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Entry Level Machine Learning Engineer Jobs in Riverbank, CA

Using machine learning, you will contribute to projects involving crop health monitoring, disease ... of Engineering, Agricultural Sciences, Life Science, or Natural Resources; OR have obtained a ...

Using machine learning, you will contribute to projects involving crop health monitoring, disease ... of Engineering, Agricultural Sciences, Life Science, or Natural Resources; OR have obtained a ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Work directly with fabrication, machining, welding, and assembly teams to ensure designs are ... Process Engineering Change Orders and Engineering Change Requests (ECOs/ECRs) and maintain accurate ...

Work directly with fabrication, machining, welding, and assembly teams to ensure designs are ... Process Engineering Change Orders and Engineering Change Requests (ECOs/ECRs) and maintain accurate ...

Work directly with fabrication, machining, welding, and assembly teams to ensure designs are ... Process Engineering Change Orders and Engineering Change Requests (ECOs/ECRs) and maintain accurate ...

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Entry Level Machine Learning Engineer information

See Riverbank, CA salary details

$31.1K

$71.8K

$122.2K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level machine learning engineer in Riverbank, CA is $71,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $81,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Riverbank, CA?

The most popular types of Machine Learning Engineer jobs in Riverbank, CA are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Riverbank, CA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Riverbank, CA are:

What cities near Riverbank, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Riverbank, CA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Riverbank, CA as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 72% In-person, 2% Hybrid, and 26% Remote job distribution, with an average salary of $71,807 per year, or $34.5 per hour.

Geospatial Data Science Internship 2027

Modesto, CA • On-site

$26.50 - $27.50/hr

Full-time, Internship

Medical, Dental, Retirement

Posted 8 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.

Gallo Privacy Policy

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.

Gallo is enrolled in the Department of Homeland Security's E-Verify program and will use the program to verify the employment eligibility of all newly hired employees as required.

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