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Kodiak

Staff Machine Learning Engineer - Deployment

Kodiak · San Francisco Bay Area

Posted about 3 months ago

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

Is this posting real?

This role has been open
80 days
Kodiak's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Kodiak's roles list one
Ghost-job risk at Kodiak
high
72 stale, 2 reposted of 72 open
Hiring momentum
92 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

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

About this role

As a Staff Machine Learning Engineer at Kodiak AI, you will focus on deploying machine learning systems that enhance the Kodiak Driver's capabilities in understanding the environment and making safe driving decisions. Your work will involve designing and training onboard models, collaborating with cross-functional teams, and analyzing real-world data to improve model performance. This role is critical in advancing autonomous trucking technology through continuous learning and deployment.

Our read on this posting3.2out of 5
benefits
5/5
freshness
1/5
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 Kodiak as an employer.

What you need

  • MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience
  • 6+ years experience deploying machine learning or deep learning systems in production environments
  • Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow
  • Experience working with large-scale distributed training systems
  • Solid understanding of optimization, and machine learning fundamentals
  • Strong software engineering fundamentals including testing, debugging, and system design

What you get

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance

Worth weighing

  • No salary listed in the posting, only a pay range for the location
  • The role involves working with potentially complex and sensitive technology related to national security, which may impact eligibility for candidates
  • The use of a third-party AI tool for initial application screening may affect the application process

Summarised from Kodiak's posting. Read the full original.

Listed by Kodiak on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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