R&D Intern - Seattle

Location: Kent, WA (suburb of Seattle)
Type: Seasonal (6 months)
Wage: Paid stipend (between $3200-3500/month)
Hours: Full-Time
Starting Date: March 2026
Applications Close on February 19th, 2026

Do you want to solve baseball's unknown problems? This internship is focused heavily on the fields of Computer Vision, Machine Learning, Artificial Intelligence, and infrastructure engineering.
Driveline Baseball is the industry leader in applied biomechanics and training as it pertains to baseball player development - 40+ interns and full-time employees have gone on to work as Directors, Coordinators, and other full-time positions in both Major League Baseball and Nippon Professional Baseball.

Our paid internships are the gold standard across all of professional and collegiate baseball. 

"Working at Driveline was an incredible opportunity and period of self development for me. Every day consisted of thought provoking, detailed, and collaborative work with people who had a passion for understanding and innovating. It’s an environment where intelligently applied hard work leads to huge results." -Jesse Clingman, former Sport Science Intern.

 You'll learn more here in six months than you would in six years anywhere else. R&D Interns report jointly to our Chief Technology Officer (company founder, Kyle Boddy) and the Facility R&D Coordinators. You'll be tasked with independent learning projects and have access to our educational tracks from our internal certification dashboard and courses. 
   
We are seeking talented individuals who are interested in working in a fast-paced environment that features a mix of cutting-edge technologies and systems within baseball biomechanics and player development.  
 
Interns with the following traits have historically had the best success at Driveline Baseball: 

• Strong desire to learn new technologies and systems without being intimidated by complexity
• Willingness to adapt to a fast-paced environment where things can - and will - go wrong from time to time

 PRIMARY JOB REQUIREMENTS: * Operating our world-class, motion capture laboratory - at first with supervision, but eventually independently

• Proactively troubleshooting facility technologies
• Improving our infrastructure engineering platform
• Maintaining and developing Computer Vision (CV) pipelines and models
• Pushing agentic coding, infrastructure, and analytical capacities beyond the bleeding edge

PHYSICAL REQUIREMENTS:
Candidates applying for this position should be able to lift up to 50 pounds unassisted repeatedly throughout the workday. Also, the physical requirements of this job require frequent walking around, demonstrating and assisting with exercise, throwing and lifting movements; bending, throwing, stretching, lifting, pushing, pulling and squatting are movements performed daily.

For those who have issues sitting down at a desk to perform their work, standing desks are provided.

REQUIRED QUALIFICATIONS * Operating Systems: Proficiency with Linux (CLI primarily) and Windows (Powershell experience a plus).

• Programming Languages: Proficiency with Python, C++, JavaScript, PHP, and/or SQL. (Attach code samples, your GitHub repository, the books/courses you're taking - don't hold back)
• Excellent interpersonal skills with the ability to communicate with technical and non-technical audiences. Writing samples appreciated.
• Strong desire to embrace agentic development methods with some experience using Claude Code, Codex, Cursor, and/or OpenCode in both interactive and non-interactive ways.
• Strong willingness and desire to use the command line interface and text user interfaces for the majority of your technical work.
• Demonstrated independent projects - school, work, or best of all, for the love of the game. Need not be baseball-related.

 PREFERRED QUALIFICATIONS * Previous motion capture lab experience. Operating, cleaning, coding, building. Tell us what you've done. Don't just list a place of work.

• Demonstrated independent projects in one or more of the following fields: Computer Vision, Agentic Coding/Harnesses, Large Language Models / Vision Models (Training or Fine-Tuning; not simply inference proficiency).
• Formal or informal education in mathematics, physics, engineering, or similar hard sciences. If informal, how did you study? Why did you study informally?
• Extremely strong coding skills in one or more of the following languages: Python, C++, PHP, or JavaScript.
• Previous experience working with large datasets.
• Experience working with technical hardware (i.e. robotics, building a PC, etc.).

 
We are looking for someone to join the team immediately. Those who cannot join the team until Summer 2026 will only be considered if they are exceptional (2+ SD graded) candidates.

Question Bank Notes
The questions connected with this application are difficult and ultra-specialized. We do not expect candidates to have exceptional answers to all or even most of the questions. However, we receive many, many applications in the post-LLM world, so specific questions help us cut down the field for the next round and help to narrow the field of applicants down to those who truly want the position at Driveline Baseball.
AI Writing DisclosureAll text-based methods will be screened using advanced AI detection software. This will not necessarily rule your submission invalid, but consider where and when it is best to use AI writing and be prepared to defend its use if you move on to the next stage.

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.*This is an on-site position in Kent, WA only. No remote work available.
EQUAL OPPORTUNITY EMPLOYER 
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.