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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.
Sony Interactive Entertainment Global is a leading global interactive entertainment company, dedicated to delivering innovative gaming experiences and cutting-edge technology. As part of the Sony family, we pride ourselves on fostering creativity and collaboration, making us a great place for passionate individuals to thrive.
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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 co…
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
CarTrawler
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
Wayflyer
Company MissionAt Wayflyer, we strive to provide global access to top-notch products by empowering remarkable businesses to achieve their full growth potential. About WayflyerIn today's fast-paced business environment, small and medium-sized businesses (SMBs) require a financing partner that aligns with their growth aspirations. Traditional funding options can be slow and often limited. This is why we established Wayflyer.Our innovative technology allows for rapid business assessments, enabling us to generate financing offers that reflect true growth potential and deliver funds within 24 hours.Since our launch in April 2020, we've successfully allocated over $5 billion to thousands of businesses globally, supported by leading financial institutions such as J.P. Morgan. We are proud to be a trusted financing partner for various esteemed brands.At Wayflyer, our teams are genuinely cross-functional. You will collaborate with driven colleagues worldwide, all working together to seize a significant opportunity. Watch this video to hear their perspectives. Culture & Values at WayflyerOur core values at Wayflyer emphasize integrity, creativity, and bold optimism. We pride ourselves on being sound individuals, exceptional operators, and ambitious achievers who work collectively to deliver remarkable results. For more information, visit our careers page. Your Role at a Glance: Key contributions to the teamAs the Data Science Manager at Wayflyer, you will lead a talented team of 4+ Data Scientists and Machine Learning Engineers. We consider Machine Learning as an integral part of software engineering; your role involves being a hands-on technical leader, responsible for coding, reviewing pull requests, and deploying high-quality ML models that drive Wayflyer’s market strategies and funding processes.Team Leadership: Oversee, mentor, and expand a high-performing team of Data Science and ML engineers while nurturing a culture of technical excellence and code quality.
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.
Contentful
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.
Sony Interactive Entertainment Global
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.
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.
Pinterest, Inc.
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.
Intercom
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.
Sony Interactive Entertainment
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!
Jobs for Humanity
Jobs for Humanity seeks a Learning Delivery Manager to join the team in Dublin (NOCC). This role centers on managing and improving educational programs that serve people from many different backgrounds. The goal is to ensure these initiatives are accessible and have a meaningful impact. Key Responsibilities Oversee the rollout and daily operation of learning programs Make sure educational offerings reach participants from diverse communities Use learning methodologies to strengthen program effectiveness Advance the organization’s commitment to inclusivity through education Location This position is based in Dublin (NOCC).
Intercom
At Intercom, we are revolutionizing customer service through our AI-driven solutions. Our mission is to empower businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, stands as the most advanced customer service AI in the industry, enabling businesses to provide round-the-clock, flawless service that enhances customer interactions. When paired with our Helpdesk, it forms the Intercom Customer Service Suite, a comprehensive solution designed for complex queries that may require human intervention.Founded in 2011 and serving nearly 30,000 businesses worldwide, Intercom is setting new industry benchmarks. Our commitment to pushing boundaries, rapid development, and delivering unparalleled value drives our success.What’s the opportunity?We are seeking experienced Senior Product Engineers to join our AI Group, focused on developing innovative AI-powered products. As a Product Engineer in Machine Learning, you will collaborate closely with ML Scientists and product teams to understand our offerings, customer needs, and the technical landscape.Your responsibilities will include defining new ML features, exploring suitable algorithms and technologies, and swiftly prototyping solutions for customer feedback.Our team operates with a strong product focus, working collaboratively with Product and Design teams. With dedicated engineers, we achieve fast production cycles, often launching beta versions within weeks of successful offline testing.We are passionate about machine learning and have implemented a range of technologies—from traditional supervised models to advanced unsupervised clustering algorithms and innovative transformer neural networks. We rigorously assess the customer impact of our deployed models.If you possess a strong analytical mindset and hands-on experience with ML systems, we are eager to connect with you!
