Machine Learning Intern Co Op Jobs

About Us Infinitum has raised the bar for a new generation of motor that is better for the planet and people. The company’s patented air core motors offer superior performance in half the weight and size, at a fraction of the carbon footprint of traditional motors, making them pound for pound the most efficient in the world. Infinitum motors open up sustainable design possibilities for the machines we rely on to be smaller, lighter and quieter, improving our quality of life while also saving energy and reducing waste. Based in Austin, Texas, Infinitum is led by a team of industry experts and pioneers. To learn more, visit goinfinitum.com . Position: Principal Engineer, PCB Technology Location: Austin, TX (HQ) Reports To: Chief Technology Officer Job Overview The Principal Engineer, PCB Technology reports to the CTO and is responsible for directing the development and continuous improvement of Infinitum’s PCB stators. This includes definition, system verification testing as well as the direct support to the R&D, Manufacturing and Quality teams. This individual is a key contributor to the qualification of new stator designs that are produced in-house, or from supplier partners using a wide variety of laboratory and analytical equipment. The candidate is expected to possess and/or quickly gain complete knowledge of the Characterization Lab equipment and its use. The individual is expected to add to Infinitum’s Intellectual Property portfolio by leveraging novel approaches in design or methods that result in performance improvements and/ or cost reductions. The candidate directs the activities of the Stator CAM team outputting NC and test data files for the shop floor and process routes (batch cards). Job Description · Define and develop manufacturing process for heavy copper PCBs. · Specify and engage PCB manufacturing equipment suppliers in process qualification. · Work with the Product Engineering and Advanced Manufacturing groups to transfer products to p

P-1701 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems: from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data + AI platform so our customers can use deep data insights to improve their business. Founded by engineers, we’re customer obsessed, leaping at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As an Engineering Manager on CustomerLake, you will lead the team building Profile Agents, shaping the product, architecture, and engineering foundation behind Databricks’ Customer 360 platform. CustomerLake is Databricks' new Agentic CDP, launched at Data + AI Summit 2026. This is our first move into agentic business applications, offering the data foundation of Marketing built natively into the Databricks Lakehouse. Early traction for this new product has been outstanding. Profile Agents are a key foundation of this product. Building a trustworthy Customer360 has traditionally meant multi-year integration projects and seven or eight figures in professional services just to get a usable golden record. Profile Agents generate the pipelines, matching logic, and identity resolution needed to produce a Customer 360. The product is early and still being defined, so you'll have real say over the product vision, architecture and how the team operates and scales. The impact you will have Own delivery for Profile Agents, from identity resolution and agentic pipeline generation through to production-quality Customer 360 outputs Hire and grow a small, senior team, and build the foundation it scales from as the product moves out of private preview Help set technical direction with product and the VP of Engineering, since much of what "good" looks like he

Job Overview: We are seeking a high-caliber Rust Systems Engineer to design, build, and optimize high-throughput, low-latency backend systems and infrastructure. In this role, you will go beyond web APIs—tackling low-level performance bottlenecks, complex state management, parallel compute algorithms, and concurrent data processing pipelines. If you thrive on deterministic memory management, zero-cost abstractions, and writing safe, blazingly fast concurrent systems, this role is for you. Key Responsibilities: High-Performance Architecture: Design and implement zero-cost, high-throughput, low-latency engine components and data processing pipelines in Rust. Concurrent & Thread-Safe Systems: Build thread-safe, lock-free, or fine-grained locked data structures and state machines capable of scaling across multi-core architectures without race conditions. Priority & Real-Time Threading: Design custom thread pools, task schedulers, and execution queues with priority-based task scheduling and resource allocation controls. Algorithmic Optimization: Implement complex computational logic, including high-efficiency recursive algorithms, tail-call optimizations, and dynamic cache-friendly data structures. Resource & Memory Management: Leverage Rust’s ownership model, lifetime annotations, custom allocators, and non-blocking I/O to achieve predictable low-latency profiling (minimizing allocations and cash misses). System Profiling & Benchmarking: Conduct continuous benchmarking (criterion), flame graph analysis, memory profiling (Val grind/heap track), and CPU SIMD/vectorization optimizations. Key Skills: Core Rust & Functional Programming: Advanced Rust Mastery: Deep experience with Rust internals (stdsync, stdcell, custom Drop, unsafe Rust boundaries, and macro systems). Closures & Higher-Order Functions: Mastery of Rust’s functional traits (Fn, FnMut, FnOnce), capturing environments, move semantics within closures, and passing unboxed closures for zero

