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Data Science Engineering

Job in Pasadena, Los Angeles County, California, 91122, USA
Listing for: Caltech
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Computer Science, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 40.5 - 64 USD Hourly USD 40.50 64.00 HOUR
Job Description & How to Apply Below

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.

Job Summary

The data science engineer will work closely with the PI and his research group to develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing. The successful candidate will contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning.

  • Develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing
  • Contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning
  • Perform other related duties as assigned
Basic Qualifications
  • Background in Computer Science, Statistics, or Mathematics
  • Strong programming skills in Python and R
  • Background in algebraic geometry, computational algebra, and symbolic computation
  • Experience with algorithm development and research
Preferred Qualifications
  • Strong programming skills in SQL and Py Torch
  • Familiarity with cloud computing, high-performance computing platforms and distributed computing environments
  • Familiarity with containerization and orchestration technologies
  • Experience building, deploying, and maintaining data pipelines, analytical workflows, and machine learning systems in production or research environments
  • Experience with version control, testing, and software engineering best practices
Required Documents
  • Resume
Hiring Range

$40.50 - $64.00 per hour

The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time.

Learn more about our benefits and staff perks .

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.

Caltech is a VEVRAA Federal Contractor.

Caltech complies with the Fair Employment and Housing Act (FEHA) and the Americans with Disabilities Act (ADA). We consider reasonable accommodation measures that may be necessary for eligible applicants and employees to perform the essential functions of a position.

If you would like to request an accommodation to complete this application, interview, or otherwise participate in the employee selection process, please contact Caltech Recruiting at employment .

Additionally, if you do not meet the basic qualifications of a role but believe you can perform the essential functions of the job with reasonable accommodation, please reach out to Caltech Recruiting at employment .

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