Senior Research Engineer, Olmo + Molmo

About the role

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team.

Responsibilities

• Building and optimizing infrastructure for LLM, multimodal, and agentic research — including training/inference pipelines, dataset curation, and large-scale preprocessing
• Designing, training, and evaluating multimodal models (vision + language) and agentic workflows, including tool use, planning, and long-horizon tasks
• Scoping and leading research projects, prioritizing experiments for highest impact
• Bridging cutting-edge work to production-quality products
• Contributing to and supporting the open-source community through model releases, datasets, public APIs, and technical reports

Requirements

• 4+ years of ML infrastructure experience — data preprocessing, model training, evaluation, inference, and deployment
• Experience with end-to-end model development — dataset construction, training, fine-tuning, evaluation, profiling, and monitoring
• Familiarity with modern model architectures — including LLMs (MoEs, long-context models), vision-language models (e.g., Molmo, LLaVA), and experience training and evaluating both
• Agentic systems knowledge — tools, memory, and long-running workflows
• Strong software engineering fundamentals — performant, scalable systems and confident debugging
• Proficiency in Python and a major ML framework (PyTorch, JAX, or TensorFlow), with the flexibility to pick up new tools as needed
• Familiarity with cloud and containerization (e.g., GCP, AWS, Docker)
• Strong communication and collaboration skills — we're a small, close-knit team and work best when everyone's pulling in the same direction

Qualifications

• BS or MSc in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field (or equivalent experience)
• A minimum of 2 years of software development experience. (or equivalent experience)

Skills

• Deep learning and/or foundation models expertise
• Software engineering fundamentals
• Cloud and containerization familiarity
• Communication and collaboration skills

Benefits

• Medical, dental, vision coverage
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans
• 401k plan
• Commuting and internet expense allowance, fitness and wellbeing expense allowance
• Sick days, personal days, vacation days, paid holidays
• Annual bonuses and participation in the long-term incentive plan

Pay

The base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package.

Schedule

On-site requirements vary based on position and team.