MKTQ327R30 Databricks is hiring an experienced web leader to grow and scale the function globally, as the company continues its hyper-growth and leadership in the Data and AI space. You will be an essential member of the marketing leadership team, drawing on all of our internal resources to bring our marketing strategy to our digital audiences — and increasingly to a new kind of audience: the AI agents and assistants that now read, interpret, and act on the web on behalf of the people we're trying to reach. You will ultimately be measured on your ability to develop a cohesive portfolio of web properties built for scale, personalization, and this next era of how people and machines discover and evaluate companies. Reporting to the VP of Marketing, you will build and oversee a product team focused on executing and iterating on marketing priorities. The ideal candidate has held a senior digital leadership role in a high-performing marketing organization at a company experiencing rapid growth. You have operated at scale in a global environment while maintaining a solution-oriented mindset and approach. You have excellent fundamentals, strong presence, and the ability to build a strong team. Just as important, you have a point of view on where the web is going, and know how to build for AI-driven search, answer engines, and autonomous agents. The impact you will have: Transform Databricks' web properties into outstanding destinations using a modern development approach and current technologies, built to serve both human visitors and the AI agents and assistants that now consume and act on web content. Put AI to work inside the function, using it to automate and accelerate web production, QA, localization, testing, and routine optimization so the team spends its time on strategy and craft rather than repetitive execution. Establish a strategy for how Databricks evolves and scales its web presence with the business across segments, products, industries, partners, and

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. As part of APTD SG Technology Development Process Integrator, you will be responsible for developing advanced packaging process solution and ensure New Process, New Equipment, New Material and Path finding activities success for all adv pkg products in Micron. To lead new Technode process readiness and improving the yield, quality and reliability with process characterization and optimization and new materials, machines & technologies introduction. You will need to have understanding of Frontend Process, packaging requirements, chip package interaction, equipment understanding and process technology in the industry. The ability to enable best technology for New Technode with packaging requirements. You will also be required to drive & collaborate with cross functional teams to resolve process related problems. Ensure smooth transition from new process development, 1st qualification success to small volume production launch Development and Qualification of new packaging process, material, equipment and technology solutions to meet new Technode requirements and schedule Perform CPI NUDD, process TRA, risk mitigation execution and process recipe readiness prior Silicon arrives and ensure 1st pass rate. Qualify new process/technology/equipment/materials Technical capability Identify path finding opportunities for Micron's technology leadership with BIC time to market, continuou

GAQ327R224 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform. In this role, you will act as a premier thought leader redefining the Software Development Life Cycle (SDLC) through the lens of artificial intelligence. You will partner directly with our CIO, Corporate Engineering VPs, R&D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from initial concept to f

P-1584 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimised database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding leaders building out both the Lakebase product and our London presence. This is a Tech Lead Manager role: a hands-on technical leader who guides a small team of around five engineers while staying deep in the engineering work. You'll spend the majority of your time hands-on — driving architecture and design, solving the hardest problems in your team's projects, aligning with partner teams on dependencies, and writing code — and the rest leading and growing the engineers around you, who will report directly to you. It's role for a strong senior engineer who wants to lead a team and take on people management without stepping away from the technical work. The team you will lead (one of): Lakebase Platform Reliability (LPR) — Constantly evolve Lakebase reliability: cross-functional infrastructure, observability, SLI/SLO definition and measurement, and higher operational efficiency without humans-in-the-loop, for both internal and customer-facing systems, by building AI-powered automation and serv

P-1930 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI team, you'll build the platforms and products that power everything from data apps, AI agents, model training, model serving, and Vector Search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We're building the products and infrastructure that power the next generation of AI. The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale. Check out our recent blog post: Reliable LLM Inference at Scale The impact you will have: Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and sel

