California: eligible, according to the employer's posting.
Who can apply: Only open to applicants in: California, Massachusetts, New York, Washington.
Location as listed by the employer: “Boston, MA; Brooklyn, NY; San Francisco, CA; Washington, D.C.; London, England; Remote - International”
Apply on Altana 's site ↗
Opens the employer's official application page.
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About this role
Altana is hiring for a Staff Machine Learning Engineer role. See the official posting for full details.
Requirements
- BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience
- 8+ years building and shipping ML systems in production, with a proven track record of delivering product-oriented ML solutions, including recent work on LLM-powered products
- Deep expertise in PyTorch and the modern Python ML stack (Hugging Face, scikit-learn, NumPy, Pandas/Polars)
- Hands-on experience building production LLM applications: retrieval-augmented generation (RAG), tool/function calling, structured outputs, and agentic workflows
- You've shipped agentic systems in production and know their failure modes: tool use, planning, state, recovery and human-in-the-loop
- Experience post-training or adapting LLMs (SFT, DPO, RLHF/RLAIF, reward modeling) for a production use case
- Rigorous about evaluation: you've built eval suites, golden datasets and LLM-as-judge pipelines
- Sound judgment on when to use a frontier model API, a fine-tuned open-weight model, or a classical ML model, balancing cost, latency, and accuracy
Summarized from the employer's posting — check the full posting for every requirement.
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