AI2

1 month ago

Senior Research Engineer, Olmo + Molmo

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Last checked: 12 hours agoStatus: Live

Job Summary

Lead end-to-end ML infrastructure and open-model research efforts, designing and deploying training and inference pipelines for large-scale multimodal models. Collaborate across research and engineering to push the boundaries of open AI, bridging cutting-edge research into production-grade systems in a Seattle-based, mission-driven institute.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Manager level

Key Responsibilities

•Build and optimize infrastructure for LLM, multimodal, and agentic research, including training/inference pipelines, dataset curation, and large-scale preprocessing.
•Design, train, and evaluate multimodal models (vision + language) and agentic workflows, including tool use, planning, and long-horizon tasks.
•Scope and lead research projects, prioritizing experiments for highest impact.
•Apply strong software engineering practices to research and bridge cutting-edge work to production-quality products.
•Contribute to and support the open-source community through model releases, datasets, public APIs, and technical reports.

Pay and Benefits

Salary: USD 146,880 - 220,320 annually

Perks:Health InsuranceDentalVision401kAnnual BonusPaid Leave

Key Requirements

•4+ years of ML infrastructure experience with data preprocessing, model training, evaluation, inference, and deployment
•End-to-end model development experience including dataset construction, training, fine-tuning, evaluation, profiling, and monitoring
•Familiarity with modern model architectures—LLMs (MoEs, long-context) and vision-language models (Molmo, LLaVA)—and experience training/evaluating both
•Agentic systems knowledge — tools, memory, and long-running workflows
•Strong software engineering fundamentals for performant, scalable systems and debugging, plus proficiency in Python and a major ML framework (PyTorch, JAX, or TensorFlow) and cloud/containerization (GCP, AWS, Docker)

Experience:4+ yearsArtificial intelligenceMachine learningResearch

Education:Bachelor's

Skills:CommunicationCollaboration

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlowGCPAWSDocker

Company Brief

AI2

The Allen Institute for AI (AI2) is a nonprofit research institute that builds AI systems and conducts fundamental research to contribute to scientific discovery, natural language understanding, and open-source tools for the AI community.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Nonprofit & NGO

Funding: Grant Funded

Headquarters: Seattle, United States

Founded: 2014

Website LinkedIn

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AI2