CSQ327R219 PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Nitec/Diploma in Engineering OR equivalent working experience Experience in semiconductor manufacturing will be an added advantage. Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Office Comfortable with doing 12-hr shift (including night shift). Ability to apply baseline digital fluency a

RDQ427R535 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering. Impact you will have Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance. Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health. Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day. Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business. Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and g

RDQ427R534 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're looking for a Partner Engineer to lead the technical relationship between Databricks and our strategic AI partnerships - including Anthropic, OpenAI and Google Gemini. You'll own the joint roadmap with their product teams, drive the development of integrations that connect and extend both platforms, and get hands-on with new product features and tooling. You'll collaborate with partners to build POCs that become new products, demos, and hands-on labs - and ultimately the architectures our customers deploy. With direct visibility and engagement with our founders and executives, this high impact role sits in Partner Engineering and works closely with Product, Engineering, Strategic Partnerships and Global GTM teams. Impact you will have Serve as the primary technical point of contact across the AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation. Work alongside our technical executives to shape the joint product roadmap by translating partner capabilities and integration needs into Databricks platform requirements Navigate complex relationships in order to align on joint product offerings that address the needs of Databricks, our partner organizations, and our customers. Design and build the integrations that connect and extend both platforms, serv

P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the key engineers building out the Lakebase product. As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team's engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes. The impact you will have: Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts. Drive architecture and design, and write code on the hardest parts of your team's projects. Set and uphold high technical standards through a

About the OKX Card Team The OKX Card Team builds the payment infrastructure connecting digital assets to global commerce. Partnering with major card networks like Visa and Mastercard, we power the OKX crypto card platform. Our team handles the full card lifecycle and payment stack—from instant issuance and real-time transaction authorization (Auth) to settlement, ledger management, and card growth engines. We also actively embrace AI-assisted development to build fast, scale cleanly, and maximize engineering velocity. Key Responsibilities - Core Card Services: Develop and maintain reliable backend microservices in Java for card issuing, authorization pipelines, and settlement clearing. - Workflow Orchestration: Utilize Temporal to manage complex, multi-step transaction lifecycles and resilient distributed state machines. - Data & Ledgers: Design and optimize SQL schemas and queries to ensure exactness and speed across high-concurrency transaction ledgers. - AI-Enhanced Velocity: Integrate modern AI development tools into your daily workflow to speed up coding, unit testing, and problem-solving. - Growth & Features: Deliver features for promotional campaigns, rewards, and card lifecycle management to support user growth. Qualifications - Technical Core: 1–3 years of backend engineering experience proficient in Java (Spring Boot) and relational databases via SQL. - Workflow Management: Direct experience or solid understanding of distributed workflow tools like Temporal (or Cadence). - Card & Fintech Domain: Strong background in Fintech with a solid grasp of card transaction mechanics (Visa/Mastercard networks, Auth, clearing, and issuing workflows). - AI Tooling Mindset: Proactive in using AI development tools (e.g., Copilot, AI assistants) to boost output and maintain high code quality. - Soft Skills: Highly self-driven, quick learner, and excited to build secure financial products. Nice to Have - Experience working directly with Card Issuing processors o

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're looking for a Product Design Engineer with deep simulation and structural analysis expertise to help us build hardware that holds up to the demands of daily life. You'll be the analytical backbone of Hark's mechanical engineering team — using FEA and coupled simulation methods to validate design decisions, predict failure modes, and drive structural, thermal, and dynamic performance from the earliest stages of development through production release. This is a hands-on role where simulation directly shapes design: you'll work closely with product design engineers, industrial designers, and reliability teams to ensure that what we build is not just beautiful, but durable, precise, and manufacturable at scale. Responsibilities Lead structural, thermal, and dynamic finite element analysis (FEA) across Hark's hardware portfolio — enclosures, mechanical assemblies, flex systems, and interconnects — from concept through design validation Develop simulation models and methodologies that accurately predict real-world performance under drop, vibration, fatigue, thermal cycling, and mechanical load conditions Translate FEA findings into actionable design recommendations, collaborating directly with product design engineers to iterate geometry,