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Job SummaryIPAC, part of the Physics, Math, and Astronomy Division at Caltech (
IPAC invites applications for a full-time data science position. The selected applicant will work with members of several teams at IPAC to investigate and implement machine learning and artificial intelligence (ML/AI) techniques to improve the efficiency and effectiveness of data ingestion for the
Essential Job DutiesAs a data science staff member, your job may include:

• Evaluate different machine learning methods for applicability to streamline data ingestion from the scientific literature.
• Design, develop and test a shared IPAC infrastructure and processes for applying AI/ML models to this domain, including facilitation of periodic retraining of models, which is essential to account for new data types or patterns appearing in the literature as science advances.
• Integrate the new AI assistance tools and methods into the operational processes of NED and the Exoplanet Archive, including folding in feedback from vetting by human experts to iteratively improve the AI-generated database load files.
• Write, test, and edit documentation.
• Participate in meetings (virtual and in-person).

Basic QualificationsIf you have the following in your background, then we want to hear about your interest in joining our team:

• Bachelor’s degree in computer science, astrophysics or a closely related field.
• Experience and strong interest in machine learning methods.
• Experience with programming in Python, R, or other scientific/technical computing language.
• Good written and verbal communication skills, with an emphasis on the ability to share ideas in a collaborative and diverse setting.

Preferred QualificationsBeyond these basic qualifications, there are skills and experiences which will add to your ability to contribute to the roles and responsibilities of this position. Any of the following might give you a head start here, but even if these do not describe you or your experience, we would still like to hear from you!

• Masters or PhD in computer science, astrophysics or a closely related field.
• Experience with implementing ML/AI techniques in a scientific application.
• Experience fine tuning modern large language models to improve accuracy in a specific domain of knowledge will be particularly advantageous.
• Experience working with astronomical archives and familiarity with data published in the peer-reviewed astronomical literature.

Required Documents

• CV
• Cover letter
• List of three professional references.

Consideration of applications will begin August 16 and continue until the position is filled.
Hiring Range $69,100 - $88,100 Per Year
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
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.
To read more Equal Employment Opportunity (EEO) go to eeoc_self_print_poster.pdf.
Disability Accommodations If you would like to request an accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to Caltech Recruiting at