Senior Staff Machine Learning Engineer

About the job

Responsibilities

• Define the technical direction, architecture, and roadmap for agentic systems processing trade data for real-time risk, classification, and compliance decisions.
• Design and lead the development of reliable, cost-efficient systems for data ingestion, document understanding, entity resolution, inference, and model routing at a global scale.
• Fine-tune and post-train models (SFT, DPO, RL) using analyst feedback and production outcomes to improve performance over prompting-based methods.
• Build the observability and feedback stack, including evaluation suites, tracing, and feedback loops to ensure production quality and catch regressions.
• Provide senior technical leadership, mentor engineers, and elevate the technical standards across the Engineering department.
• Collaborate with cross-functional teams (software engineers, data scientists, product managers) to generate business ideas and translate ambiguous problems into shipped product features.

Requirements

• BS/MS in Computer Science, Machine Learning, or related field, or equivalent experience.
• 10+ years of experience building and shipping ML systems in production, with a focus on product-oriented ML solutions and recent LLM-powered product work.
• Deep expertise in PyTorch and the modern Python ML stack (Hugging Face, scikit-learn, NumPy, Pandas/Polars).
• Hands-on experience building production LLM applications, including RAG, tool/function calling, structured outputs, and agentic workflows.
• Proven experience shipping agentic systems in production, understanding their failure modes (tool use, planning, state, recovery, human-in-the-loop).
• Experience with post-training or adapting LLMs (SFT, DPO, RLHF/RLAIF, reward modeling) for production use cases.
• Proficiency in building evaluation suites, golden datasets, and LLM-as-judge pipelines.
• Sound judgment in selecting appropriate models (frontier API, fine-tuned open-weight, classical ML) based on cost, latency, and accuracy.
• Demonstrated senior staff-level technical leadership, including setting architecture direction, mentoring engineers, and developing roadmaps from ambiguous problems.
• Passion for applying SOTA techniques to real-world problems and a willingness to engage deeply with data and domain specifics.
• Commitment to engineering excellence, supportability, and knowledge-sharing.
• Strong written and verbal communication skills.
• Experience using AI coding tools (e.g., Cursor, Claude Code) in daily workflow.

Benefits

• Competitive equity grants
• Discretionary bonus or variable compensation plan
• Flexible Time Off (FTO) policy
• Industry-leading Paid Parental Leave (PPL): 14 weeks for non-birthing/adoptive/foster parents, up to 26 weeks for birthing parents, all paid at 100% of base salary.
• Full suite of medical, vision, and dental benefits with generous employer contributions.
• High deductible health plan 100% employer paid for employees.
• Employer contribution to Health Savings Account (HSA).