---
title: 'Senior ML Infra Engineer at General Legal'
canonical: 'https://feeny.ai/job/senior-ml-infra-engineer-general-legal-new-york-new-york-united-states-san-ck59fk4afhg5'
type: 'job'
last_seen: '2026-09-12'
---

# Senior ML Infra Engineer at General Legal 

- **Company:** General Legal 
- **Location:** New York New York United States San Francisco California, United States
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/generallegalllp/jobs/4386234009

## Job description

The Opportunity

The legal industry is broken — lawyers bill by the hour, charge enormous sums, and take forever to respond. This means that a lot of people who need legal advice don't get it. We're using AI to solve this problem. AI takes the first pass at everything our lawyers do, so that the lawyers can focus on human interaction. We're starting with negotiating commercial contracts, and will expand quickly from there to other use cases within legal. We're reimagining what a contract can be in the AI age. We're a veteran team, with one successful exit already, who've been doing deep learning in the legal space since long before ChatGPT.

Description

General Legal is seeking a Senior ML Infra Engineer to build the systems that allow us to rapidly experiment with, evaluate, train, and deploy increasingly capable AI systems.

You'll sit at the intersection of research and production engineering. Your job will be to make our researchers and engineers dramatically more effective: building reliable infrastructure for model experimentation, evaluation, inference, data generation, training, and observability while ensuring that promising ideas can move quickly from an experiment into production.

This is a unique opportunity to join us at the ground level and define the AI infrastructure behind a platform that will set new standards for the legal industry. You'll have substantial autonomy over architecture and tooling and will help determine how our ML stack evolves as we scale.

## Responsibilities

- Build and own infrastructure for training, evaluating, and serving AI models
- Develop systems for running large-scale experiments and evaluations quickly and reproducibly
- Build pipelines for generating, processing, versioning, and managing training and evaluation data
- Improve the reliability, latency, throughput, and cost efficiency of model inference
- Build observability and monitoring for AI systems in production
- Develop infrastructure for agentic workloads, including long-running and asynchronous model execution
- Work closely with research scientists and product engineers to turn new AI capabilities into reliable production systems
- Evaluate and integrate new models, inference systems, training frameworks, and infrastructure as the field evolves
- Be proactive and come up with ideas on how to build our AI systems better

## Requirements

- 5+ years of software engineering, machine learning engineering, or infrastructure experience
- Strong software engineering fundamentals and proficiency in Python
- Experience building production infrastructure for machine learning systems
- Experience with cloud infrastructure, distributed systems, and containerized workloads
- Ability to independently design, build, and operate complex technical systems
- Computer Science degree or equivalent experience
- Eligible to work in the US, and able to work in-office a minimum of 3 days a week in our SF or NY office locations.

Nice-to-Haves

- Experience training, fine-tuning, or serving large language models
- Experience with GPU infrastructure and distributed training or inference
- Experience with reinforcement learning, post-training, or large-scale evaluation systems
- Experience building infrastructure for AI agents or long-running model workloads
- Experience optimizing inference latency and cost at scale
- Experience at an early-stage startup

## Compensation & Benefits

$200,000 - $275,000 base, calibrated to experience and location

Health, dental, vision; unlimited PTO; wellness stipend & more…

## About General Legal 

## Company Overview
- **One-liner**: General Legal is an AI-native law firm that delivers high-quality commercial contract work and other legal services for growth-stage startups at flat fees with turnaround times measured in hours.
- **Entity Type**: Private (Startup, Y Combinator Winter 2026 batch)
- **Headquarters**: San Francisco, CA, US / New York, NY, US (dual presence)
- **Founded**: 2026
- **Founders**: Ryan Walker (CEO & Co-Founder), Javed Qadrud-Din (CTO & Co-Founder), J.P. Mohler (CPO & Co-Founder)

## Core Business
- **Primary industry**: Legal Services (AI-native law firm)
- **Target customers**: Growth-stage startups (venture-backed or angel-funded operating companies); B2B
- **Mission or purpose statement**: “We’re building the AI-native law firm, pairing top-tier attorneys with technology that makes legal work faster, clearer, and more affordable.” [general.legal](https://general.legal/about)

