Staff Machine Learning Engineer, Kodiak Robotics
Data
$200-265k
Plus equity and annual bonuses
Office located in Mountain View, CA
Self-driving technology for long-haul trucks
Job no longer available
Self-driving technology for long-haul trucks
201-500 employees
Job no longer available
$200-265k
Plus equity and annual bonuses
Office located in Mountain View, CA
201-500 employees
Company mission
To carry freight forward - so people, partners, and the planet thrive.
Role
Who you are
- 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
What the job involves
- Kodiak is seeking Machine Learning Engineers focussing on data, pipelines and tooling to help build the intelligence that powers the Kodiak Driver. 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
- In this role, you will develop the data pipeline which helps design machine learning systems that improve our vehicles’ ability to understand the world, predict the behavior of other road users, and make safe driving decisions
- You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet
- This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment
- 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
Our take
Global supply chains rely on frictionless long-haul trucking freight networks, but the repetitive and stationary nature of the job has resulted in a lack of willing drivers. Whilst this has been partially resolved through the introduction of self-driving trucks, such systems are notoriously difficult to maintain which ultimately leads to significant downtime.
Kodiak Robotics develops self-driving technology for long-haul trucks, providing wing mirrors built with sensors called Kodiak SensorPods. These sensors provide the technology necessary for the trucks to be driven safely and autonomously and have been designed to be replaced or serviced rapidly to minimize downtime.
odiak Robotics has taken a unique approach by recognizing the high-maintenance nature of existing self-driving systems, innovating upon this through its easily replaceable SensorPods. Through this approach and several successful rounds of funding, the company aims to fill empty truck driving positions with safer AI drivers.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2023
$75m
CONVERTIBLE
Nov 2021
$125m
SERIES B
Total funding: $240m
Company benefits
- Remote-friendly work environment
- 401k
- Generous PTO policy
- Life insurance
- Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
- Family-friendly company events
- Dog-friendly office
- Employee-driven fitness classes
- Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
- Free EV charging
- Trivia and board game nights
Company HQ
Mountain View, CA
Leadership
Don Burnette
(CEO & Founder)Experience as Co-founder of Otto. Software Technical Lead at Uber from 2016 to 2018.
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