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.

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

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.

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.

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.

At Intercom, we are pioneering the future of customer service through artificial intelligence. Our mission is to empower businesses to create exceptional customer experiences.Our flagship AI agent, Fin, represents the forefront of customer service technology. By offering seamless, 24/7 support, Fin enhances customer interactions and redefines service excellence. When paired with our Helpdesk, it evolves into the Intercom Customer Service Suite, which provides AI-enhanced solutions for intricate queries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 businesses globally, Intercom is establishing a new benchmark in customer service. Our commitment to innovation drives us to push boundaries, work with urgency, and consistently deliver outstanding value to our clients.What is the opportunity?We are on the lookout for Staff Product Engineers to join our AI Group, focusing on the development of AI-driven products. As a Product Engineer specializing in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams. A deep understanding of our products, customers, and technological framework is essential.Your role will involve defining new ML features, exploring suitable algorithms and technologies, and rapidly delivering prototypes to our customers.We are a highly product-focused team that collaborates with Product and Design teams across the organization. Our dedicated engineers enable quick transitions to production, often releasing beta versions within weeks following successful offline testing.We are passionate about leveraging machine learning technology, having successfully productized a range of solutions from traditional supervised models to innovative applications of transformer neural networks. Our commitment to testing and measuring the real-world impact of each model we deploy is unwavering.If you are an experienced product engineer with a strong analytical mindset and hands-on experience with ML systems, we invite you to connect with us!

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!

At Intercom, we pride ourselves on revolutionizing customer service through advanced AI technology. Our mission is to empower businesses to deliver exceptional customer experiences.Our leading AI agent, Fin, is recognized as the most sophisticated customer service solution available, enabling businesses to provide consistent, high-quality support. By integrating Fin with our Helpdesk, we offer a comprehensive solution—the Intercom Customer Service Suite—designed to tackle complex inquiries that necessitate human intervention.Founded in 2011 and trusted by nearly 30,000 companies worldwide, Intercom is redefining customer service standards. Our core values drive us to push boundaries, innovate rapidly, and consistently deliver unparalleled value to our clients.What is the opportunity?We are actively seeking Staff Product Engineers to join our AI Group, focusing on the development of Intercom's AI-driven products. As a Product Engineer in machine learning (ML), you will collaborate closely with both our ML Scientists and product teams, ensuring a deep understanding of our products, customer needs, and the ML technology stack.This group is responsible for defining innovative ML features, researching suitable algorithms and technologies, and swiftly delivering prototypes to our customers.Our team prioritizes product excellence, working in partnership with Product and Design teams. Our dedicated engineers enable us to deploy quickly, often reaching beta stages within weeks after successful offline testing.We are passionate about leveraging machine learning technology, having productized everything from traditional supervised models to groundbreaking unsupervised clustering algorithms and advanced transformer neural networks. We rigorously test and measure the real-world impact of each model we implement.If you are a seasoned product engineer with an analytical mindset and hands-on experience with ML systems, we want to hear from you!

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.

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.

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

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).

At Gong, we leverage cutting-edge AI technology to revolutionize the way revenue teams achieve success. Our Gong Revenue AI Operating System integrates data, insights, and workflows into a cohesive platform that observes, guides, and collaborates with some of the most accomplished revenue teams globally. With the Gong Revenue Graph, AI-driven intelligence, specialized agents, and trusted applications, we empower over 5,000 companies worldwide to gain profound insights into their teams and customers, automate essential sales processes, and close more deals with enhanced efficiency. Discover more at www.gong.io.Join Gong to be part of a dynamic team dedicated to pioneering innovative products and setting ambitious goals. We are shaping the landscape of revenue intelligence and invite individuals who are passionate about building the future with us. You will collaborate with a team that dreams big, moves quickly, and values both the craft of our work and the well-being of our colleagues. At Gong, transparency and trust form the foundation of our operations, and every team member has the chance to make a significant impact. If you aspire to grow, innovate, and engage in meaningful work, Gong is the ideal place to elevate your career.As a Customer Learning Consultant, you will deliver engaging live training sessions to our expanding customer base, showcasing your energetic and articulate presentation skills.

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.