## Products & Services
- **Simple Contract Review** ($250 flat): Light-touch review of low-risk agreements (NDAs, small vendor contracts). Redlined, explained, ready to sign.
- **Standard Contract Review** ($500 flat): Deeper review and negotiation guidance for MSAs, SaaS subscriptions, and key customer/supplier agreements.
- **Full Negotiation** ($1,000 flat): End-to-end negotiation with limitless turns, calls with the other side, and final sign-ready document.
- **Drafting** ($2,000 flat): Draft a new agreement from scratch, built around the client’s business and terms.
- **Employment**: Offer letters, contractor agreements, employment policies.
- **Incorporation**: Formation, founder docs, cap-table basics.
- **Fundraising**: SAFEs, side letters, financing documents.
- All services include a 30-minute call with the assigned attorney. No retainer, no minimums, cancel anytime. [get.general.legal](https://get.general.legal/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (early-stage startup)
- **Key Metric**: Total Funding – Not disclosed (YC-backed, Winter 2026). Annual Revenue – Not publicly available.
- **Notable Investors/Partners**: Y Combinator (Winter 2026 batch). Primary Partner: Ankit Gupta.
- **Growth Signals**: 
  - Team size: 25 (as of YC profile)
  - Over 250 growth-stage companies represented since private preview
  - 95% client satisfaction
  - Median contract turnaround in hours (not weeks)
  - Hiring across multiple roles (engineering, legal, product marketing, executive assistant)
  - Offering free first contract review for any company until Demo Day

## Competitive Advantages
- **AI-native workflows**: Proprietary AI tools integrated into attorney workflows, enabling 10× efficiency vs. traditional firms. Automates routine tasks so attorneys focus on substantive risk and tailored advice.
- **Speed**: Guaranteed contract turns within 3 hours; typical turnarounds in 1 hour.
- **Pricing transparency**: Flat, all-inclusive fees with no hourly billing or surprise invoices.
- **Founding team pedigree**: Built AI products for lawyers at Casetext (YC S13, acquired by Thomson Reuters). Top-tier legal backgrounds (Harvard Law, Fenwick & West, Cooley).

## Strategic Focus
- **Current priorities**: Scaling the AI-native law firm model to serve more growth-stage startups; expanding service lines (commercial, employment, incorporation, fundraising); building out engineering and product teams to deepen AI capabilities.
- **Direction for growth**: Become the default outside counsel for high-growth companies by combining elite attorneys with proprietary AI workflows, delivering faster and more affordable legal services than traditional BigLaw.

## Why Work Here
- **Culture**: “A new kind of law firm” where technology and law intersect. Attorneys use cutting-edge AI tools; engineers build the platform that powers the firm. Emphasis on ownership, practical advice, and fast turnaround.
- **Remote/Hybrid/Office**: Some roles explicitly remote (e.g., Triage Paralegal). Software Engineer roles listed for San Francisco, CA and New York, NY (likely hybrid/on-site). Executive Assistant posted for “United States” suggesting remote flexibility.
- **Notable perks**: 
  - Flat-fee pricing model eliminates billable hour pressure for attorneys.
  - Engineers work alongside experienced attorneys and legal tech veterans.
  - For Full Stack Software Engineer: salary $160K–$190K, open to new grads.
  - Founders are former Casetext leaders (CTO and AI lead) and ex-BigLaw attorneys – strong mentorship environment.
  - Y Combinator backing provides startup energy and resources.

## Sources
1. [general.legal/about](https://general.legal/about)
2. [general.legal/careers](https://general.legal/careers)
3. [ycombinator.com/companies/general-legal](https://www.ycombinator.com/companies/general-legal)
4. [get.general.legal](https://get.general.legal/)
5. [job-boards.greenhouse.io/generallegalllp](https://job-boards.greenhouse.io/generallegalllp/jobs/4229559009)

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