Machine Learning Intern Co Op Jobs

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Words With Friends Instant is seeking a Principal Data Analyst to be the analytics owner for the game: the person product, design, and engineering come to for data on player behavior, feature health, experimentation, and game strategy. As part of our analytics team, you'll play a crucial role in shaping the future of our game through data-driven insights. Here's how you'll shape the player experience: Product Strategy: Analyze long and short-term trends to deliver insights that influence product direction Experimentation: Design statistically sound experiments that drive measurable impact Business Intelligence: Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance What You'll Do : Collaborate with the Product team to enhance revenue, retentio

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... At GoDaddy, we're building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale. We're looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands-on role where you'll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions while helping shape the future of our machine learning platform. As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team. What you'll get to do... Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks. Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch. Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions

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 As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture. EXAMPLE INITIATIVES The B200 Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's first Blackwell GPU clusters. Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems to move customer workloads seamlessly across regions to optimize cost and latency. Precision GPU Triage: Developing automated Go-based operators to identify, cordon, and repair unhealthy H100 nodes in under an hour. The Supply Chain of Intelligence: Partnering with l

The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. In this role, you will design and implement methodologies, tools, and processes for safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software engineers throughout the Zoox software org, ranging from state-of-the-art AI Autonomy software, all the way to highly-critical RTOS and middleware components. In this role, you will: Be the go-to owner for the entire SSE pipeline ecosystem — from ClangTidy, ASAN/TSAN/Harden, and FBInfer — keeping every pipeline running smoothly across weekly, nightly, and CI so the rest of the org can trust the results. Take pipelines from prototypes to fully deployed, CI-enforced systems across branches, shaping how "production-grade" looks for stability tooling at Zoox. Turn raw issue data into dashboards and KPIs that tell a story — giving leadership and engineering teams a clear, real-time pulse on pipeline health and software quality trends. Play detective when things break — root-causing gnarly cross-platform and determinism, building the instrumentation and tooling to crack them. Help shape what's next for the pipeline suite — pitching in on new checker rollouts, testing strategy, and define how SSE scales its infrastructure Qualifications: Advanced degree (MS or PhD) in computer science, electrical engineering, robotics, aerospace, or r

The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. In this role, you will design and implement methodologies, tools, and processes for safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software engineers throughout the Zoox software org, ranging from state-of-the-art AI Autonomy software, all the way to highly-critical RTOS and middleware components. In this role, you will: Be the go-to owner for the entire SSE pipeline ecosystem — from ClangTidy, ASAN/TSAN/Harden, and FBInfer — keeping every pipeline running smoothly across weekly, nightly, and CI so the rest of the org can trust the results. Take pipelines from prototypes to fully deployed, CI-enforced systems across branches, shaping how "production-grade" looks for stability tooling at Zoox. Turn raw issue data into dashboards and KPIs that tell a story — giving leadership and engineering teams a clear, real-time pulse on pipeline health and software quality trends. Play detective when things break — root-causing gnarly cross-platform and determinism, building the instrumentation and tooling to crack them. Help shape what's next for the pipeline suite — pitching in on new checker rollouts, testing strategy, and define how SSE scales its infrastructure Qualifications: Advanced degree (MS or PhD) in computer science, electrical engineering, robotics, aerospace, or r

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Reverse Engineer Job Type: Full-time Location: Sterling, VA (Five days in office) Clearance Requirements: Active Top Secret clearance required Experience: Intermediate, Senior, and Principal levels WHAT YOU'LL DO SIXGEN is actively seeking candidates to provide critical support for a variety of IC, DoD, and DoJ customers. We welcome candidates across a range of experience levels, from early-career professionals to seasoned veterans. Our reverse engineers should be familiar with both traditional applications and operating systems, as well as embedded systems. SIXGEN is embracing AI to enhance the speed and efficiency of our work. You’ll have the opportunity to incorporate AI into your workflow, and experiment with new tools and strategies as the space evolves. This position may allow hybrid work; however, this is dependent on the project, therefore candidates may be required to be in the office full time. KEY RESPONSIBILITIES Reverse engineering compiled code with IDA Pro or Ghidra from a variety of computing platforms Identifying vulnerabilities through reverse engineering Developing C/C++ code in the kernel and userland on Linux, Windows, and embedded operating systems Developing Python code for server applications and processing of binary data streams Reverse engineering embedded system hardware including black box analysis, firmware extraction, and debugging using GDB, JTAG, and other equivalent tools Implementing automation for testing our tools, fuzzing, and using AI/ML for reverse engineering QUALIFICATIONS Intermediate: 3+ years of relevant experience. Senior: 6

