models and methodologies.
Join the AI Revolution at Contentful!At Contentful, we are at the forefront of developing real-world AI solutions that empower thousands of active customers. We’re seeking a talented Senior Machine Learning Engineer who is eager to innovate, drive, and build machine learning solutions that create significant customer impact. If you're passionate about leveraging machine learning within a robust content management system and are familiar with current Generative AI trends, we invite you to join our dynamic team.Your Role:Ensure high-quality ML workloads for enterprise clients.Design, develop, and evaluate production software within the Contentful Platform.Conduct targeted research and testing utilizing tools like Jupyter Notebook.Enhance generative AI products for improved accuracy, speed, and scalability.Integrate ML cloud solutions tailored to extensive use cases.Implement prompt engineering and fine-tuning for diverse customer applications.Create software that scales efficiently to handle high-demand workloads.Lead design reviews with peers and stakeholders to select optimal technologies.Foster a culture of machine learning education within the team to uphold high standards of quality and ownership.
Join Abi, a pioneering global virtual care platform dedicated to reshaping access to healthcare. We empower patients in 40 countries to connect effortlessly with healthcare professionals, making healthcare as accessible as conversation with a friend.Our commitment to reducing barriers to healthcare aligns with the United Nations Sustainable Development Goal 3, aimed at ensuring healthy lives and promoting well-being for all.As part of our dynamic AI Lab, we are on the lookout for talented Data Science and Machine Learning professionals to join our mission. In this role, you will play an essential part in enhancing our AI/ML solutions and infrastructure, driving continuous innovation across our products and services.Key ResponsibilitiesContribute to the development of AI-driven features for our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Utilize your expertise to mentor and support junior colleagues within the AI Lab, fostering a collaborative and effective team environment.Depending on project needs, you may:Transform data science prototypes into functional modelsDesign, train, and retrain ML systemsResearch and apply suitable ML algorithms and toolsExtend existing ML libraries and frameworksSelect relevant datasets and data representation techniquesConduct machine learning tests and experiments
Why Join PlayStation?At PlayStation, we pride ourselves on being not just the best place to play, but also the best place to work. We are a globally recognized leader in entertainment, producing an array of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, and critically acclaimed software titles from PlayStation Studios.We actively foster an inclusive environment that empowers our employees and values diverse perspectives. If you have a passion for innovation, technology, and gaming, we invite you to explore our open positions and become a part of our expanding global team.PlayStation is a brand under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.About the RoleAre you eager to be part of a Machine Learning team dedicated to enhancing the PlayStation experience for millions of users and game studios alike? Do you thrive on solving intricate constrained optimization challenges at scale? We are developing advanced decision systems that influence pricing, promotion planning, and large-scale commercial strategies throughout the PlayStation ecosystem. These systems provide significant recommendations directly to our studios and are backed by strong leadership support.We are seeking a skilled engineer with extensive knowledge in mathematical optimization and operational research, particularly proficient in tools such as Gurobi or OR-Tools, to design and implement production-ready optimization systems. You will collaborate within the ML teams in the DTIS organization on impactful, executive-sponsored projects, working closely with Product, Business, and Engineering teams to convert complex business constraints into scalable solutions.Your ResponsibilitiesCreate and implement large-scale optimization models utilizing industry-standard solvers, including Gurobi.Develop decision systems that:Integrate predictive signals from machine learning models (e.g., forecasts and scoring models).Function under various operational and business constraints.Automatically balance trade-offs across competing objectives.Enhance existing workflows to optimize the core usage of the Gurobi solver and minimize job runtime.Work closely with ML engineers, product teams, and business stakeholders to integrate predictive models into downstream systems.Conduct scenario analysis and uplift forecasts.
POS-31662Role OverviewAt HubSpot, we are pioneering the next wave of AI-driven experiences within our go-to-market solutions. We are seeking a Senior Machine Learning Engineer II to become a vital member of the Flywheel Context (Contacts) team. In this role, you will develop the context platform layer that empowers our AI assistants and agents to operate with precision and excellence.This role is primarily focused on backend machine learning engineering, emphasizing the delivery of production-ready software. You will design systems that enable other engineering teams to access essential facts, manage extensive and intricate context, and assess quality at scale. If you are passionate about creating robust platforms rather than just prototypes, we want to hear from you!
Full-time|$23/hr - $34/hr|On-site|Dublin, CA; San Francisco, CA
Join DoorDash Labs, a pioneering team dedicated to revolutionizing last-mile logistics through robotics and automation. We seek an Operations Specialist to actively participate in the testing, deployment, and documentation of cutting-edge technologies. This role is essential in ensuring the seamless operation of autonomous solutions as you collaborate with various teams to enhance product capabilities. If you are passionate about robotics and eager to make a tangible impact in a service utilized by millions, we’d love to hear from you!
Join our innovative team as a Technical Operations Specialist at IBKR in Dublin. In this role, you will play a vital part in ensuring the seamless operation of our technical systems. You will collaborate with various departments to troubleshoot and resolve technical issues while optimizing operational processes. Your expertise will help us maintain our high standards of service and reliability.
