Applied AI Engineer Flywheel Automation & Continuous Learning

San Francisco, CA - USA

Monthly Salary: $ 180000 - 240000

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Kodiak Robotics Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous 2024 Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop test and deploy autonomous capabilities for the U.S. Department of Defense.

Kodiak is seeking a world-class Applied AI Engineer to design and build the AI Flywheel - the closed-loop system that powers continuous learning across our fleet of autonomous trucks.

In this role you will own the architecture and automation of a complete data-to-model flywheel: from mining hard edge cases to orchestrating distributed training pipelines to deploying models across our large-scale AI infrastructure. Your work will ensure that our models improve rapidly and continuously with every mile driven.

This is a high-impact cross-functional role where youll interface with our perception foundation model and infrastructure teams to transform real-world driving data into smarter models and safer autonomy.

In this role you will:

Design and implement the end-to-end AI Flywheel platforms for training validation deployment and building a robust automated system.
Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP Horovod or Ray.
Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs.
Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment.
Build infrastructure for seamless model image packaging validation and rollout across Kodiaks autonomous fleet and AI platform.
Ensure that the flywheel is reliable reproducible and scalable capable of learning from millions of real-world miles.

What youll bring:

Bachelors Masters or PhD in Computer Science Machine Learning Robotics or a related field.
3 years of experience building production-grade ML infrastructure or model pipelines.
Deep proficiency in Python and deep learning frameworks (e.g. PyTorch TensorFlow).
Experience with distributed training and pipeline orchestration (e.g. Airflow Kubeflow Dagster).
Strong engineering fundamentals debugging skills and ability to scale systems.
Passion for turning real-world data into self-improving AI systems.

Ideal candidate will also bring:

Experience in autonomous vehicles robotics or other sensor-rich real-world ML systems.
Prior work with self-supervised learning active learning or large-scale data curation.
Familiarity with containerization (Docker) model packaging and deployment workflows.
Comfort working in cross-functional teams with research scientists infra engineers and robotics experts.
A mindset of ownership experimentation and systematic improvement.

What we offer:

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
Our office is centrally located in Mountain View CA
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.)

The pay range listed below reflects the base salaryin our SF/Silicon Valley locationacross several internal levels. Actual starting pay will be based on job-related factors including: work location experience relevant training education skill level and performance during interview. Total compensation at Kodiak includes base pay equity bonus and a competitive benefits package

California Pay Range

$180000 - $240000 USD

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. Kodiak is committed to 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.

In alignment with its business operations Kodiak adheres to all relevant statutes regulations and administrative prerequisites. Accordingly roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidates residence U.S. person status and/or citizenship status. Should the position require and Kodiak determines that a candidates 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-related restrictions Kodiak will consider the candidate for alternative positions unaffected by such restrictions under terms and conditions set forth at Kodiaks sole discretion or as an alternative opt not to proceed with the candidates application. If applicable Kodiak may provide visa sponsorship for eligible candidates.

We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1 2026. You can review the independent bias audit report covering our use of Endorsed here( By submitting your application you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application please contact with Separate Review Request in the email subject line.

Required Experience:

Kodiak is seeking a world-class Applied AI Engineer to design and build the AI Flywheel - the closed-loop system that powers continuous learning across our fleet of autonomous trucks.

In this role you will:

Design and implement the end-to-end AI Flywheel platforms for training validation deployment and building a robust automated system.
Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP Horovod or Ray.
Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs.
Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment.
Build infrastructure for seamless model image packaging validation and rollout across Kodiaks autonomous fleet and AI platform.
Ensure that the flywheel is reliable reproducible and scalable capable of learning from millions of real-world miles.

What youll bring:

Bachelors Masters or PhD in Computer Science Machine Learning Robotics or a related field.
3 years of experience building production-grade ML infrastructure or model pipelines.
Deep proficiency in Python and deep learning frameworks (e.g. PyTorch TensorFlow).
Experience with distributed training and pipeline orchestration (e.g. Airflow Kubeflow Dagster).
Strong engineering fundamentals debugging skills and ability to scale systems.
Passion for turning real-world data into self-improving AI systems.

Ideal candidate will also bring:

Experience in autonomous vehicles robotics or other sensor-rich real-world ML systems.
Prior work with self-supervised learning active learning or large-scale data curation.
Familiarity with containerization (Docker) model packaging and deployment workflows.
Comfort working in cross-functional teams with research scientists infra engineers and robotics experts.
A mindset of ownership experimentation and systematic improvement.

What we offer:

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
Our office is centrally located in Mountain View CA
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.)