Recently postedFull timeOther

Member of Technical Staff - Applied ML

RaydarNew York, New York🇺🇸United States

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeOn Site

LocationNew York, New York, United States

LLMPythonMachine Learning

Job description

About the Company

Our client is a Series B AI company, valued above $1B, whose agents do real work in a high-stakes, regulated professional domain. Founded in 2023, it has raised more than $100M, has grown from about 60 to roughly 150 employees this year and expects to keep growing quickly. The team is based in New York City.

About the Role

Own end-to-end projects that bring intelligence into production. You will be responsible for systems that help agents reason, plan and evaluate themselves, with full autonomy to plan projects, define success, run experiments and decide when a system is ready to ship. This role suits engineers who want to operate like researchers and builders at once.

What You Will Do

Design and iterate multi-agent architectures, encoding autonomy boundaries, tool use and fallback behavior that make agents safe and reliable.

Build scalable offline and online evaluation pipelines that run hundreds of experiments, with golden tasks, labeling strategies and metrics.

Instrument the stack to detect regressions, track error taxonomies and drive closed-loop improvement.

Engineer context and retrieval: prompt stacks, indexing pipelines and parsing of messy documents into structured representations.

Scope projects clearly, write concise specs and communicate progress within your pod.

What We Are Looking For

Four to twelve years as a machine learning engineer, with end-to-end LLM-based agent applications including benchmarking, orchestration and evaluations.

Experience at a fast-paced startup (Series A to D), a quant or hedge fund, or a top-tier technology company.

Experience running structured ML experiments and building evaluation infrastructure.

A CS, Physics, Math or related technical degree from a top school. The role is applied rather than research-focused.

A very clear communicator who can break complex ideas down.

Currently located in the US or Canada, ideally on the East Coast.

Bonus Points

Deep Python expertise and LLM or transformer-based systems.

Interest in the impact of AI on professional services and the economy.

Compensation and Benefits

$175,000-$350,000 base salary plus highly competitive equity, depending on experience. Visa transfers and sponsorship are available.

Location and Work Model

Full-time and on-site five days a week in Flatiron, New York City.