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Machine Learning Intern Co Op Jobs

5,330 active opportunities · Updated for October 2026

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Explore current machine learning intern co op jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Z
ZipRecruiter
📍 Santa Monica• $175K – $235K/yr
13 days ago

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Every application on ZipRecruiter comes out of two things: what we know about a job seeker, and the flow they go through to apply. The profile holds that knowledge: resume, work history, skills, preferences, and the trade-offs that matter in their job search. The apply flow turns interest in a job into an application an employer can act on. Together they decide how many job seekers who find a job they like go on to apply, and how well each application represents the person behind it. You will own Product for both. That means deciding what we ask job seekers and when, how we build and keep an accurate picture of each person, and how we get from a job click to a completed, high-quality application with as little effort from the user as possible. The goal is simple to state and hard to deliver: a job seeker should never have to tell us something twice, and every application should show an employer the right reasons to respond. Few Product roles at ZipRecruiter have more stakeholders. The apply flow is where employer requirements meet the job seeker experience. Employers ask screening questions and rely on applications arriving in their own systems. Trust and safety teams protect the marketplace from fraudulent and low-quality applications. Profile data feeds matching, messaging, and the resume database tools employers use. This is a high-stakes

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Z
ZipRecruiter
📍 Santa Monica• $200K – $255K/yr
13 days ago

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: Every application on ZipRecruiter comes out of two things: what we know about a job seeker, and the flow they go through to apply. The profile holds that knowledge: resume, work history, skills, preferences, and the trade-offs that matter in their job search. The apply flow turns interest in a job into an application an employer can act on. Together they decide how many job seekers who find a job they like go on to apply, and how well each application represents the person behind it. You will own Product for both. That means deciding what we ask job seekers and when, how we build and keep an accurate picture of each person, and how we get from a job click to a completed, high-quality application with as little effort from the user as possible. The goal is simple to state and hard to deliver: a job seeker should never have to tell us something twice, and every application should show an employer the right reasons to respond. Few Product roles at ZipRecruiter have more stakeholders. The apply flow is where employer requirements meet the job seeker experience. Employers ask screening questions and rely on applications arriving in their own systems. Trust and safety teams protect the marketplace from fraudulent and low-quality applications. Profile data feeds matching, messaging, and the resume database tools employers use. This is a high-stakes

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C
Clickup
📍 United States• Full-time• Remote• $110K – $150K/yr
13 days ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're hiring a Senior Technical Account Manager (TAM) who has already done this job at a SaaS company: someone who has led implementations, owned enterprise accounts and knows what it takes to drive adoption in complex organizations. You'll be a strategic partner and trusted advisor to our customers, combining strong relationship management with deep knowledge of ClickUp's platform. This role sits where customer success, solution strategy and technical enablement meet, and it drives long-term growth, adoption and measurable business outcomes. TAMs own the full post-sales customer lifecycle. That starts with implementation and onboarding and continues through ongoing managed services, strategic expansion and renewal outcomes across your book of business. This role requires an AI-native professional who doesn't just use AI tools but designs, builds and scales AI-powered workflows and agents, and brings that hands-on expertise to customers. TAMs lead with a customer-first mindset. You'll build success plans, guide onboarding and adoption and make sure stakeholders keep seeing value throughout their lifecycle. You'll support technical initiatives like process optimization, workflow design and AI enablement, and you'll also own the overall health, engagement and strategic direction of your accounts. You'll work cross-functionally with Sales, Product and Support so each customer's success story is long-term, scalable and impactful. Technical Account Managers (TAMs) deliver measurable value and meaningful business outcomes across their customer portfolio by focusing on: Customer Enablement & Onboarding: G

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SA
Scale AI
📍 New York• $100.8K – $126K/yr
13 days ago

