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Associate Machine Learning Jobs in California (NOW HIRING)

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. Model Training and Evaluation: * Initiate model training processes using internal tools and command-line ...

AEG Presents

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning initiatives across AEG Presents. This role assists with analyzing structured and unstructured data ...

AEG Worldwide

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning initiatives across AEG Presents. This role assists with analyzing structured and unstructured data ...

AEG Worldwide

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Job Summary The Associate Data Scientist supports analytics, forecasting, and machine learning initiatives across AEG Presents. This role assists with analyzing structured and unstructured data ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

Members of the Data Science team prototype and build complex Machine Learning solutions, improve ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

Quantifind

Associate Data Scientist

Palo Alto, CA · On-site

$69K - $69K/yr

Members of the Data Science team prototype and build complex Machine Learning solutions, improve ... Associate Data Scientist position on our Data Science team in Palo Alto, California. Our ...

Howard

Assistant/Associate Professor

Seeley, CA

We are seeking to hire an Assistant/Associate Professor. The Department of Pediatrics and Child ... Apply machine learning models to analyze and interpret complex environmental and health data, with ...

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Showing results 41-60

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in California

Associate Machine Learning information

See California salary details

$24.9K

$130.9K

$321.1K

How much do associate machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for associate machine learning in California is $130,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $181,500.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What cities in California are hiring for Associate Machine Learning jobs?

Cities in California with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Associate or Full Professor (Tenured): Artificial Intelligence & Machine Learning

UC San Diego

San Diego, CA • On-site

$162K - $265K/yr

Other

Re-posted 19 days ago

Job description

Position overview Position title: Professor of Data Science
Salary range: A reasonable salary range estimate for this tenure-level position is $162,800-$265,000. The UC Academic salary scale sets the minimum pay as determined by rank and/or step at appointment. The base salary range for this position is $128,800-$232,100, based on the current salary scale: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/policy-covered-october-2025-scales/t3.pdf "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. Additional UCSD salary information can be found here: https://aps.ucsd.edu/compensation/apo-salary.html#off-scale-and-above-scale-salary
Application Window

Open date: January 29, 2026

Most recent review date: Sunday, Mar 1, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Sep 30, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The University of California, San Diego invites applications for a tenured faculty appointment based in the Halcolu Data Science Institute, the academic unit of the newly formed School of Computing, Information and Data Sciences. We seek outstanding candidates from ALL areas of Artificial Intelligence and Machine Learning as represented within HDSI's research scope, including but not limited to:

1) Computer Vision
2) AI for Science
3) Emerging Technologies for AI (such as Quantum Computing)

All candidates are expected to establish a rigorous program of high-quality, federally-funded research that focuses on innovations in one of the targeted search areas. This position involves teaching university students. The successful applicant(s) will be expected to teach at both the graduate and undergraduate levels in support of the Data Science major/minor degree and other programs offered by the Institute.

Appointment will be at either the Associate or Full Professor rank, with tenure. The level of appointment for the successful candidate(s) will be based on the candidate's background and experience. The following link to the full description of the Ladder Rank Professor series is provided for your review:

http://www.ucop.edu/academic-personnel-programs/_files/apm/apm-220.pdf

Department: https://datascience.ucsd.edu/

School: https://scids.ucsd.edu/

Qualifications
Basic qualifications (required at time of application)

*PhD or equivalent degree in Data Science, Computer Science, Mathematics/Statistics, or a related field.

*Evidence of independent scholarly impact and research productivity.

*Evidence of and/or demonstrated ability to teach and advise students.

Application Requirements
Document requirements

  • Cover Letter

  • Curriculum Vitae - Your most recently updated C.V.

  • Statement of Research

  • Statement of Teaching

  • Teaching Evaluations (Optional)

Reference requirements
  • 3-5 required (contact information only)

References: contact information required at time of application; letters of support requested only at the finalist stage.

Apply link: https://apol-recruit.ucsd.edu/JPF04442

Help contact: d1dutson@ucsd.edu

About UC San Diego

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California prohibits smoking and tobacco use at all of its university-controlled properties.

The UC San Diego Annual Security & Fire Safety Report is available online at:https://www.police.ucsd.edu/docs/annualclery.pdf. This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Click for more information on Assembly Bill-810
Click for more information on Senate Bill-791

* "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
* UC Sexual Violence and Sexual Harassment Policy: [https://policy.ucop.edu/doc/4000385/SVSH]
* UC Anti-Discrimination Policy for Employees, Students and Third Parties: [https://policy.ucop.edu/doc/1001004/Anti-Discrimination]

Job location
San Diego

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