Staff Machine Learning Engineer - Data
About The Position
Kodiak Robotics, Inc. is a leader in autonomous ground transportation, developing an AI-powered technology stack for commercial trucking and the public sector. The company is seeking Machine Learning Engineers focused on data, pipelines, and tooling to enhance the intelligence of the Kodiak Driver. ML teams at Kodiak work across perception, prediction, planning, and AI infrastructure to transform real-world driving data into models for safe and scalable autonomous trucking. In this role, you will develop the data pipeline essential for designing machine learning systems that improve vehicle perception, prediction of other road users' behavior, and safe driving decisions. You will collaborate with robotics, autonomy, and infrastructure teams to refine the performance of the autonomy stack using large-scale data from the fleet. This is a high-impact opportunity to work on cutting-edge AI systems in a real-world environment, contributing to the advancement of autonomous trucking.
Requirements
- 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
- Proven ability to build scalable ELT pipelines and data models using SQL and modern data lakes using automated workflow orchestration tools such as Apache Airflow / MetaFlow
- Strong software engineering fundamentals including testing, debugging, and system design.
- Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.
Responsibilities
- Work with ML team to automate existing and new pipelines using AirFlow/Metaflow like orchestration frameworks.
- Utilize different auto generated / manually labeled signals to stratify datasets to dedup data and improve the information content of ML dataset.
- 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.
- Be the advocate for additional tooling to simplify and improve current processes to become more powerful and automated. This includes but is not limited to dataset curation and mining, evaluation and problem discovery, labelling and triage including utilizing LLM’s and offboard models.
- Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.
Benefits
- 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
- Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
- Fidelity 401(k)
- Commuter, FSA, Dependent Care FSA, HSA
- Various incentive programs (referral bonuses, patent bonuses, etc.)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
