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.
- 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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