Member of Technical Staff, Machine Learning

Finch

Machine Learning Engineer building AI solutions for legal processes at Finch. Owning full lifecycle of AI systems from prototype to production.

Posted 7/13/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $180,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying production ML systems, with strong capabilities in Python, LLMs, and evaluation design. Proven ability to collaborate across teams and track emerging technologies to enhance AI solutions.

Highest-signal resume keywords

Production ML Systems DevelopmentPython ProgrammingLLM ExperienceNLP and OCR FrameworksModel Evaluation Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning LifecycleModel SelectionFine-TuningPrompt DesignDeploymentMonitoringObservable AI SystemsLangChainOpenAI APIs

Soft Skills

CollaborationProblem Solving

Industry Keywords

Legal TechDocument-Heavy WorkflowsRegulated Industries

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build voice agents, browser agents, OCR pipelines, and LLM-powered workflows that work reliably in production.
Design rigorous evaluation frameworks and feedback loops to systematically improve model accuracy and reliability.
Own the full ML lifecycle — model selection, fine-tuning, prompt design, deployment, and monitoring.
Collaborate directly with product, ops, and legal experts to make sure the AI is solving the right problems.
Track emerging research and tools, and make deliberate calls about when to bring them into our stack.

Requirements

What you’ll need

3+ years building and deploying production ML systems.
Strong Python skills and experience working across the ML stack end-to-end.
Hands-on experience with LLMs, prompt engineering, and evaluation design.
A track record of shipping observable, maintainable AI systems — not just prototypes.
Experience with NLP, OCR, speech, or agent frameworks (LangChain, OpenAI APIs, etc.).
Prior work at an early-stage startup where you helped define ML infrastructure from scratch.
Familiarity with legal tech, document-heavy workflows, or regulated industries.

Benefits

Comp & perks

100% coverage for health, dental, and vision.
401(k) retirement plan.
In-office snacks, drinks, and daily team lunches and dinners.
Flexible PTO (we trust you to take the time you need).