Machine Learning Engineer II

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.

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 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while our intuitive APIs deliver hyperlocal edge technology directly to users.Our mission is to transform outdated systems, automate manual processes, and resolve real-world challenges through innovative connectivity solutions.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.

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.

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.

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.

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

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.

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 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 our innovative team as an AI Software Engineer II at Dun & Bradstreet in Dublin, Ireland. In this role, you will be responsible for developing advanced AI solutions that drive business insights and enhance decision-making processes. You will collaborate with cross-functional teams to design, implement, and optimize machine learning models and algorithms. Your expertise will contribute to the creation of scalable AI applications that meet the needs of our clients.

Join Pinterest as a Software Engineer II, where you'll be part of a dynamic team dedicated to shaping the future of visual discovery. In this role, you will design, develop, and maintain high-quality software solutions that enhance user experiences. Collaborate with cross-functional teams to deliver innovative features that align with our mission of bringing everyone the inspiration to create a life they love.

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.

At Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each Klaviyo (as we refer to ourselves) contributes to our vibrant workplace. We believe in providing equitable opportunities for success and value the unique insights each individual brings beyond conventional job qualifications. If you find yourself closely aligned with this description, we encourage you to apply. To explore more about life at Klaviyo, visit klaviyo.com/careers and discover how we empower creators to shape their own futures.Team Overview:The Amplify Engineering team is responsible for developing internal tools, platforms, and AI-driven automation that enhance the productivity and scalability of our operations as Klaviyo continues to grow. We collaborate across various departments, including Sales, Marketing, Engineering & Product, Customer Service & Success, and Finance, to address real operational challenges with thoughtfully designed software solutions.Our projects encompass internal applications, third-party integrations, interactive dashboards, CMS integrations, and sophisticated AI systems that automate repetitive tasks, deliver timely information, and support better decision-making. We thrive on rapid feedback from our internal clients, enabling us to ship solutions quickly, learn swiftly, and witness the immediate effects of our contributions on deal acceleration, ticket resolution, and smoother product launches.This position is tailored for software engineers who are passionate about transforming real-world challenges into dependable, scalable solutions. The work you do will be highly visible, directly influencing how thousands of Klaviyos accomplish their daily tasks.How You’ll Make an Impact:The Amplify team is at the forefront of building the internal platforms, automation, and AI systems that drive our daily operations at Klaviyo. As a Software Engineer II on Amplify, you will:Design, develop, and maintain critical internal products and platforms, including web applications, APIs, data and event pipelines, and AI workflows that are essential for Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You will take ownership of features and small-to-medium projects from inception through deployment and iterative improvement.

About ChalkChalk is revolutionizing the data platform landscape, enabling the future of machine learning applications. We simplify complexities and overcome latency and scalability challenges that have historically hindered ML capabilities. Our platform combines the high performance of Rust with developer-friendly tools that are a pleasure to work with. Trusted by leading companies, Chalk is instrumental in tackling issues such as preventing fraudulent credit card transactions, verifying identities, and enhancing clean energy capture. We have recently secured a $50 million Series A funding round led by Felicis.About the RoleAs a talented software engineer, you will design and implement tailored technical solutions while collaborating with our machine learning teams to enhance Chalk’s proprietary infrastructure. You will engage directly with Chalk's customers to construct efficient feature pipelines addressing challenges in healthcare, finance, and recommendation systems. This role offers you a remarkable chance to work closely with clients, gathering requirements and engineering feature pipelines that support critical applications, including cancer detection, fraud prevention, and product recommendations. Join us in-person as an early member of our high-growth startup and make a lasting impact.Your ResponsibilitiesDevelop code to implement Chalk technology for our customers and prospects, familiarizing yourself with Chalk's infrastructure to ensure optimal integration across diverse environments.Collaborate closely with our Engineering and Sales teams.Serve as the primary technical point of contact during pre-sales and post-sales processes, including customer onboarding and ongoing support.Advise customers on new product offerings as their business needs evolve.Assist in interviewing and expanding the Engineering team.

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 Klaviyo, we celebrate the diverse backgrounds, experiences, and perspectives that each team member—affectionately known as Klaviyos—brings to our dynamic workplace. We believe in equitable opportunities for success and value the unique insights that every individual contributes beyond standard job qualifications. If you find that your experience closely aligns with our needs, we encourage you to apply even if you don't meet every requirement. To discover more about life at Klaviyo, please visit klaviyo.com/careers to see how we empower creators to own their destinies.Team OverviewThe Infrastructure Security team ensures that engineers can effortlessly make secure choices while developing top-tier software at remarkable speeds. Security is integrated by default—creating a seamless experience that enhances both the engineers' workflow and Klaviyo's overall security posture.Our initiatives sit at the crossroads of security, infrastructure, and software engineering, as we design and build cloud-native platforms and services that are reliable, secure, and high-performing on a global scale—forming the essential backbone for all Klaviyo engineers.This position is ideal for engineers who are passionate about constructing modern distributed systems, prioritize security and reliability, and wish to make a significant impact within a large engineering organization.Your ImpactAs a Software Engineer on the Infrastructure Security team, you will design and maintain the systems that empower Klaviyo engineers to deliver secure software confidently. Your responsibilities will include:Architecting, developing, and maintaining cloud-native security services utilized throughout Klaviyo.Taking ownership of key components and services from initial implementation to production deployment.Enhancing the availability, scalability, latency, and efficiency of infrastructure security systems.Collaborating with senior engineers on system design and architecture, contributing innovative ideas and technical solutions.Identifying and addressing performance, reliability, and security concerns in distributed systems.Utilizing cutting-edge technologies such as Python, Golang, AWS, Kubernetes, Terraform, and modern data storage solutions.Actively engaging in design reviews, code reviews, and collaborative brainstorming sessions.

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!

About ChalkChalk is at the forefront of innovation, creating a cutting-edge data platform designed to propel machine learning applications into the future. We eliminate the traditional barriers of complexity, latency, and scalability that have hindered ML capabilities. Our platform offers the performance of Rust combined with user-friendly tools that developers appreciate. Industry leaders rely on Chalk for various applications, including preventing fraudulent credit card transactions, identity verification, and optimizing clean energy utilization. Recently, we secured a $50 million Series A funding round, led by Felicis.Role OverviewIn the position of Support Engineer at Chalk, you will serve as the primary technical support specialist, ensuring that our customers enjoy outstanding experiences with our products. You will engage directly with clients in sectors such as finance, healthcare, and e-commerce, assisting them in troubleshooting and optimizing their use of Chalk's platform. This role presents a unique opportunity to gain in-depth knowledge of our technology, collaborate closely with our Engineering and Forward Deployed Engineering teams, and make a meaningful contribution to customer satisfaction and product quality.Key ResponsibilitiesDeliver prompt and effective front-line technical support to Chalk customers, diagnosing and resolving technical issues as they arise.Work collaboratively with the Engineering team to escalate and resolve complex technical problems efficiently.Cultivate a thorough understanding of our products to assist customers in maximizing their value from Chalk.Document solutions, develop knowledge-base articles, and share insights to minimize recurring issues.Identify and recommend improvements to enhance product reliability, usability, and customer satisfaction.QualificationsA solid technical background with experience in technical support or software engineering.Proficiency in programming languages such as Python and SQL.Excellent troubleshooting, analytical, and problem-solving abilities.Exceptional written and verbal communication skills.Ability to collaborate effectively with both technical and non-technical teams.Previous experience in customer-facing technical roles is highly preferred.Bachelor's degree in Computer Science or a related field is required.