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: Own outbound prospecting and customer engagement through Stage 2 qualification Drive customer outreach and education during the M1 phase of the sales process Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology Lead discovery conversations to identify and qualify high-potential enterprise opportunities Develop key narratives, content, and research through Stage 2 qualification Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy Partner closely with Account Executives to transition qualified opportunities into active deal cycles Develop a strong understanding of enterprise AI deployment patterns and customer use cases Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools Operate effectively within a verticalized sales organization acr

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Zoox
📍 Foster City• Full-time• Hybrid• $129K – $171K/yr
13 days ago

As Strategic Sourcing Manager of Direct Procurement, you will be responsible for Zoox’s strategic sourcing and industry partnerships, which includes working cross-functionally to understand needs for third-party engagement across the business, finding and evaluating potential partners and suppliers, drafting and issuing RFQs, leading the negotiation of all key terms and conditions as well as pricing, managing commercial and supply chain issues, identifying and executing on cost reduction opportunities, and overall management of third party relationships. You can operate independently and possess expertise in electronics, powertrain, chassis, body, safety systems, EV charging, fleet maintenance or capital equipment. In this role, you will: Lead procurement and partnership initiatives for vehicle direct materials (interiors, structural components, advanced hardware) Proactively engage with Zoox stakeholders (incl. engineering, operations, manufacturing, strategy, finance, and design) to derive and execute the medium-term (3-5 years) business and technology roadmap to support Zoox’s vehicle development program and autonomous ride-hailing service Develop the supply chain and partnership footprint with a long-term, strategic view Lead the day-to-day process of ensuring successful partnerships (milestone adherence, change order management, quality assurance, cost control, etc.) and build supplier performance assessments to support future sourcing decisions Design, conduct, and synthesize supplier, industry, and market research Drive cost transparency and build total cost of ownership models to support sourcing decisions Ensure optimal contract coverage for the commodity/service in partnership with engineering and legal support Build and maintain strategic relationships with key suppliers as the lead point of contact for all commercial issues Review, analyze, and finalize quote packages from

machine learningExcelfinance
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D
13 days ago

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

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D
13 days ago

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meanin

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O
13 days ago

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. About the Role We are seeking a dynamic, highly strategic, and deeply creative Senior Program Manager, Strategic Revenue Enablement, to join the Field Enablement team at Okta. Operating as a critical individual contributor on our team, you will be one of the lead architects behind our high-impact, strategic revenue programs. You will be responsible for owning, designing, orchestrating and executing key and "always-on" initiatives engineered to accelerate pipeline creation, scale annual recurring revenue (ARR) growth, and drive rapid product adoption across the field. In this role, you will be part of a team that acts as a primary conduit between Product, Marketing, and the Field, ensuring all enablement strategies, content, and execution models are seamlessly aligned with company-wide GTM goals and Chief Revenue Officer (CRO) methodologies. This is a hybrid role based in the Chicago office, requiring 2 days per week in our Chicago office. Key Responsibilities Global Enablement Strategy & Program Ownership: Own and execute highly complex, cross-functional enablement programs. Help lead the global sales enablement marketing strategy developing repeatable programs, messaging frameworks, pitch materials, and playbooks that drive ARR pipeline growth and help sellers communicate Okta’s value. Lead Lap Program Partnership: Partner with the program lead on the weekly production, programming, and content execution of Lead Lap (our weekly GTM broadcast for custom

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Z
Zscaler
📍 Germany• Remote
13 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Technical Success Manager to join our team. This is a remote role based in Germany, reporting to the Manager of Technical Success Management in the Customer Success department. You will guide customers through their Zero Trust journey as the central post-sales point of contact, helping customers adopt and maximize Zscaler's solutions to secure their digital transformation objectives. Your role centers on providing expert advice, building relationships, and ensuring successful solution adoption. What you'll do (Role Expectations) Build and nurture relationships with key customer stakeholders and operational service owners to define and prioritize the strategic alignment between customer objectives and Zscaler goals Offer technical guidance, product insights, and best practices to develop customized strategies for the integration and operationalization of Zscaler solutions Provide technical expertise and

