Machine Learning Intern Co Op Jobs

Opportunity Overview: As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation Provide scientific and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives. What you’ll need: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Nice-to-haves Experience with generative AI or Retrieval Augmented Generation (RAG) Experience working with unstructured healthcare data (e.g., clinical notes) Experience with OCR or image-based document understanding techniques Hands on experience using AWS tools such as SageMaker Studio ISMS roles and responsibilities Good knowledge of Information practices. Assist the manager in all the information security activitie

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while balancing User Experience and Platform Revenue. We are hiring a Senior Applied Scientist II to lead the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematic

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The mission of the search and discovery team is to connect a billion users with the best connections and content at the right time, covering an extremely diverse range of recommendations and search problems at high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. Our recommendation systems suggest all games that the users see and play with across all surfaces. As a Senior Engineering Manager for the Search & Discovery ML team, you will lead the architects of exploration for one of the world's largest immersive platforms. You will be responsible for the core algorithms that connect over 120 million daily active users with millions of 3D experiences, items, and social connections. This is a high-impact leadership role where your team’s models directly determine the growth, retention, and satisfaction of the Roblox community. You will move beyond traditional recommendation systems into the realm of multimodal, agentic, and generative discovery . You Will: Lead and grow a high-performing team of machine learning engineers, fostering a culture of ownership, collaboration, and engineering excellence. Establish a lo

Role Purpose At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II , you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS. What You’ll Do Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows Write efficient, production-grade SQL and Python code for large-scale data processing and analysis Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines Improve pipeline performance, reliability, and observability, ensuring high data quality in production Build and maintain systems to support model performance tracking and data drift monitoring Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows Contribute to data architecture decisions and best practices across the platform Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure What We’re Looking For 3–5 years of experience in Data Engineering, Data Platforms, or related roles Strong proficiency in Python and SQL with experience in production systems Hands-on experience with AWS services (S3, EC2, SageMaker or similar) Solid experience building and managing Airflow (or similar orchestration tools) Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design) Experience working with large-scale datasets and distributed data systems Experience supporting ML workflows, datasets, or evaluation pipelines Strong problem-solving skills and ability to work independently in a fast-paced environment Nice to Have Experience w

We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details. WHAT YOU’LL BE DOING: The task involves the development and upkeep of data pipelines for training and evaluating models Exploratory data analysis will be conducted to enhance model accuracy and performance Experiments and evaluations of machine learning models will be carried out to identify and address any issues WHAT WE LOOK FOR IN YOU: Strong experience in machine learning Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation Strong analytical and problem-solving skills, as well as attention to details WHY SHOULD YOU JOIN OUR TEAM? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime 40 paid days off Competitive salary and performance-based bonuses

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... 🧠 You will... Solve our most ambitious problems with the right tool for the task Collaborate cross-functionally to bring your ideas to life in the product Identify problems, prototype solutions, evaluate their return on investment, and then implement the best solution at scale to improve the lives of our millions of learners each day Share your findings both within Duolingo as well as to the broader research community ✅ You have... You have an Ph.D. in computer science or related technical field (or expect to by August 2027) A portfolio of impactful work, in the form of (for example) publications, open-source projects, or AI internships Ability to relocate to Pittsburgh, PA or New York, NY A creative, interdisciplinary, and entrepreneurial approach to R&D Strong debugging and critical thinking skills ❤️ Why you'll love working here... Language learning opportunities Catered in-house lunches and breakfast Company-wide Hackathon PTO and company holidays Frequent company-wide dinners, monthly celebrations, social clubs, and so much more! The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your

About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for me

About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring AI/ML Engineers across several teams, Trust & Safety, Lending, Growth, and Foundation Models, and you'll be matched with the team where your background, experience and interests fit best. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into decisions that protect members from fraud, expand access to credit, and power the personalized experiences and marketing that help millions of members get more out of products like MyPay, Instant Loans, and SpotMe — along with the foundational models the rest of our teams build on. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters. In this role, you can expect to Build, train, and deploy deep learning and classical ML models on large-scale financial, transactional, and behavioral datasets Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Contribute to the shared ML platform, tooling, and standards that the rest of the team builds on Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have Experience building and deploying deep learning models

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do We're hiring a Product Counsel to be a core member of Sierra's growing legal team. This role will report to our Associate General Counsel, Product and Privacy, as part of our growing product legal function. We are looking for someone who has deep expertise in product counseling for AI or other emerging technologies. You will be a legal partner for Sierra’s product and engineering teams, and help shape how our products go to market responsibly, ensuring privacy, compliance, and risk considerations are embedded throughout the product lifecycle. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we'll provide the support and opportunities you n

As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run. In this role you will: Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan. Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build. Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in. Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk. Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the w

