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Machine Learning Engineer - Autonomous Fleet Analytics — Tesla
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Machine Learning · Verified Opening #16

Machine Learning Engineer - Autonomous Fleet Analytics

business Tesla location_on Palo Alto, CA (On-site) On Site Full Time

Compensation

$165K – 240K/yr

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Published Date

3 weeks ago

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Work Arrangement

On Site • Palo Alto, CA

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Open Positions

2 openings

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Experience Level

Senior

overview Role Overview

About the opportunity

Mine petabytes of customer fleet video data and train self-supervised representation networks for neural driving planners.

Join Tesla's Autopilot and Full Self-Driving (FSD) neural network group. You will engineer data curation engines that automatically discover edge-case scenarios (unusual construction zones, rare pedestrian interactions) across millions of active vehicles and incorporate them into foundation driving policies.
task Core Responsibilities

What you will do

  • check_circle Build automated data labeling and video auto-regressive prediction models on Dojo supercomputers.
  • check_circle Train self-supervised representation models across temporal camera sequences.
  • check_circle Develop simulation evaluation suites verifying neural network driving trajectories against ground truth.
  • check_circle Optimize neural networks for execution on custom Tesla Full Self-Driving hardware.
verified_user Candidate Profile

What we are looking for

  • arrow_circle_right BS/MS in Computer Science, Robotics, or Electrical Engineering.
  • arrow_circle_right 4+ years training deep learning models on large multi-camera video datasets.
  • arrow_circle_right Extensive coding fluency in Python and modern PyTorch distributed stacks.
code_blocks Technologies & Competencies

Skills & Tech Stack

Deep Learning PyTorch Autonomous Vehicles Video Models Python C++
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Why candidate applications stand out

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Verified Technical Credentials

Applications include direct proof-of-work repositories and instructor verification endorsements.

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Fast-Track Hiring Visibility

Direct internal referral channels through enterprise partners bypass automated resume discard filters.

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