Research Engineer – Infrastructure

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $230k - $450k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Harvey

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚖️ Legal

🏢 Enterprise

💰 $80.6G Series B on 2023-12

Artificial Intelligence • Legal • Enterprise

Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.

📋 Description

• Scale the post-training stack supporting SFT and RL on leading open-weight models • Build distributed rollout infrastructure coordinating model inference, tool execution, and training-experience collection for long-horizon tasks • Build reproducible agent environments for models to interact with documents, tools, and external systems during training and evaluation • Own performance and reliability of training runs, including GPU utilization, checkpointing, failure recovery, and observability • Identify and remove training and inference bottlenecks • Build internal tools and services for training-data management and versioning, evaluation, result browsing, and training-job and experiment tracking • Integrate models into production, including serving, latency, cost, and online evaluation • Partner with researchers to turn experimental workflows into dependable systems while enabling rapid experimentation

🎯 Requirements

• Experience building ML infrastructure, distributed systems, or research tooling, with ownership of performance, reliability, and operation • Strong Python and generalist software engineering skills across backend services, data systems, and internal tools • Familiarity with PyTorch, JAX, or similar ML frameworks • Experience with distributed training or inference, including diagnosing performance bottlenecks and failures across the stack • Understanding of post-training workflows • Practical judgment about what to build versus adopt • Ability to partner with researchers and ship quickly as needs evolve • Experience with RL rollouts, agent environments, or sandboxed tool execution is a plus • United States work authorization and visa sponsorship information required in application

🏖️ Benefits

• Equity plan • Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO • Bonus eligibility • Opportunity for personal, professional, and financial growth

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume