Fall 2026 Intern, Data Science

Reposted 2 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
10K-10K Annually
Internship
Automotive • Robotics • Software • Transportation
The Role
Intern will design data-driven analyses, ensure data cleanliness, correlate performance metrics, and support teams with necessary data for decision-making.
Summary Generated by Built In

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.

We are looking for a highly skilled Data Science Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment.
In this role, you will:

  • Design and execute data-driven analyses to identify and mitigate potential safety risks within perception systems, enabling the development of thorough safety case arguments.
  • Facilitate development of our data platform and ensure cleanliness.
  • Correlate performance of the Kodiak Driver on-road with simulation results.
  • Work closely with the perception and system team and ensure the teams are supported with data necessary to make timely, informed decisions.

Qualifications:

  • BS, MS or PhD in Computer Science, Statistics, Operations Research or related quantitative technical fields.
  • Strong understanding of data aggregation and interrogation statistics metrics implementation & underlying mathematical/statistical principles.
  • Thinking with a safety mindset.
  • Ability to communicate complex data in a simple, actionable way.
  • Practical knowledge of common data analysis, inference, and statistical modeling tools, using Python and SQL.
  • Take ownership and enjoy working with the team to deliver actionable results.
  • Internship experience using machine learning or statistical analysis to build data-driven product solutions or developing methodological research.
  • Familiarity with version control systems like Git and experience with software development workflow.
  • Experience with modeling quantities of interest as random variables using distributions and uncertainty quantification.

Internship Program Details:

  • Start Date: Sept 2026.
  • Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
  • Location: Mountain View, CA.
  • Housing: interns are responsible for housing.

What We Offer:

  • A fast paced environment where we work with talented, committed and supportive teammates.
  • Competitive pay.
  • Excellent medical, dental and vision benefits.  
  • A beautiful facility in Mountain View.
  • We love our dogs, so we are a dog friendly office!
  • Free catered lunch.

The pay range listed below reflects the base salary in our SF/Silicon Valley location, 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

California Pay Range
$10,000$10,000 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 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.
 
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](https://endorsed.com/local-law-144). 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 [email protected] with "Separate Review Request" in the email subject line.

Skills Required

  • BS, MS or PhD in Computer Science, Statistics, Operations Research or related quantitative technical fields
  • Strong understanding of data aggregation and statistics metrics implementation
  • Ability to communicate complex data simply
  • Practical knowledge of common data analysis tools using Python and SQL
  • Internship experience with machine learning or statistical analysis

Kodiak Robotics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kodiak Robotics and has not been reviewed or approved by Kodiak Robotics.

  • Fair & Transparent Compensation Pay is considered market-competitive for core engineering roles, with role postings indicating strong senior bands and offers aligned to autonomy peers. Salary ranges visible on listings reinforce competitiveness for experienced technical hires.
  • Equity Value & Accessibility Equity grants are commonly included with standard multi‑year vesting, and listings frequently note salary plus bonus and equity as part of offers. This makes ownership a regular component of total rewards for technical hires.
  • Healthcare Strength Health coverage includes medical, dental, and vision alongside life and short‑/long‑term disability, with FSA/HSA options available. Wellness partners such as mental‑health and primary‑care services are highlighted alongside core plans.

Kodiak Robotics Insights

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The Company
HQ: Mountain View, CA
81 Employees
Year Founded: 2018

What We Do

Kodiak Robotics is an autonomous technology company redefining the long-haul trucking industry. We believe self-driving trucks will be the first economically viable application of autonomous vehicle technology. We founded Kodiak in the spring of 2018 to make that belief a reality. Safety is our top priority. We are taking a safe and responsible approach to developing and testing our technology. We are proud to work with some of the best in the business. We’ve built a world class team of technologists from leading autonomous driving programs who know the industry inside and out. Our combined experience and commitment to the vision will allow us to put self-driving technology on the road in the safest and most effective way.

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