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HomeCompaniesFinch LegalMachine Learning Engineer

Machine Learning Engineer

Finch Legal · New York City · On Site · Active · Ashby

Job facts

FieldValue
CompanyFinch Legal
TitleMachine Learning Engineer
Normalized title-
Department / teamProduct / Product, Engineering
LocationNew York City, NY, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Finch Legal.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Product.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFinch Legal
Source41c6f253-bb82-4d8e-9c46-22e75fe0843e
ATS providerAshby

Description

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 Machine Learning Engineer 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 engineers 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. Interview: An interview that typically involves a case assignment of sorts. 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.

Full job record

Job ID0144fadf7df003831812aabf34b62366b334dc57
Org ID3bc1abec-c2b1-41e1-8469-a7f6cd693d64
Source ID41c6f253-bb82-4d8e-9c46-22e75fe0843e
Board ID41c6f253-bb82-4d8e-9c46-22e75fe0843e
Providerashby
Provider Job Key102f64ba-a1f2-4c0a-a575-a611798ec59f
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York City
DepartmentProduct
TeamProduct, Engineering
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/finch-legal/102f64ba-a1f2-4c0a-a575-a611798ec59f
Apply URLhttps://jobs.ashbyhq.com/finch-legal/102f64ba-a1f2-4c0a-a575-a611798ec59f/application
First Seen At2026-05-29 05:42:41Z
Last Seen At2026-06-06 20:03:05Z
Last Checked At2026-06-06 20:03:05Z
Last Changed At2026-05-29 05:42:41Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=finch-legal/date=2026-06-06/2026-06-06T20-03-01-992Z-dcab741e1fd18156e97eb70b4f9709b2c67fb7ae2e56ac78e0ae57c8b856fd0b.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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  "apiVersion": "ashby-non-user-graphql-v1",
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  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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