Articul8
Join Articul8 AI, where we develop cutting-edge Generative AI solutions designed for enterprises, empowering global organizations to extract unprecedented value from their data. Our innovative platform is trusted by leading companies worldwide, and we closely collaborate with clients to design, deploy, and scale AI solutions that create significant impact.Embrace the dynamic environment of a fast-paced startup where urgency and focus drive our mission. Each team member enjoys substantial ownership, and your contributions will directly influence our platform and the success of our clients. If you excel in a setting where innovation is a daily occurrence and the results of your work are clear, then Articul8 is your destination to achieve the pinnacle of your career.Role OverviewAs the AI/ML Engineering Manager, you will utilize your extensive technical expertise in machine learning and your leadership abilities to steer a high-performing team, define the technical roadmap, and deliver impactful solutions across our product suite. This role seamlessly integrates technical leadership, applied research translation, and cross-functional collaboration to provide scalable solutions for our customers. You will be responsible for shaping the AI strategy, promoting a culture of excellence, and ensuring data-driven execution in a fast-paced setting.Your role involves direct engagement with customers to comprehend their requirements and working closely with various teams at Articul8 to translate these needs into actionable tasks for your team. You will manage the lifecycle of features from ideation to deployment in production-grade code.Ideal candidates will have proven experience leading teams of both junior and senior engineers on multiple concurrent projects in a high-velocity environment. Proficiency in AI/ML, MLOps, cloud platforms, and coding best practices is essential.
At Intercom, we are at the forefront of AI-driven customer service, dedicated to empowering businesses to deliver exceptional customer experiences.Our flagship AI agent, Fin, represents the pinnacle of customer service AI technology, enabling businesses to provide continuous, flawless service that enhances customer interactions. By integrating Fin with our Helpdesk, we offer a comprehensive solution known as the Intercom Customer Service Suite, designed to tackle complex, high-touch inquiries that necessitate human intervention.Founded in 2011, Intercom has gained the trust of nearly 30,000 businesses globally, continuously setting the benchmark for outstanding customer service. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver remarkable value to our customers.What is the opportunity?We are seeking experienced Senior Product Engineers to join our AI Infrastructure team at Intercom, focused on the development of AI-powered products. As a Product Engineer within AI infrastructure, you will collaborate closely with our Machine Learning (ML) engineers and scientists. You will gain a profound understanding of our product offerings, ML technology stack, and our development processes, with the aim to enhance and expedite these processes further.The broader AI group is tasked with defining new ML features, investigating suitable algorithms and technologies, and quickly deploying initial prototypes to our customers.Our AI infrastructure team is building a platform that enables rapid adaptation to new AI advancements within days, while ensuring a reliable service for our customers. We provide foundational services for AI systems and develop framework-level code utilized daily by other engineers and scientists in the AI division.Our passion lies in leveraging machine learning technology, having successfully productized a spectrum of solutions ranging from traditional supervised models to innovative unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the tangible customer impact of every model and adjustment we implement.If you are a seasoned backend engineer with an analytical mindset and practical experience in ML systems and platforms, we invite you to connect with us!
Avery Dennison
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.
Intercom builds AI-powered customer service tools that help businesses deliver reliable, round-the-clock support. Our AI agent, Fin, and the Intercom Customer Service Suite combine automation with human expertise to handle millions of customer inquiries every month. Since 2011, nearly 30,000 businesses worldwide have chosen Intercom to raise their customer service standards. Role overview The Senior AI Infrastructure Engineer role focuses on developing and scaling the systems that train and deploy Intercom’s next generation of AI products. The AI Infrastructure team works across the stack, from GPU-level engineering up to the user-facing agents that power customer support. This team has built training pipelines and inference systems for models like Fin Apex, which are tailored for customer service and serve as the foundation for Intercom’s AI capabilities. What you will do Design and scale training pipelines for large transformer and LLM models, including data ingestion, preprocessing, distributed training, and evaluation. Build and improve inference services to ensure fast, reliable experiences for clients, covering auto-scaling, routing, and failover. Optimize GPU-level performance by tuning kernels, improving resource utilization, and identifying bottlenecks in training and inference workflows. Work closely with ML scientists to implement new training and inference techniques. What we’re looking for Strong experience with model training or large-scale model inference, and hands-on knowledge of low-level GPU programming (such as CUDA or Triton). Experience in more than one of these areas is especially valuable. Location This position is based in Dublin, Ireland.
Role Overview Tines is looking for a Learning and Development Partner in Dublin, Ireland (hybrid) to help shape employee growth and support team performance. This role works closely with different departments to build and deliver training programs that strengthen skills and encourage ongoing learning. What You Will Do Collaborate with teams across the company to design, implement, and review training initiatives Identify areas where employees need development and recommend targeted solutions Support a culture that values continuous learning and professional growth Ensure training programs help the workforce adapt to changing business needs
Role Overview Primark is hiring a Data Science & Measurement Lead in Dublin. This position guides data-driven projects that shape how the company measures performance and makes decisions. The role works closely with teams across the business to find new ways to support growth and strengthen customer experiences.
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