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Gatik AI

Machine Learning Engineer

Gatik AI · Santa Clara, CA

Posted 6 days ago

or apply directly on Gatik AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
6 days
Gatik AI's roles stay open a median of 45 days
Reposted
No
Salary listed
No
71% of Gatik AI's roles list one
Ghost-job risk at Gatik AI
high
49 stale, 0 reposted of 63 open
Hiring momentum
74 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Gatik AI's own greenhouse board since 2026-08-03. Full hiring picture for Gatik AI.

About this role

The Machine Learning Engineer will develop, optimize, and deploy production ML models for autonomous vehicles. This role involves end-to-end model development, including data strategy, training, optimization, and real-time deployment, while collaborating with various teams to ensure model efficiency and reliability. The position requires onsite work in Santa Clara, CA, five days a week.

Our read on this posting3.2out of 5
benefits
1/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Gatik AI as an employer.

What you need

  • MS or PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering, Statistics, Optimization, or a related field
  • Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
  • Strong C++ skills and experience integrating ML models into high-performance production systems
  • Deep understanding of ML workflows, including data curation, training, evaluation, deployment, and inference optimization
  • Experience deploying and optimizing neural networks for real-time, embedded, robotics, or autonomous driving systems
  • Experience with model optimization techniques such as quantization, pruning, compression, and efficient architectures

Nice to have

  • Experience with CUDA and TensorRT
  • Experience with cloud-based ML training and evaluation pipelines, preferably Azure
  • Experience with transformers, multimodal models, diffusion models, world models, or end-to-end driving models
  • Experience in autonomous driving, robotics, or other safety-critical real-time ML systems
  • Publications or demonstrated technical contributions in efficient ML, autonomous driving, robotics, or related areas

Worth weighing

  • Onsite work required 5 days a week
  • Salary range is specified as $170,000 - $240,000, which may vary based on experience
  • Open to all experience levels, but leveling will be determined based on experience and technical depth

Summarised from Gatik AI's posting. Read the full original.

Listed by Gatik AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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