As a Senior Software Engineer on our growing Battery team, you will design and develop backend services that support residential battery programs while maintaining a strong security posture across our infrastructure. Working closely with leading battery providers, you will improve grid flexibility and help push virtual power plants forward towards a sustainable climate future. This role is back-end and data focused, giving you the opportunity to build services, APIs, and new features to improve the quality and breadth of our battery solutions. You would join a relatively new and growing team with the opportunity to contribute to highly visible projects with significant client impact. Partnering with engineers, product, and OEMs, you will design backend services that provide direct client value and unlock the full potential of residential batteries. Main Responsibilities: What you'll do Build and maintain features across our battery solution Develop and maintain our client-facing REST API and the backend logic that powers it Build integrations with distributed internal services to abstract away complexity and enable new product capabilities Ensure proper security and data protection policies, procedures, and monitoring are in place Collaborate with product and engineering to continuously improve requirements and software quality Collaborate with other teams to enable new API features and help them build on top of utility client data Drive and embody the “Dev Owns Quality” culture Write and maintain technical documentation Other duties as assigned Required Skills and Experience: What you need 5+ years of professional software engineering experience Experience with the Java/Spring ecosystem Expertise in RESTful web APIs, especially those targeting external clients Strong software design skills Familiarity with relational database fundamentals (we mostly use PostgreSQL) Strong problem-solving skills, capable of balancing multiple use cases while enabling flexibility Kno

Req ID: CSQ327R200 Location: Tokyo, Japan At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment. The impact you will have: You will ensure new customers have an excellent experience by providing technical assistance early in their journey You will become an expert on the Databricks Platform and guide customers in making the best technical decisions You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience 2+ years experience in a technical role, preferably in the data or cloud field Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required. Knowledge of a programming language - Python, Scala, or SQL Knowledge of end-to-end data analytics workflow Hands-on professional or academic experience in one or more of the following: Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow) Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake) Excellent time management and prioritization skills Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models) Excellent written and verbal communication in Japanese and English Excellent time management and prioritization skills Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices ar

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. Company Description Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers. Position Description We are seeking an experienced Senior Software Engineer to play a key role in building and scaling the Okta Recovery Vault (ORV) . This team is responsible for Okta's enterprise-grade soft-delete and object recovery capability, designed to protect critical identity objects (Users and Groups) from accidental or malicious deletion. As a Senior Engineer, you will own the technical design, implementation, and operational reliability of critical components within our real-time, high-fidelity recovery system. You will solve complex engineering problems around identity preservation (UUIDs) and relationship restoration—including group memberships, app assignments, and password hashes—ensuring our customers can seamlessly recover from data loss events. Job Duties and Responsibilities Feature Execution: Drive the technical design and end-to-end implementation of complex features, such a

About Truveta Truveta is the world’s first health provider-led data platform, with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving this vision requires a talented and diverse team with expertise across healthcare, software engineering, cloud infrastructure, data platforms, and artificial intelligence. We are looking for people who are motivated by purposeful work and committed to building technology that can improve healthcare outcomes. This position is based in Hyderabad, India . Who We Need Truveta is expanding its engineering presence in India to solve complex healthcare and technology challenges at global scale. We are seeking a collaborative and experienced engineering leader who can operate effectively across ambiguity, scale, and evolving requirements. The ideal candidate combines strong software and infrastructure fundamentals with the ability to build high-performing teams, influence technical direction, and deliver reliable platforms. You should be comfortable balancing hands-on technical leadership with people management and working with distributed teams across India and the United States. If you are motivated by purposeful work, enjoy building teams and platforms from the ground up, and want to shape how data, AI, and engineering systems are powered internally, Truveta may be the right fit for you. This Opportunity We are seeking a Director Of Engineering (POD Lead) to lead the Platform Services team in India. The Platform Services team will build, manage, and operate the infrastructure that supports engineering teams across India and globally. The team will also own critical backend and platform services, including authentication, authorization, customer and consumer identity and access management, CI/CD, Kubernetes and cloud

Req #: P-1372 Location: Tokyo, Japan As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data + AI Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the AVP, FDE. The impact you will have: Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem Engage with the partner technical community by leading workshops, seminars, and meet-ups You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network Show expertise by producing creative technical solutions and blog post What we look for: 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science Experience demonstrating technical concepts, including presenting and whiteboarding Experience designing and implementing architectures within public clouds (AWS, Azure or GCP) Coding experience in SQL / Python / Scala / Java&n

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. SMAI Story Micron Technology’s vision is to transform how the world uses information to enrich life, and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community. Do you believe that data provides groundbreaking insight? Do you see data as an asset that builds a competitive advantage? Great…so do we! Micron Technology operates in a highly competitive industry where innovation depends on hardworking minds extracting fresh insights from an ever-expanding data universe. We are seeking a technically strong Solution Architect who can design and build innovative, rock-solid data science, AI/ML, and Agentic AI solutions for Smart Manufacturing use cases. We have a diverse, collaborative environment where problem solving is a team sport and creative solutions are recognized and rewarded. Does this sound like the right team for you? Apply today! Solution Architects in this role partner with Data Scientists, AI Engineers, and AI Product Owners to architect scalable and innovative data science solutions in technology domains such as Artificial Intelligence (AI), Machine Learning (ML), Gen AI, Big Data, and Internet of Things (IoT) using both on prem and cloud-based platforms. In this role, you will need to be technically sound and capable of crafting in

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. Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices Create and maintain technical documentation to support knowledge sharing and long-term system sustainability Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value Responsibilities include, but not limited to: <span

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient. What You’ll Do Lead the design and implementation of Harvey's Model Infrastructure platform. Build systems to ensure high availability, low latency, and operational excellence for AI inference. Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost. Develop systems