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Machine Learning Research Intern Jobs in Modesto, CA

As an intern, you will contribute to research and production support initiatives that aim to ... Using machine learning, you will contribute to projects involving crop health monitoring, disease ...

As an intern, you will contribute to research and production support initiatives that aim to ... Using machine learning, you will contribute to projects involving crop health monitoring, disease ...

Intern

Modesto, CA · On-site

$15.75 - $21/hr

Based on their level of experience, each intern receives structured, weekly clinical supervision ... researched and updated annually Internships area form of experiential learning that integrates ...

Manufacturing Engineer Intern

Livermore, CA · On-site

$19 - $24.50/hr

Performs research, design and development of manufacturing processes including production flow ... Designs, develops, and tests and/or sources and cost-justifies various tools, machinery, and ...

Operates pouch forming and filling machines. Monitors and tracks fill weights, temperatures, pouch ... Shall become competent in a timely manner of learning all CIP/COP and all sanitation in a manner ...

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Machine Learning Research Intern information

See Modesto, CA salary details

$26.9K

$44.9K

$92.8K

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

As of Sep 14, 2026, the average yearly pay for machine learning research intern in Modesto, CA is $44,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $48,500.00 per year, depending on experience, location, and employer.

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 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 cities near Modesto, CA are hiring for Machine Learning Research Intern jobs?

Cities near Modesto, CA with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Modesto, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $44,926 per year, or $21.6 per hour.

Geospatial Data Science Internship 2027

Modesto, CA • On-site

$26.50 - $27.50/hr

Full-time, Internship

Medical, Dental, Retirement

Posted 10 days ago


Gallo rating

8.1

Company rating: 8.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Job Req ID: 107579 

Job Type: Full-time 

Work Category: Onsite,

Application Close Date: 11/15/2026 

Sponsorship: Not Available 

Compensation: $26.50 - $27.50 / hour

Duration: 6 months (June - December, 2027)

*Important Information*
Applications will not be reviewed until the application close date.
Candidates must be available for the entire duration of the internship to qualify.

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We are GALLO

We're a family-owned company with a 90+ year legacy, that's consistently recognized as a Glassdoor "Best Places to Work." We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We're home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America.

View our Corporate Values and Mission Statement here.

A Taste of What You'll Do

Join our team as a GIS (Geospatial Data Science) and be at the forefront of innovation in wine grape production. We are dedicated to fostering an inclusive environment where diverse talents and perspectives drive our success in advancing digital agriculture practices. As an intern, you will contribute to research and production support initiatives that aim to enhance yield, fruit composition, and wine quality. You will work alongside experts from various Winegrowing Research disciplines and collaborate with internal partners and leading industry and academic collaborators.

You will process and analyze geospatial data from satellite and drone imagery, soil maps, climate information, and ground observations. Using machine learning, you will contribute to projects involving crop health monitoring, disease detection, yield prediction, and vine water status. You will also use Python, R, and cloud computing to automate spatial data processing and help develop accurate, high-quality spatial databases.

  • Interns will develop and apply GIS and remote sensing solutions for advancing vineyard management and grape production practices.
  • Assigned tasks include utilizing machine learning techniques to monitor crop health, disease detection, yield prediction, and vine water status.
  • Interns will learn how GIS is applied to wine grape production across a wide-range of California production regions, grape varieties, and growing practices.

Embrace this opportunity to develop your skills and be part of a team that values innovation, collaboration, and diverse perspectives.

What You'll Need

  • Currently enrolled at a college or university and working towards a Bachelor's degree or Master's degree in the School of Computer Science, School of Engineering, Agricultural Sciences, Life Science, or Natural Resources; OR have obtained a Bachelor's degree or Master's degree in the School of Computer Science, Engineering, Agricultural Sciences or Natural Resources.
  • Available for the entire duration of the internship program area(s) of interest.
  • Strong applied technical skills and analytical problem-solving skills.
  • Good oral and written communication skills.
  • Requires availability to work evenings, weekends and holidays when necessary.
  • Required to be 21 years of age.

To view a full job description, please click here.

Our Benefits & Perks

We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview.

The Fine Print

  • The Company does not sponsor for employment-based visas for this position now or in the future.
  • We offer a broad salary range to allow for long-term growth. Actual compensation paid within the range will be determined by multiple factors, including, but not limited to, education, experience, knowledge, skills and abilities, internal equity, and alignment with market data. Although we estimate the successful candidate hired into this role will be placed between the entry point and middle of the range, the decision will be made on a case-by-case basis related to these factors. In addition to the salary, this position may be eligible for bonuses, incentive plans, or participate in tasting room tip pools, as applicable.
  • This position will be based in the location(s) specified in the job posting and requires working on-site with no telecommuting option. You will be expected to live within a commutable distance. 
  • It is the Company's policy for job postings to be open to internal candidates for a minimum of 5 days and to external candidates, if applicable, for a minimum of 3 days.

Gallo's policy is to afford equal employment opportunities to all applicants and employees and not to discriminate on the basis of race, traits associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, sexual orientation (actual or perceived), transgender status, sex stereotyping, pregnancy, childbirth or related medical conditions, reproductive health decision making, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. Nor will Gallo discriminate based on a perception that an individual has any of the foregoing characteristics or is associated with a person who has, or is perceived to have, any of those characteristics.

Gallo will comply with state and local laws prohibiting discrimination for lawful out-of-work behavior, such as off-duty use of cannabis away from the workplace (subject to federal and state law exceptions), the existence of non-psychoactive cannabis metabolites in hair, blood, urine, or other bodily fluids as determined by a drug screening test (subject to federal and state law exceptions).

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodation for candidates with disabilities in our recruiting process. If you need any assistance or accommodation due to a disability, please let us know at 209.341.7000.

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