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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 UK&I Solutions Engineering team guides Okta customers through their entire journey, from initial engagement to upsell and cross-sell, using their expertise in presentations, events, and meetings to ensure customers drive maximum value from our platform. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on Identity Security. Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform. What you’ll be doing: Involved in all stages of the customer’s sales lifecycle in the role of trusted technical advisor. Building sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to secure identity. Empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. Using your technical savviness and business

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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. The Role: Own the product strategy and execution for ad monetization across demand, auction, ad delivery and monetization infrastructure. Drive the evolution of the programmatic stack, improve yield and ad quality, and build new monetization capabilities across formats and surfaces. What You’ll Own: Own demand prioritization, auction strategy, pricing and partner allocation to maximize yield and revenue efficiency. Drive the

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B
Baseten
📍 San Francisco• Full-time• Remote• $240K – $270K/yr
14 days ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows. EXAMPLE INITIATIVES Your team will work on these types of projects as part of our Inference Runtime team: Agentic inference optimization: 50-90% faster engines Agentic Kernels in Production Live draft model training for speculative decoding The Baseten Inference Stack RESPONSIBILITIES Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews. Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales. Own the technical roadmap and execution for runtime performan

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Specialist Solutions Architect, Radar (Fraud) Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About The Team Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams. Stripe Radar is Stripe's fully integrated fraud and risk management platform. The Radar team's mission is to evolve from a best-in-class payment fraud product into a unified risk intelligence platform that protects businesses from all forms of financial loss—from sophisticated payment fraud and account takeovers to first-party misuse and policy abuse. With Radar, businesses can confidently navigate the evolving fraud landscape, accept more good revenue, and focus on growth. What You'll Do You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap. You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers. As a subject matter expert, you will scale the broade

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M
14 days ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Craft and analyze digital and analog circuits used in the development of memory products including simulating, optimizing, and floor planning DRAM circuits. Collaborate with various design and verification teams all over the world and support the efforts of groups such as Product Engineering, Test, Probe, Process Integration, Assembly, and Marketing to proactively craft HBM products that optimize all manufacturing functions and assure the best performance, power, cost, quality, reliability, time-to-market, and customer happiness. Innovate and integrate end-toend groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence). Employer will accept a Master’s degree in Electrical Engineering, Physics, Computer Engineering, Semiconductor Engineering or a related field and 10 years of experience in the job offered or in a related field. Position requires: 1. High-speed memory design on data paths, from I/O interface to core array 2. 2. Power domain network analysis 3. Memory test architectures like MBIST and production silicon validation 4. Digital design methodologies experience including RTL design, synthesis, and physical implementation 5. ASIC design development using digital design 6. Memory core timing, latency control, and signal integrity consideration in advanced designs <p style="

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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The OCT CPEE Diffusion Engineer is responsible for driving process and equipment engineering excellence within the Diffusion area to achieve world-class performance in safety, quality, cost, output, and technology enablement. The engineer will work closely with Manufacturing, Process Integration, Yield Enhancement, MAE, Central Teams, and Equipment Suppliers to improve equipment capability, manufacturing efficiency, productivity, and cost effectiveness. This role requires strong technical expertise, analytical problem-solving skills, and the ability to influence cross-functional teams to deliver sustainable business results Key Responsibilities Technical Excellence Drive Diffusion process and equipment performance improvements to support manufacturing objectives. Identify and implement opportunities to improve Manufacturing Availability (MA), Utilization, Throughput, WPD, and RPT. Lead technical investigations for equipment, process, and yield excursions using structured problem-solving methodologies. Develop innovative solutions to improve equipment capability, reliability, and productivity. Productivity & Capacity Improvement Support Max-Out, Productivity, Everest, WPD, and Cost Reduction initiatives. Analyze manufacturing constraints and develop solutions to improve fab output. Identify and execute productivity projects that improve cycle time, throughput, and equipment effectiveness. Support capacity

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