Member of Technical Staff, Applied ML

About the Role

Join an applied machine learning team building production AI agents for accounting and financial workflows. You will own projects end to end, from defining success and running experiments to shipping reliable systems that help agents reason, plan, and evaluate their work.

What You'll Do

• Design and improve multi-agent architectures that automate real-world workflows, with clear autonomy boundaries, tool use, and fallback behaviors.

• Build agent loops and context and memory systems that support coherent, measurable task execution.

• Route, evaluate, and optimize models for latency, cost, and accuracy.

• Create automated offline and online evaluation pipelines, define metrics and benchmark tasks, and use results to guide product and architecture decisions.

• Instrument systems to detect regressions, categorize errors, and support continuous improvement.

• Develop prompt and retrieval systems, document parsing pipelines, and validation layers for safe, reliable behavior.

• Scope projects, write concise technical plans, build and test systems end to end, and share progress and learnings with teammates.

What We're Looking For

• Four to twelve years of machine learning engineering experience, including applied ML work in industry.

• Strong Python skills and deep familiarity with LLM and transformer-based systems.

• Experience delivering end-to-end LLM agent applications, including model orchestration, benchmarking, and evaluation of agent behavior and reliability.

• Experience framing structured ML experiments, building evaluation infrastructure, and iterating based on measurable results.

• Background in a fast-paced startup, quantitative finance, or a high-caliber technology environment, with experience building ML products and underlying models.

• Strong technical fundamentals in computer science, physics, mathematics, or a related field, plus clear communication and an ability to explain complex ideas simply.

• Interest in applying AI to accounting, finance, and related workflows.

Compensation & Benefits

Base salary range: $175,000 to $350,000 annually. Visa sponsorship is available.

Location

On-site in New York, NY.