16d ago
USD 150000-250000/yr

FDE / AI Engineer

United StatesUnited States·San Franciscomid
Machine Learning EngineerData
1 views0 saves0 applied

Quick Summary

Key Responsibilities

Capture Layer Development: Design and scale high-throughput, high-concurrency systems to collect desktop and system events across client operations.

Requirements Summary

Deep proficiency with TypeScript, Rust, Tauri, PostgreSQL, Next.js, and Azure.

Technical Tools
Machine Learning EngineerData

Responsibilities

~1 min read
  • →Capture Layer Development: Design and scale high-throughput, high-concurrency systems to collect desktop and system events across client operations.
  • →Privacy & Compliance Infrastructure: Architect automated redaction and anonymization mechanisms embedded directly into the core data ingestion pipeline.
  • →Data Structuring & Knowledge Graphs: Build ingestion and retrieval mechanisms across unstructured documents to model complex enterprise workflows into structured knowledge graphs.
  • →Autonomous Coding Agents: Engineer AI agents capable of generating, testing, and deploying custom production software directly from workflow models.
  • →Production Deployment: Integrate generated applications into client environments and maintain high reliability in production.
  • →Client Execution (First 30 Days): Personally execute the software factory process end-to-end for an active client—mapping workflows from desktop telemetry, shipping automated solutions via coding agents, and abstracting those manual steps into autonomous agent workflows for future deployments.

Requirements

~1 min read
  • Technical Stack Expertise: Deep proficiency with TypeScript, Rust, Tauri, PostgreSQL, Next.js, and Azure.
  • End-to-End Ownership: Proven ability to drive projects from initial client discovery through to robust production deployment.
  • High-Intensity Drive: Willingness to work in a high-velocity, high-commitment environment ("996" schedule) with intense focus and discipline.
  • Product Mindset: Strong instinct for user experience and enterprise workflow optimization.
  • Culture & Communication: Direct, transparent communication style and a collaborative spirit suited for an early-stage founding team environment.
  • Location: Must be based in or willing to relocate to San Francisco, CA for full-time, in-person collaboration.
  • Work Authorization: Must be a US Citizen or permanent resident (visa sponsorship is not available for this role).

What We Offer

~1 min read
✓Founding Equity: Significant equity stake (0.50% - 1.50%) offering meaningful ownership in an early-stage company.
✓Competitive Salary: Base compensation ranging from $150,000 to $250,000.
✓AI Resources: Unlimited token usage on state-of-the-art coding agents and development models.
✓Strategic Impact: Direct influence over product roadmap, architectural design, and company culture from day one.
✓Immersive Environment: Full immersion in San Francisco alongside a highly dedicated team of builders.

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office

About this job

Pay per year
$150,000–$250,000 a year
5% below the $210,000 median for Machine Learning Engineer jobs on Jobera (862 salaries).
Posted
16 days ago
Employer
has 19 open jobs on Jobera in 9 countries.

Listing Details

Posted
September 30, 2026
First seen
September 30, 2026
Last seen
October 15, 2026

Posting Health

Days active
15
Repost count
0
Trust Level
39%
Scored at
October 16, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

MLabs is a Haskell and Rust consultancy specializing in mission-critical software development, AI, Fintech, and cross-team collaboration, with a global team dedicated to providing innovative and robust solutions.

Employees
51-200
View company profile
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FDE / AI EngineerUSD 150000-250000