Join KKR, a premier global investment firm, as an Operations Associate within our Global Investment Operations Team in Dublin. This role is designed for a Middle Office Operations professional who is eager to contribute to a dynamic team focused on excellence in operational practices. You will collaborate across various functions to enhance our operational capabilities while supporting the growth of our global investment strategies. The ideal candidate will engage in the preparation and review of NAV and regulatory reporting, supervise daily cash and position reconciliations, and manage external service providers, ensuring the highest standards of operational efficiency.
About Us Indie Campers stands as the global frontrunner in road-trip travel, boasting one of the largest campervan and RV fleets across the globe. With a rapidly expanding presence in Europe, North America, and Oceania, we are on a mission to create travel experiences that are more connected, meaningful, and accessible for everyone. The Branch Operations Supervisor plays a crucial role in localizing this mission by ensuring top-tier rental operations, smooth service coordination, and a consistently customer-focused experience. As the on-site leader, this position drives operational excellence, enhances team performance, and oversees the entire customer journey in Dublin, acting as a vital link between our global standards and local execution. The Role The Branch Operations Supervisor is fully accountable for the daily operations and performance at the Dublin depot. This role is highly hands-on (60–70% of the time) while also encompassing clear managerial and financial responsibilities. You will lead the local team, manage depot costs, ensure efficient fleet turnaround, and promote continuous operational enhancements. You will not only be responsible for execution but also for achieving results. Reporting directly to the District Manager, you will ensure a high-performing, cost-effective, and customer-centric operation on a daily basis. Key Responsibilities Oversee the comprehensive performance of the Dublin depot across Rental and Servicing; Lead, supervise, and nurture the local operational team, including shift planning and performance feedback; Serve as a culture setter and lead by example; Monitor daily KPIs and ensure adherence to standard operating procedures (SOPs); Evaluate and enhance vehicle availability, including stepping in for repairs as necessary; Manage depot cost performance, encompassing consumables and rework prevention while practicing disciplined cost controls; Supervise the preparation and presentation of RVs for sales appointments; Practical Requirements Capable of lifting or moving light-to-moderate items (10–15 kg) and able to stand, walk, and navigate the depot for extended periods; Comfortable working in both indoor and outdoor settings under varying weather conditions; Willingness to work weekends, holidays, and peak periods to support urgent operational needs; 3 - 5 years of experience in fast-paced operations, logistics, rental, hospitality, or customer-facing roles; Strong hands-on operational capabilities with the ability to engage in daily depot workflows; Additional qualifications as necessary for operational efficiency.
Role overview Egis Group is seeking a Control Room Operator based in Dublin. This position centers on monitoring facility systems and assisting with daily operational tasks. The operator plays a key part in maintaining both safety and efficiency by coordinating the response to incidents as they occur. What you will do Oversee operational systems and equipment from within the control room Coordinate actions during incidents and emergencies Contribute to the safe and efficient operation of the facilities
Role overview The GTM Strategy and Operations Associate at Datadog in Dublin plays a key part in supporting the company's go-to-market strategy. This position works closely with various teams to review current market trends and uncover opportunities for improvement. Daily tasks include analyzing business processes, identifying ways to boost efficiency, and contributing to projects that drive growth. Collaboration with stakeholders across the organization is central to refining business approaches and ensuring operational goals align with broader company objectives. What you will do Support go-to-market strategy initiatives Analyze and improve operational processes Work with cross-functional teams to review market trends Identify and recommend efficiency improvements Contribute to projects aimed at business growth Location This role is based in Dublin, Ireland.
ABOUT USIndie Campers is the premier marketplace for campervan rentals, dedicated to making road trips accessible to all. Our innovative digital platform and customer-first approach have resulted in a seamless booking experience and quality road trips at competitive rates.Having facilitated over one million nights of rentals for more than 300,000 travelers from 169 countries, we offer a diverse and growing selection of road trip options, including short-term RV rentals, long-term campervan subscriptions, and the opportunity to purchase our vehicles.With a strong emphasis on technology, we face exciting and challenging tasks that demand top-tier talent and enthusiasm. We are expanding our team and are seeking individuals eager to embark on this adventure with us. THE ROLEWe are searching for enthusiastic students or recent graduates eager to immerse themselves in the dynamic world of RV and campervan rentals while gaining practical tourism experience at our Dublin depot.As a Tourism & Operations Intern, you will embody our brand's welcoming spirit, assisting guests in preparing for unforgettable road trips and ensuring their journeys conclude as delightfully as they commenced. If you thrive on meeting new people, embrace challenges, and enjoy a fast-paced atmosphere, your next adventure begins here! WHAT YOU WILL WORK ON:Front-office activities:Customer service and sales: Manage check-ins and check-outs, register guests, process payments, explain campervan functionalities, terms and conditions, and upsell road trip extras.Back-office activities:Operations handling: Align reservations with available campervans, verify and prepare campers, and coordinate road trip extras and kits.Quality control: Maintain campervans in top condition, identifying and addressing maintenance or repair needs.
