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Machine Learning Trainee Jobs in Hayward, CA (NOW HIRING)

#62 Seafood Supervisor

Fremont, CA · On-site

$18 - $20/hr

... trainee's prior experience and performance and learning progress during the Management Training ... Maintenance - Maintain and clean equipment, machines, and appliances regularly to ensure freshness ...

EPG Technical Trainer

San Leandro, CA · On-site

$36.75 - $49/hr

This position champions a continuous learning environment for all Peterson business units ... Administers written and practical exams and writes performance reports to evaluate trainees ...

EPG Technical Trainer

San Leandro, CA · On-site

$36.75 - $49/hr

This position champions a continuous learning environment for all Peterson business units ... Administers written and practical exams and writes performance reports to evaluate trainees ...

Administers written and practical exams and writes performance reports to evaluate trainees ... Conduct learning needs assessments to identify individual, departmental, divisional and ...

Administers written and practical exams and writes performance reports to evaluate trainees ... Conduct learning needs assessments to identify individual, departmental, divisional and ...

Showing results 21-26

Machine Learning Trainee information

See Hayward, CA salary details

$23.3K

$118.9K

$232.2K

How much do machine learning trainee jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning trainee in Hayward, CA is $118,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,818.00 and $169,238.00 per year, depending on experience, location, and employer.

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

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

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

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

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

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

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

What are popular job titles related to Machine Learning Trainee jobs in Hayward, CA?

For Machine Learning Trainee jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Trainee jobs in Hayward, CA look for?

The top searched job categories for Machine Learning Trainee jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Machine Learning Trainee jobs?

Cities near Hayward, CA with the most Machine Learning Trainee job openings:

Infographic showing various Machine Learning Trainee job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,898 per year, or $57.2 per hour.

Production Associate Training - Richmond, California

Greenforce Training Inc

Discovery Bay, CA • On-site

$16.75 - $21.25/hr

Contractor

Posted 29 days ago


Job description

Production Associate Training ProgramOverview:

The Production Associate Training Program is designed to provide trainees with the essential skills, knowledge, and practical experience to excel in a fast-paced production environment. The program focuses on developing technical abilities, workplace safety awareness, operational efficiency, and professional employment standards to ensure consistent and high-quality output.

________________________________________

Program Objectives:By the end of this training program, participants will:
    1. Understand the roles, responsibilities, and expectations of a Production Associate.
    2. Learn and follow workplace safety protocols, including equipment operation and emergency procedures.
    3. Understand the use of production tools, machinery, and technology specific to the job.
    4. Develop skills to monitor quality control and maintain production standards.
    5. Enhance time management, teamwork, and communication skills to work efficiently in a production team.

________________________________________

Key Training Components:
    1.Orientation & Onboarding
  • Clean Energy & Manufacturing industry overview, mission, and values oIntroduction to workplace policies and procedures
  • Facility tour and safety guidelines
    1. 2.Workplace Safety
  • OSHA standards and safety compliance oPersonal Protective Equipment (PPE) training
  • Lockout Tagout
  • Ergonomics
    1. 3.Production Skills Development
  • Hands-on training with production equipment oStandard Operating Procedures (SOPs) for assembly, packaging, and quality checks
  • Troubleshooting equipment and process issues
  • Lean 5s
    1. 4.Quality Control & Assurance
  • Learning quality inspection tools and techniques
  • Maintaining compliance with production standards
    1. 5.Soft Skills Training
  • Clean Energy & manufacturing industry professional standards oCommunication and teamwork in a production setting
  • Time management oProblem-solving and adaptability
  • Conflict Management
  • Financial & Benefits Literacy
  • ________________________________________

    Duration:

    10 Days

    Dates:

    September 21, 2026

    October 2, 2026

    ________________________________________

    Target Audience:

    Individuals transitioning into production roles and individuals from underserved communities looking to gain access to clean energy and the manufacturing industry.

    ________________________________________

    Assessment and Certification:
  • Participants will be assessed through practical demonstrations, knowledge tests, and instructor evaluations.
  • A certificate of completion will be awarded upon successfully meeting all program objectives.