<div class="content-intro"><p>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 technology. In 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.</p></div><div class="section page-centered">
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<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;">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.</span></p>
<span style="font-size: 12pt;">This is a high-impact, cross-functional role where you’ll interface with our perception, foundation model, and infrastructure teams to transform real-world driving data into smarter models and safer autonomy.</span></div>
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<h3 data-qa="preview-list-item-0-text"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">In this role, you will:</span></h3>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Design and implement the end-to-end AI Flywheel, platforms for training, validation, deployment, and building a robust automated system.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and maintain multi-node distributed training pipelines using tools like PyTorch DDP, Horovod, or Ray.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop smart data mining and active learning strategies to prioritize valuable training data from petabyte-scale logs.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Automate model evaluation and selection pipelines to support rapid iteration and closed-loop deployment.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Build infrastructure for seamless model image packaging, validation, and rollout across Kodiak’s autonomous fleet and AI platform.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Ensure that the flywheel is reliable, reproducible, and scalable, capable of learning from millions of real-world miles.</span></li>
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<h3 data-qa="preview-list-item-1-text"><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">What you'll bring:</span></h3>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Robotics, or a related field.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">3+ years of experience building production-grade ML infrastructure or model pipelines.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Deep proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with distributed training and pipeline orchestration (e.g., Airflow, Kubeflow, Dagster).</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong engineering fundamentals, debugging skills, and ability to scale systems.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Passion for turning real-world data into self-improving AI systems.</span></li>
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<p><span style="font-size: 12pt;"><strong>Ideal candidate will also bring: </strong></span></p>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience in autonomous vehicles, robotics, or other sensor-rich real-world ML systems.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Prior work with self-supervised learning, active learning, or large-scale data curation.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with containerization (Docker), model packaging, and deployment workflows.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Comfort working in cross-functional teams with research scientists, infra engineers, and robotics experts.</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">A mindset of ownership, experimentation, and systematic improvement.</span></li>
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<p class="p2"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>What we offer:</strong></span></p>
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<li style="font-size: 12pt;"><span style="font-size: 12pt;">Competitive compensation package including equity and annual bonuses</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Flexible PTO, 10 paid holidays, and generous parental leave policies</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Our office is centrally located in Mountain View, CA</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Long Term Disability, Short Term Disability, Life Insurance</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) </span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Fidelity 401(k)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Commuter, FSA, Dependent Care FSA, HSA</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Various incentive programs (referral bonuses, patent bonuses, etc.)</span></li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The pay range listed below reflects the base salary <strong data-stringify-type="bold">in our SF/Silicon Valley location, </strong>across 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</p></div><div class="title">California Pay Range</div><div class="pay-range"><span>$180,000</span><span class="divider">—</span><span>$240,000 USD</span></div></div></div><div class="content-conclusion"><div> </div>
<div>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.</div>
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<div>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 candidate’s residence, U.S. person status, and/or citizenship status. 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-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.</div>
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<div><em>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](</em><em><a href="https://endorsed.com/local-law-144" target="_blank" data-sk="tooltip_parent">https://endorsed.com/local-law-144</a></em><em>). 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 </em><em><a href="mailto:careers@kodiak.ai" target="_blank" data-sk="tooltip_parent">careers@kodiak.ai</a></em><em> with "Separate Review Request" in the email subject line.</em></div>
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