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Machine Learning Jobs in Modesto, CA (NOW HIRING)

Software Developer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Frontend Engineer

Tracy, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Staff Software Engineer

Tracy, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

QA Engineer - AI Trainer

Tracy, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Back End Developer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Backend Developer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Application Developer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Software Engineer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Frontend Engineer

Stockton, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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Machine Learning information

See Modesto, CA salary details

$26.9K

$44.9K

$92.8K

How much do machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning 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 is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are popular job titles related to Machine Learning jobs in Modesto, CA? For Machine Learning jobs in Modesto, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Modesto, CA look for? The top searched job categories for Machine Learning jobs in Modesto, CA are:
What cities near Modesto, CA are hiring for Machine Learning jobs? Cities near Modesto, CA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Modesto, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,926 per year, or $21.6 per hour.
Part-Time Instructor of Machine Tool Technology - School of Industry and Trades - Modesto Junior ...

Part-Time Instructor of Machine Tool Technology - School of Industry and Trades - Modesto Junior ...

Yosemite Community College District

Modesto, CA • On-site

$78.15 - $124.94/hr

Full-time, Part-time

Posted 14 days ago


Job description

Posting Details
Position Information
Job Title
Part-Time Instructor of Machine Tool Technology - School of Industry and Trades - Modesto Junior College 2025-2026
Site:
Modesto Junior College
Salary Range / Other
The Hourly Range: $78.15 to $124.94
Doctorate Range: $92.09 to $128.22
(2025-2026 Certified Part-time Instructor/Overload Hourly Salary Schedule)
Part Time Faculty office Hours are paid at a flat rate of $30 per hour.
Benefits
Not Eligible for Benefits:
With the exception of Workers' Compensation coverage, not eligible to participate in the District's benefit programs.
Position Summary Information
Scope of Assignment
The successful candidate will join a industry and trades department that continues to create curriculum responsive to student needs, increasing student completion through the implementation of strategies geared to increase student equity.
Minimum Qualifications
MINIMUM QUALIFICATIONSBachelor's degree(s) or higher and two years of professional experience, or an Associate's degree(s) and six years of professional experience. Professional experience required must be directly related to teaching assignment.
Determined by California State Chancellor's Office. Click hyperlink for discipline applicable Minimum Qualifications.
The District has adopted an equivalency procedure that enables consideration of applications by individuals who may not directly meet the qualifications listed above. For more information on equivalency, you may access the link below:
https://www.yosemite.edu/recruitment/equivalency_policy_and_procedures
It is the applicant's responsibility to provide proof of equivalency.
Knowledge of and ability to appraise the diverse academic, socioeconomic, cultural and ethnic backgrounds of community college students. Sensitivity to the needs, problems and challenges associated with the diversity of the community college student population.
PHYSICAL AND MENTAL STANDARDS
  • Mobility: ability to sit or stand for long periods and move around lab and classroom environments.
  • Dexterity: fine motor skills sufficient to operate machining equipment, tools, keyboards, and instructional materials.
  • Lifting: occasional lifting of papers, files, equipment and material weighing up to 25 pounds.
  • Visual Requirements: close vision sufficient to read files, documents, and computer screens and do close-up work; ability to adjust focus frequently.
  • Hearing/Talking: ability to hear normal speech, speak and hear on the telephone, and speak in person.
  • Emotional/Psychological Factors: ability to make decisions and concentrate, manage safety, meet deadlines, frequent contact with others including some public contact; frequent deadlines and time-limited assignments, and engage with diverse students

*Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Desirable Qualifications
DESIRABLE CHARACTERISTICS
  • Ability to develop innovative curriculum and improve student equity.
  • Enthusiasm for teaching and supporting student learning.
  • Commitment to collaborative work with colleagues and industry partners.
  • Willingness to remain current in the machining field and major state initiatives.
  • Ability to adapt to change, engage in professional development, and participate in shared governance.

