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Machine Learning Engineer - Auto Labelling/Perception

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Onsite

Machine Learning Engineer - Auto Labelling/Perception

Fruition Group US

Machine Learning Engineer - Auto Labelling/Perception

Skills

PythonMachine Learning

18 days ago

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Important information


Contract type:

Permanent

Salary:

$225,000 – $275,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


🚗 Auto-Labelling & Perception Engineer | Autonomous Vehicles

📍 San Francisco, CA | Hybrid – 3 Days Onsite

💰 $225,000–$275,000 Base + Equity

I'm working with a high-growth autonomous vehicles business looking for an experienced Auto-Labelling & Perception Engineer to join a small, high-impact team.

This is a genuine ownership role — you'll have significant influence over the modelling and perception roadmap and take solutions from development through to production.

What you'll work on:

  • Build and ship production-grade auto-labelling models
  • Mapping, lane and object auto-labelling
  • LiDAR and LiDAR-free approaches
  • Perception modelling, evaluation and optimisation
  • Large-scale, multi-modal data and ML pipelines
  • Full ML lifecycle: data → training → evaluation → deployment

We're looking for:

  • 5+ years' experience in ML/perception
  • Strong experience within autonomous vehicles
  • Proven hands-on experience with auto-labelling
  • Strong Python and ML engineering skills
  • Experience across mapping, lanes or object labelling
  • Someone who thrives with high ownership and autonomy

Experience with LiDAR-free labelling/mapping, camera/LiDAR/radar, edge deployment or large-scale data flywheels is highly relevant.

👥 Small team | High ownership | Significant technical impact

Interview process:

1️⃣ Director conversation

2️⃣ Technical interview

3️⃣ Onsite/virtual final stage

If you're working at the intersection of autonomous vehicles, perception and ML , I'd be keen to speak.

DM me for further details or to discuss the opportunity confidentially.

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