Senior Staff Machine Learning Engineer

What you'll do

• Set technical direction and build reliable systems spanning trade-data ingestion, document understanding, entity resolution, model inference, and routing.
• Adapt and evaluate models using production outcomes and feedback; build observability, tracing, and evaluation systems to catch regressions.
• Mentor engineers, shape ML hiring and roadmaps, and partner with product, engineering, data science, and customers to deliver capabilities.

What they ask for

• 10+ years building and shipping production ML systems, including recent work on LLM-powered products.
• Deep expertise in PyTorch and the modern Python ML stack; hands-on production LLM application and agentic-system experience.
• Experience adapting or post-training LLMs for production and building rigorous evaluation suites, golden datasets, and LLM-as-judge pipelines.
• Senior Staff-level technical leadership, including setting architecture direction across teams and mentoring engineers.

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

$250,000 - $295,000 USD (base salary)

Tools

PyTorch, Hugging Face, scikit-learn, NumPy, Pandas/Polars, Python, Spark, Kubernetes

AI focus

Builds agentic AI systems and LLM-powered products for trade-data analysis; adapts and post-trains models, develops evaluation and feedback loops, and supports real-time risk, classification, and compliance decisions.