Member of Technical Staff, Machine Learning
Finch · New York City, New York
- Location
- New York City, New York, United States
- Workplace
- Hybrid
- Employment
- Full time
- Level
- Staff
- Posted
- 2 months ago
About this role
About Finch
We believe every American household deserves access to counsel in life’s biggest moments. At Finch, we’re building the infrastructure to make justice radically more accessible. Our modern approach to consumer law automates the admin work and puts clients first, starting with personal injury.
In just over a year, we've grown 10x, raised a $20M Series A, and become the pre-litigation partner of choice for top personal injury firms across the country. We believe the best outcomes happen when expert operators and purpose-built AI work together - which is why we handle every step of pre-lit, from intake and claim opening to medical records, lien management, and demands, with humans leading every case.
We’re backed by Sequoia, Redpoint, and the founders & CEOs of generational companies like DoorDash, Ironclad, and Digits. We’re rebuilding how the law serves everyday Americans from first principles, and we’re hiring exceptional operators to help us scale it nationwide.
This Role
Legal work is buried in unstructured documents, repetitive workflows, and data that no existing system handles well - and we're building the AI to fix it. As a Member of the Technical Staff at Finch, you'll own the full lifecycle of AI systems, from prototype to production, working on problems where a single breakthrough can meaningfully change how law firms operate.
What You'll Do
This is a hands-on applied AI role where you'll build and ship production systems - not just run experiments. The scope will grow as our product and team do.
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.
Who We Have in Mind
This role is for technical team members who care about outcomes over algorithms and are just as comfortable in production as they are in a notebook. Here's what that requires.
Must-Haves
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.
Nice-to-Haves
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.
This Role Might Not Be For You If
You prefer research or experimentation over owning systems in production.
You do your best work with a well-scoped problem and a stable, established ML platform.
You're looking for a remote-first role - this one is 4 days/week in our NYC office.
Compensation
The expected package for this role includes base salary + commission + equity.
Base salary = $180,000 - $280,000.
Benefits
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).
Interview Process
Intro: An initial call to see if there's a mutual fit.
Technical Interview: A conversation and technical exercise with a member of our team.
Onsite: A visit to our NYC office to interview, meet the team, and have lunch.
At Finch Legal, we believe in practicing what we advocate.
As a company dedicated to upholding justice and protecting people in the workplace, we are equally committed to fostering a safe, inclusive, and equitable environment within our own walls. We welcome and support individuals from all backgrounds and lived experiences - regardless of race, ethnicity, gender identity, sexual orientation, religion, disability, or veteran status.
We recognize that diversity strengthens our team, enriches our perspectives, and empowers us to better serve our clients and communities. At Finch Legal, inclusion isn’t just a value - it’s a practice.
As published by Finch. Applications are handled on their site.
Skills this posting mentions
About Finch
Pre-litigation so good it runs itself. Finch combines elite paralegal with AI agents, empowering personal injury firms to resolve cases faster, grow capacity, and serve more clients. Backed by Alfred Lin at Sequoia and world class operators including Tony Xu (CEO of Doordash), Jason Boehmig (CEO of Ironclad), Christopher Payne (Board Member for Robinhood, Faire, Him&Hers) and others. Finch is built by PI leaders from Morgan & Morgan and cutting-edge AI talent from Google, Stanford and other top tech companies. Firms are growing 40% month over month with Finch. Book your demo at https://calendly.com/finchlegal/demo.
All 23 openings at FinchOne click, then it is written
Apply to Finch with a resume written for this role.
Queue Member of Technical Staff, Machine Learning and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Finch’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Finch publishes. Refolk is not the employer and does not handle their hiring. Applications go to Finch directly.