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Machine Learning Research Intern Jobs in Davis, CA

Lead AI / ML Engineer

Sacramento, CA · On-site

$109K - $144K/yr

We'll be engaging regulators to help shape the policy agenda, conducting pioneering research with ... Developing and deploying machine learning models and AI solutions. At least 2 from the following:

Pharmacist

Sacramento, CA · On-site

$68.35 - $132.43/hr

... and research with global impact. We foster a learning environment that values evidenced based ... When a technician or intern is involved in the process, independently calculates or evaluates the ...

Pharmacist

Sacramento, CA · On-site

$68.35 - $132.43/hr

... and research with global impact. We foster a learning environment that values evidenced based ... When a technician or intern is involved in the process, independently calculates or evaluates the ...

Pharmacist

Sacramento, CA · On-site

$68.35 - $132.43/hr

... and research with global impact. We foster a learning environment that values evidenced based ... When a technician or intern is involved in the process, independently calculates or evaluates the ...

As an Intern at Elve, you will dive headfirst into a fast-paced, deep-tech startup environment ... We believe in high-impact, hands-on learning. You will work side-by-side with world-class experts ...

As an Intern at Elve, you will dive headfirst into a fast-paced, deep-tech startup environment ... We believe in high-impact, hands-on learning. You will work side-by-side with world-class experts ...

As an Intern at Elve, you will dive headfirst into a fast-paced, deep-tech startup environment ... We believe in high-impact, hands-on learning. You will work side-by-side with world-class experts ...

Showing results 41-60

Machine Learning Research Intern information

See Davis, CA salary details

$27.6K

$46K

$95.1K

How much do machine learning research intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning research intern in Davis, CA is $46,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Davis, CA? For Machine Learning Research Intern jobs in Davis, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Intern jobs in Davis, CA look for? The top searched job categories for Machine Learning Research Intern jobs in Davis, CA are:
What cities near Davis, CA are hiring for Machine Learning Research Intern jobs? Cities near Davis, CA with the most Machine Learning Research Intern job openings:
Infographic showing various Machine Learning Research Intern job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,028 per year, or $22.1 per hour.

Healthcare Programmer, Medicaid and Pharmacy

American Institutes for Research

Sacramento, CA • On-site

Other

Posted 4 days ago


Job description

Join AIR as a Healthcare Programmer, Medicaid and Pharmacywith our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts-economists, data scientists, statisticians, public health experts, sociologists, nurses, physicians, and psychologists - advance evidence and save lives by leading rigorous research and evaluation; program implementation and monitoring; results-driven technical assistance and training; and leading-edge data science and technology tools.

TheHealthcare Programmer - Medicaid and Pharmacy willapply programming skills to manage, analyze, and report on complex datasets, to implementand support research design, documentation, and project coordination, and to ensure high-quality data-driven insights.

Candidates with expertise with Medicaid policy and data, and/or pharmaceutical pricing and related data sources are especially encouraged to apply.

This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR'sU.S. office locations. This does not include U.S. territories.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

  • Extract, recode, merge, and de-duplicate datasets to prepare them for analysis.
  • Conduct outlier analyses, manage missing data, and create derived analysis variables.
  • Perform statistical analyses to support research and reporting needs.
  • Generate customized reports summarizing data analysis results.
  • Produce high-quality, computer-generated data listings, summary tables, and data collection outputs.
  • Provide technical oversight, mentorship, and training to junior SAS programmers.
  • Debug and revise code by identifying and resolving programming errors.
  • Write and maintain comprehensive documentation for code, programs, and technical specifications.
  • Prepare technical reports and contribute to proposal development.
  • Perform other related duties and special projects as assigned.

Qualifications:

Education, Knowledge, and Experience

  • Bachelor's degree in Statistics, Data Science, Public Health, Economics, Epidemiology, or a related quantitative field.
  • Minimum of 5 years of experience working with large-scale healthcare administrative or claims data.
  • Direct experience processing and analyzing Medicare, Medicaid, and/or other commercial claims data.
  • Direct experience with pharmaceutical pricing data, prescription drug encounter data, or other related data sources.
  • Experience using SQL, Python, R and/or other data analysis tools.
  • Knowledge of data analysis and data management techniques.
  • Experience applying SAS in research or analytical settings, particularly in health or social sciences.
  • Knowledge and experience with advanced analytic techniques such as machine learning preferred, but not required.
  • Proposal and report preparation experience preferred, but not required.

Skills

  • Skilled in all aspects of data processing management.
  • Effective communication skills with the ability to collaborate efficiently in a virtual work environment.
  • Excellent organizational and time management skills.
  • Strong ability to manage multiple tasks and prioritize effectively.
  • Adept in a fast-paced environment to manage multiple concurrent deliveries.
  • Demonstrated analytical, critical thinking, and problem-solving skills with a focus on details.

Disclosures:Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basisof any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender,gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status.AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.

ACCESSIBILITY NOTICE:If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone attboone@air.orgor call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.

Anticipated Annual Salary Range $130,000—$160,000 USD