ML Infrastructure Engineer — On-Site SF, GPU Pipelines
Objective Partners
Objective Partners in San Francisco is seeking a Machine Learning Infrastructure Engineer to architect and scale compute, training, and inference pipelines powering next-gen AI models. You will own distributed systems across large GPU clusters, collaborate with core platform teams, and drive low-latency serving with high reliability in a fast-paced startup environment. The role is full-time and on-site, with comprehensive health benefits, flexible PTO, catered lunches, and commuter reimbursement. #J-18808-Ljbffr Objective Partners
- ...is seeking a Senior Software Engineer - ML Infrastructure to own end-to-end ML vision... ...model lifecycles, from training pipelines to optimized cloud deployment. You will build scalable GPU compute clusters and robust... ...-ready systems across SF-office infrastructure, ensuring...PipelineWebsiteWork at office
- ...Title: Machine Learning Infrastructure EngineerLocation: San... ...Metro Area (100% On-Site)About the OpportunityAn... ...Learning Infrastructure Engineer to help architect the... ...and training pipelines optimized for rapid experimentation... ...across extensive GPU clusters.Build developer...PipelineWebsiteFull timeWork at officeFlexible hours
$250k - $350k
...actually work. We're hiring ML Infrastructure Engineers to tackle a hard, real-... ...what's happening on live job sites using wearable devices,... ...High-throughput video pipelines handling millions of hours... ...multimodal / LLM-based models GPU infrastructure and performance...PipelineWebsite- ...and AI to build the infrastructure that pulls society... ...found on construction sites and autonomously... ...Role: Software - ML Infrastructure Engineer Location: SF Bay Area (in-person... ...for our AI and data pipelines. You'll need to thrive... ..., I/O and GPU utilization. Build...PipelineWebsite
- ...are looking for an experienced ML engineer to join Flexion’s experienced infrastructure team and take ownership of Flexion’s GPU compute platforms. This is a senior, on-site role with significant scope.... .../inference code, building ML pipelines, etc. Proficiency in Python...PipelineWebsiteTemporary workWork at officeRelocation
$200k - $280k
Engineering San Francisco Full-time $200,000 - $280,000... ...About the Role Join our ML Infrastructure team to build the... ...maintain ML training pipelines and infrastructure Design... ...for ML systems Optimize GPU utilization and reduce... ...minimum Hybrid work with SF office access $5,000...PipelineFull timeWork at office- ...founding software engineers to help us stay afloat... ...work out of our SF based office.... ...‑founder matching site. Cat previously worked... ...build and run the infrastructure behind those... ...Experience building CI/CD pipelines and operating... ...Experience deploying GPU workloads or self‑...PipelineWebsiteWork at officeImmediate startNight shift
- ...capture, upload under flaky bandwidth, and training-ready dataset pipelines. You will design storage, formats, and tooling to support... ...storage costs to keep 1080p30 hours affordable while scaling across sites and countries, balancing performance with ROI. #J-18808-Ljbffr...PipelineWebsite
$175k - $300k
...deploys frontier compute infrastructure fastest will decide... ...forward. The Production Engineering Team Examples of... ...Build the repair pipeline that keeps pace with a... ...fleet: at our scale, a GPU failure isn’t a ticket... ...production‑ready” before a site goes live, not after....PipelineWebsiteLocal area$246k - $271k
...CLOUD DEVOPS ENGINEER You'll build the cloud infrastructure that turns the open... ...1,000 USD/year (SF) / $204,000–$212... ...Toronto Hub). On-site, five days a... ...retrieval, and ML workloads Own... ...infrastructure experience (GPU workloads, model deployment pipelines) is a plus...PipelineWebsiteFull timeTemporary workFor contractorsRemote workWork from homeVisa sponsorshipFlexible hours$250k - $350k
...AfterQuery: novel datasets and data infrastructure for frontier AI labs (85 people, $34M raised, SF). Comp: $250K-$350K base (... ...equity. Location: On-site 5 days, FiDi SF. Visa: Visa transfers... ..., HITL systems and eval pipelines Own foundational systems for...PipelineWebsiteH1b- ...We’re looking for an experienced HPC infrastructure engineer to lead bringup, administration, and operations... ...between our researchers and the bare GPU machines, helping to make sure that... ...speed of in-person teams, and prefer on-site collaboration in either our primary...WebsiteWork at officeVisa sponsorship
$170.9k - $325.2k
...candidate must have a strong background in AI/ML, with proven experience in tools like Pytorch and a solid understanding of GPU workloads. Responsibilities include... ...features and designing GPU optimized model pipelines. Adobe offers a competitive salary range of...Pipeline- ...Hosted.ai is the GPU Commerce Platform:... ...Build and work a pipeline across the Western... ...CTOs and heads of infrastructure who are deciding how... ...Partner with Sales Engineering on technical... .... Based in the SF Bay Area, with the... ...travel to customer sites and industry events...PipelineWebsiteContract workWork at office
