Kodiak Robotics

Staff Machine Learning Engineer - Data

San Francisco Bay Area · Staff+

Sponsorship not specified$200k-$265kDetected 19 days ago

PythonSpringSQLMachine LearningAirflowData EngineeringLLMsAI OrchestrationIntellectual PropertyRoboticsSensors

About the role

The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector.
In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer.
Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.

Improve and support the metrics dashboard and the underlying datastore to allow it to be scalable for growing volume of tests, performant and cost effective.
At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited.

MS or PhD in Computer Science, Robotics, Engineering, Mathematics, or a related technical field, and 3+ years of practical experience working with ML teams.
Proficiency in Python
Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

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)
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
Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
Commuter, FSA, Dependent Care FSA, HSA
Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package
Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview.

equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-rel

This listing is sourced directly from Kodiak Robotics's careers page and normalized into a canonical job model.