Staff Machine Learning Scientist

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 C…

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.

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.

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.

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

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 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.

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.

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.

About the RoleWe are seeking a pioneering Founding AI Data Scientist to play a key role in shaping and developing the intelligence layer that underpins Grand's innovative platform.This position offers a unique opportunity for an individual contributor to make a significant impact with real ownership. You will adopt an AI-first approach by utilizing state-of-the-art tools to expedite analysis, experimentation, and iteration. Your mission will be to interpret complex, real-world data to facilitate trustworthy, explainable, and practical decision-making.This is not a typical research lab position or a demo factory. You will be creating AI systems that function in production, drive tangible financial outcomes, and improve continuously. Your ability to exercise sound judgment is as crucial as your modeling skills, as determining where AI can add value is a fundamental part of your role.You will work closely with the founders, builders, and creative teams, influencing how intelligence is conceptualized, assessed, and implemented across our platform. This role offers a seat at the founders' table, allowing you to contribute to the ethical application of AI in a regulated, real-world context.Key ResponsibilitiesDesign and develop essential AI and data systems that empower decision-making across the platform.Manage complex, evolving data from diverse internal and external sources.Create models and signals that maintain a balance between accuracy, uncertainty, and explainability.Define how intelligence is represented, modified, and executed within the product.Determine when to apply machine learning, statistical methods, rules, or hybrid approaches and articulate the rationale behind these choices.Collaborate closely with product and engineering teams to ensure that AI is integrated into workflows seamlessly.Establish standards for evaluation, monitoring, and iterative improvements in production.Utilize contemporary AI tools, including large language models as applicable, with a preference for leverage over mere novelty.Work in partnership with regulatory and compliance teams to ensure that AI outputs are defensible and robust.Act swiftly while maintaining a careful approach, recognizing the implications of misplaced confidence.Essential QualificationsSolid foundation in statistics, probability, and applied machine learning.Demonstrated experience in deploying AI or machine learning systems in production environments.Experience handling non-ideal data characterized by partial, delayed, or noisy ground truth.Ability to communicate complex concepts clearly and effectively.Passion for continuous learning and staying updated with industry trends.

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!

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

Join Eurofins Scientific as a Senior Medical Scientist / Senior Biomedical Scientist specializing in Histology. In this pivotal role, you will apply your expertise in histopathology to contribute to innovative medical solutions that enhance patient care.As a key member of our team, you will be responsible for conducting complex histological analyses, collaborating with interdisciplinary teams, and ensuring the highest standards of laboratory practices. Your contributions will be essential in driving research initiatives and supporting diagnostic processes.

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!

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!

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.

At Intercom, we are revolutionizing customer service through AI, empowering businesses to enhance their customer interactions and experiences.Our flagship AI agent, Fin, stands at the forefront of customer service technology, enabling businesses to provide seamless, 24/7 support. Fin integrates with our Helpdesk to create the Intercom Customer Service Suite, a comprehensive solution for handling 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 excellence. Our core values drive us to push boundaries, innovate rapidly, and deliver exceptional value to our partners.What’s the Opportunity?The Research, Analytics & Data Science (RAD) team is dedicated to transforming insights into actionable strategies. We discover vital customer, product, and business insights, embedding them into tools and decision systems that enhance go-to-market workflows.With AI unlocking a new era of internal tools, we are moving beyond traditional dashboards to develop LLM and agent-powered workflows that autonomously conduct account research, summarize past interactions, generate personalized outreach, assess renewal risks, and create essential documents—allowing Sales and Success teams to concentrate on high-impact conversations.The RAD team collaborates closely with GTM Systems to identify challenges, devise solutions, and measure our impact from inception to execution.This role is ideal for a proactive individual who thrives in dynamic environments, relishes solving intricate real-world challenges, and is motivated by the tangible business results of their work.What Will I Be Doing?Design, implement, and launch AI-driven internal tools tailored for GTM applications, such as account research, action recommendations, renewal probabilities, pipeline risk identification, QBR/autobrief generation, and post-call follow-ups.Manage the end-to-end process: Oversee the complete lifecycle from defining the problem and modeling data to developing production-ready solutions, including building Python backends and React frontends.Prototype swiftly, deploy to learn: Rapidly iterate with users, swiftly transitioning to production to enhance impact.Measure for success and impact: Establish metrics based on real usage and demonstrable business outcomes.

Intercom is a leading AI Customer Service organization dedicated to revolutionizing how businesses deliver outstanding customer experiences.Our flagship AI agent, Fin, stands as the most sophisticated customer service AI agent available. Fin empowers businesses to provide continuous, flawless customer service, significantly enhancing customer interactions. When paired with our Helpdesk, it forms the Intercom Customer Service Suite, a comprehensive solution that offers AI-enhanced support for complex or high-touch inquiries requiring human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses around the globe, establishing a new benchmark in customer service. Our commitment to our core values drives us to push boundaries, work with urgency, and consistently deliver exceptional value to our customers.What is the opportunity?The Research, Analytics & Data Science (RAD) team is pivotal in transforming insights into proactive actions. We extract valuable customer, product, and business insights and convert them into tools and decision-making systems that seamlessly integrate into go-to-market (GTM) workflows.With AI technology, we are transitioning from static dashboards to dynamic, agent-powered workflows that automate tasks such as account research, summarizing previous interactions, generating personalized outreach, identifying renewal risks, and preparing documentation—allowing our Sales and Success teams to engage in more meaningful conversations.The RAD team collaborates closely with GTM Systems to identify problems, devise solutions, and measure the impact of our initiatives, from prototype to production.This role is ideal for an individual who excels in ambiguous situations, thrives on solving intricate real-world challenges, and is motivated by the tangible impact their work has on the business.What will I be doing?Design, evaluate, and deploy AI-driven internal tools tailored for GTM scenarios—ranging from account research and summaries to recommendations for next-best actions, renewal likelihood assessments, pipeline risk detection, generating QBR/autobriefs, and post-call summarization and follow-ups.Full lifecycle ownership: Manage the complete process from problem definition and data modeling to the development of production-ready tools, including writing Python backends and React frontends.Rapid prototyping and deployment: Collaborate with users to quickly build prototypes, followed by swift productionization to enhance iterative impact.Measurement of adoption and outcomes: Establish success metrics based on actual usage and quantifiable business results.

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.

Join our dynamic team at Intercom as a Senior Finance Data Scientist focused on enhancing our existing business strategies. In this pivotal role, you will leverage advanced data analytics and machine learning techniques to derive insights that drive financial decisions and optimize performance. Collaborate with cross-functional teams to develop innovative solutions that support our growth objectives.