Altana AI
Staff Machine Learning Engineer
$205K–$240K
Boston, MA +9 · Remote · Staff · Full-time · Posted Oct 14, 2026
- Location
- Boston, MA
Brooklyn, NY
San Francisco, CA
Washington, D.C.
Boston, MA
Brooklyn, NY
London, England
Remote - International
San Francisco, CA
Washington, D.C. - Experience
- 8+ years building and shipping production ML systems, including recent work on LLM-powered products.
- Education
- BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience.
About the job
Lead the design and delivery of production machine-learning models and agentic systems that analyze global trade data and support real-time risk, classification, compliance, and enforcement decisions.
What you'll do
- Set technical direction for agentic systems and build reliable pipelines from trade-data ingestion through inference and decision routing.
- Adapt and post-train models, and build evaluation, tracing, and feedback systems to improve production performance.
- Mentor senior engineers and collaborate across teams and with customers to shape and ship product capabilities.
What they ask for
- BS/MS in Computer Science, Machine Learning, or a related field, or equivalent experience.
- Deep expertise in PyTorch and the modern Python ML stack.
- Production experience with LLM applications, agentic systems, model adaptation or post-training, and rigorous evaluation.
- Daily use of AI coding tools; strong communication skills and engineering judgment.
Nice to have
- Experience with multi-agent systems, hybrid retrieval, vision-language models, multilingual NLP, or LLMOps.
- Experience with AI safety, guardrails, or auditability in regulated or high-stakes domains.
Pay
$205,000 - $240,000 USD (annual base salary)
Tools
PyTorch, Hugging Face, Python, Spark, Docker, Kubernetes, AWS, Azure
AI focus
Build agentic AI for global-trade data; adapt and post-train LLMs, develop production LLM applications, and create evaluation and feedback systems.
Model-written summary · the original posting is authoritative