- ...Forward Deployed Machine Learning Engineer: stand up Adaption's forward-deployed... ...' most consequential problems. On-site across San Francisco, Singapore, and... .... A 'Founding' Forward Deployed ML Engineer at a young lab hiring across SF, Singapore, and India at once — founding...Website
$175k - $230k
...building the essential infrastructure for next generation... ...passionate, hands-on engineer dedicated to building... ...test suites and CI/CD pipelines to ensure the reliability... ...in infrastructure or site reliability engineering... ...Office Perks: A vibrant SF office culture...PipelineWebsiteH1bWork at officeVisa sponsorshipFlexible hoursShift workAfternoon shift- Flexion seeks a senior ML engineer to own its GPU compute platforms on-site in San Francisco. You will design, bring up, operate and optimize distributed... ...will influence long-term compute strategy with the infrastructure and AI teams, explore multi-cloud options, and...Website
- ...ML Platform Engineer San Francisco | 5 Days Onsite Location: Onsite in San Francisco... ...+ training/fine-tuning infrastructure + benchmarking pipelines + production deployments in customer... ...workflows: pipelines, job orchestration, GPU compute, storage, CI/CD, monitoring...PipelineWork at officeImmediate startFlexible hours1 day per week
- ...Senior Software Engineer - ML Infrastructure Location Employment... ...Location Type On-site Department Compensation... ...— from training pipelines through optimized... ...You'll design scalable GPU compute clusters, build... ...team works from our SF office three days a week...PipelineWebsiteFull timeWork at office3 days per week
$180k - $270k
...Stripe is a financial infrastructure platform for businesses... ...operate production ML systems that improve how... ...with data scientists, engineers, and product partners,... ...reliable data and feature pipelines for training and... ...business meetings, on sites, meet‑ups, and events,...PipelineWebsiteTemporary workWork at officeLocal areaRemote workWork from homeRelocation$175k - $300k
...deploys frontier compute infrastructure fastest will decide... ...forward. The Production Engineering Team Examples of... ...into signal, from site-level health down to individual... ...so every new site and GPU generation lands... ...and operate the data pipelines, decoration and correlation...PipelineWebsiteLocal area- OpenAI seeks engineers to design and operate Kubernetes-based controllers that coordinate GPU compute infrastructure across sites. You will define APIs, build provisioning services, and manage lifecycle operations from boot to decommissioning, ensuring reliability and...Website
$230k - $290k
...What you’ll bring ~5+ years in applied ML, with significant time on evaluation, measurement... ..., plus experience with large-scale data pipelines and experiment tracking ~ Rigor about... ...interviews (3–4 hours, virtual or on-site). Three or four conversations with the people...PipelineWebsite$200k - $350k
...make it quicker and more capable. As their ML engineer, those models are yours: how they're... ...model, and how to gather and clean it On-site in San Francisco every weekday; happy to... ...Benchmarks, evaluation tooling or data pipelines you built for generative models...PipelineWebsiteFull timeRelocationVisa sponsorshipWeekday work- ...leader in AI cloud infrastructure serving tens of... .... One person, one GPU. If you'd like... ...company—Finance, GTM, Engineering, and People—to... ...software engineering, site reliability... ...Automate Operational Pipelines: Integrate AI agents... ...Experience and interest in ML/AI workloads and...PipelineWebsiteWork at officeLocal areaWork from homeFlexible hours
$250k - $400k
...training and systems - owning the infrastructure, pipelines, and experimentation... ...isolation. It's building the engine that research runs on. You... ...Experience building and scaling ML systems in production... ...science San Francisco (on-site or hybrid, remote considered...PipelineWebsiteRemote work- Flexion Robotics seeks a senior ML engineer to own GPU compute platforms and optimize training workflows... .... You will collaborate with AI and infrastructure teams to improve speed, utilization,... ...performance profiling. This is an on-site opportunity in San Francisco with...Website
- ...San Francisco seeks a Staff Software Engineer to design and scale backend systems... ...data, building robust data models, pipelines, and production-grade services that... ...and strong systems design craft. On-site office four days a week in SF with global impact. #J-18808-Ljbffr...PipelineWebsiteWork at office
$250k - $300k
...vertically integrated AI infrastructure company built from the... ...'s largest managed GPU fleets, and it is growing... ...as a product, fleet engineers, SREs, and product... ...system:Agents on every site and host that collect... ...intended truth, and the pipelines that keep it honest against...PipelineWebsiteTemporary work- Epsilon Health in San Francisco is seeking an ML infrastructure engineer to design core systems for scalable training of large models in medical... ...training, data loading, inference and deployment pipelines, and the RL training stack; collaborate with research and...Pipeline
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