Desirable Professional Characteristics
PREFERRED QUALIFICATIONS
  • Education and/or experience in teaching machining or machine tool technology at the community college level.
  • Current knowledge of manual machining, CNC machining, CAD/CAM applications, metrology, blueprint reading, GD&T, machine tool safety, and manufacturing processes.
  • Understanding of assessment processes for improving student success.
  • Competence in new and emerging machining technologies and instructional methods.
  • Experience working with racially minoritized students and commitment to addressing equity gaps.
  • Culturally responsive teaching experience related to machining and manufacturing.
  • Knowledge of Hispanic-Serving Institution best practices.

Example of Duties
GENERAL JOB DUTIES AND RESPONSIBILITIESPart of the teaching assignment may be online, in the evening, and/or on Saturdays. Duties and responsibilities include but are not limited to:
  • Teaching lower-division machining courses, including but not limited to machine tool processes, advanced machining, CNC operations, CAD/CAM applications, manufacturing processes, and precision measurement.
  • Advancing equitable student learning through high-quality instruction.
  • Preparing course materials, grading assignments, and maintaining student records.
  • Developing and assessing student learning outcomes and using results to improve instruction.
  • Participating in professional development and FLEX activities.
  • Maintaining appropriate professional conduct and ethics.

Special Instructions to Applicants
Applications are accepted online only at: https://www.yosemite.edu/recruitment/employmentopportunities/
Select Job Openings, Select Search Jobs, Select Job Title, Create an account and Apply to this job.
Please note: The District does not integrate with the third party service of Interfolio; therefore, reference letters must be submitted along with the application documents required.
SELECTION PROCEDURES
Only online application packets will be accepted including:
  • YCCD Administrative online application, including contact information for at least three professional references.
  • Resume
  • Personal letter of interest
  • Unofficial Transcripts

Those applicants selected for personal interview will be notified by email or phone. In accordance with Board policy official offers of employment will be made only by the Chancellor or Vice Chancellor/Human Resources, YCCD. Final appointment is subject to confirmation by the Board of Trustees.
Federal law requires the District employ only US citizens and aliens authorized to work in the United States. Written verification of employment eligibility is required.
TRANSCRIPTS: At the time an offer of assignment is made, proper salary placement is contingent upon receipt of OFFICIAL (sealed) transcripts. Instructors with advanced degrees and coursework shall be attached during the application process. An ORIGINAL of the evaluation(s) must be presented at the time of hire.
FOREIGN DEGREES: Applicants with foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association. A copy of the evaluation must be attached during the application process. An ORIGINAL of the evaluation(s) must be presented at the time of hire.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
BACKGROUND CHECK: A background investigation of new employees is required, including reference checks and a state criminal history report. Employment will not begin until the history check has been cleared by Human Resources. The cost for the criminal history report will be the responsibility of the successful candidate.
The District may hire more than one applicant from this applicant pool.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
The Yosemite Community College District is an Equal Opportunity Employer.
It is the policy of Yosemite Community College District (Modesto Junior College and Columbia College) not to discriminate on the basis of race, color, national origin, sex or disability in its educational programs and its employment practices. YCCD BP 3410 Nondiscrimination can be found at: https://www.yosemite.edu/trustees/board_policy/3410%20Nondiscrimination.pdf
Title IX Sexual Harassment regulations define Title IX Sexual Harassment to include four terms "as defined in" the Clery Act and the Violence Against Women Act (VAWA): Sexual Assault, Dating Violence, Domestic Violence, and Stalking.
In accordance with 34 C.F.R. §§ 100.6(d), 104.8, and 106.9; and 28 C.F.R. § 35.106, the following person has been designated to handle inquiries regarding Title IX, Section 504/Title II policies:
District Title IX/Civil Rights Compliance Coordinator
Yosemite Community College District
2201 Blue Gum Ave., Modesto, CA 95358
Licenses and Certificates
Posting Detail Information
Open Date
07/01/2025
Close Date
06/30/2026
Open Until Filled
No