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technical Content Lead Opportunity The Office of the CTO for Strategy & Customer Zero is seeking a creative, articulate, and thought-provoking Technical Content Lead to translate complex technological initiatives and enterprise security architectures into dynamic, engaging content. In this role, you will be responsible for crafting high-impact messaging for three primary stakeholder audiences: The Customer Zero Team: Highlighting Okta’s internal technology adoption and helping the world understand how we ‘drink our own champagne’, depict real-world deployment lessons, and portray architectural best practices. Key messages will be delivered through Okta TV, webinars, technical whitepapers, and industry conferences by the Customer Zero team. The Executive Sponsor Program: Creating executive-ready briefs, thought leadership pieces, bespoke talking points, poignant content and relationship nuggets, and strategic messaging that resonate with Okta’s strategic customers and their CxO’s. Key messages will be delivered primarily through 1:1 peer-to-peer CxO relationships, with occasional onsite Executive Briefings and roundtable discussions. The CTO for Strategy: Partnering with the CTO to produce thought-provoking whitepapers, vision documents, FAQ’s, and strategic briefs that articulate long-term technology roadmaps and market positioning. You will partner closely with Marketing, Legal, Sales, and Customer Success to strike the perfect ba

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As a Security Specialist Solutions Architect, you will bring deep expertise in SIEM solutions , security technologies, and consultative selling to support customers in securing their data and infrastructure. You will bring to bear your knowledge of vendor ecosystems, security architectures, and operational processes to help customers solve complex challenges, enhance incident response, and build modern, scalable security solutions. Joining Elastic Means joining a company that: Empowers you to make a real impact: Your work will directly influence the success of organizations worldwide, helping them unlock new opportunities and make insightful decisions. Offers unparalleled growth opportunities: We cultivate a culture of learning and provide access to world-class training programs and innovative technology. Connects you with hardworking individuals: Collaborate with a team with varied strengths of engineers, data scientists, and industry experts who are passionate about pushing the boundaries of security analytics and AI-powered solutions. Rewards you for your contributions: Enjoy a competitive compensation and benefits package that reflects your talent and dedication. Our Mission: To help people understand their data and align with their desired outcomes Our Values: Collaboration, Willingness, Customer Focus, and Innov

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The opportunity: We are seeking a Senior Product Manager to lead our Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence. Financial crime keeps getting more complex, and as Adyen expands into new products and markets, our detection needs to scale with it - without becoming a bottleneck for growth. This role needs a Product Manager who can take a clear strategy and drive it to execution, make strong trade-offs, and build trust with Compliance and other senior stakeholders. You need a track record of building ML-driven products in a regulated environment. You'll lead a team of Data Scientists, Data Analysts and Backend Engineers, and work closely with Compliance, Operations and other product teams. What you'll do: Risk Detection & ML Modeling: Lead the build and scaling of Machine Learning models, rules and risk signals that detect financial crimes across Adyen's products, markets and customer base. Scalable, Self-Service Detection: Move financial crime detection toward a self-service framework that picks up new typologies quickly, using ML, GenAI and agentic approaches to reduce manual effort and keep pace with Adyen's growth without adding headcount. Strategy Execution & Prioritization: Own the execution of the financial crime detection strategy. Prioritize ruthlessly, make data-driven

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. Client Growth Manger Team Overview: InMobi’s Client Services (CS) Org oversees the end-to-end relationship and business management for InMobi’s advertising clients across the globe. This function is structured regionally and focuses on nurturing and growth of client relationships in the specific region (APAC), serving their needs across InMobi’s different ad platforms (InMobi DSP, CTV, Affiliat

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace organization at Lyft is responsible for accelerating the growth of the business while delivering on key business and financial metrics, and Pricing sits at the heart of it. The Dynamic Pricing & Offer Selection team uses real-time and historical data to set the price of every ride on Lyft, balancing price and ETA so riders have a great experience and drivers have earning opportunities when and where demand is highest. We also decide which ride options a rider sees, which makes our systems one of the highest-traffic, most business-critical services at the company. We're a tightly integrated team of software engineers and data scientists spread across the US and Canada. Engineers and scientists work side by side to take machine learning and optimization models from research to production while scaling our systems to handle more volume. We are looking for an Engineering Manager to lead a group of 6-8 engineers. You'll own the reliability and evolution of dynamic pricing systems that operate at Lyft's full scale, partner closely with our technical and product leadership to define the roadmap, and grow a strong team of engineers. This is a hands-on leadership role for someone who enjoys going deep on technical tradeoffs, cares equally about operational excellence and business outcomes, and is energized by working in a fast-paced environment with high impact. Responsibilities: Execution and Planning Own and drive engineering execution for the team's roadmap, from planning through delivery, adapting as priorities and business conditions change Define the team's engineering vision and short- and mid-term plans in partnership with Science and Product, making clear tradeoffs between technology, product and business needs Facilitate cross-functional decision-making and resolve blockers with