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

Pape Machinery Inc C&F

Technician Trainee

Fremont, CA · On-site

$29.79 - $48.74/hr

PAPE' MACHINERY, INC. - CONSTRUCTION & FORESTRY DIVISION - FREMONT, CA TECHNICIAN TRAINEE : Do you ... your role and continued learning to grow your skills. The Pape' Group maintains a drug-free ...

Stanford University

Staff Scientist

Stanford, CA · On-site

... mentoring trainees in the lab. Responsibilities : • Propose, conceptualize, design, implement ... machine learning • Bachelor's degree and five years of relevant experience, or a combination of ...

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

... machine learning, and experience in working with Cosmos, MarketScan, and CMS claims data. Duties ... junior analysts, and trainees in medicine, economics, and public health studies Constructing ...

Stanfordlivetickets

Biostatistician 2

Palo Alto, CA · On-site

$115 - $134/hr

... machine learning, and experience in working with Cosmos, MarketScan, and CMS claims data. Duties ... Mentoring and teaching students, junior analysts, and trainees in medicine, economics, and public ...

New

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

... machine learning, and experience in working with Cosmos, MarketScan, and CMS claims data. Duties ... and trainees in medicine, economics, and public health studies • Constructing complex data ...

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All JobsMachine Learning JobsMachine Learning Trainee JobsMachine Learning Trainee Jobs in Hayward, CA

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 3, 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:

Machine Learning Trainee jobs near you
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.

Basic Life Research Scientist (1 Year Fixed Term)

Stanford University

Stanford, CA • On-site

Full-time

Re-posted 29 days ago

Stanford University rating

7.9

Company rating: 7.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

213th of 628 rated colleges and universities

Job description

Job Summary:
Stanford University’s School of Medicine is seeking a Basic Life Research Scientist to join the Aghaeepour Lab, which focuses on developing machine learning methods in clinical medicine. The role involves leading research projects, mentoring trainees, and collaborating with interdisciplinary teams to improve outcomes in acute care settings.
Responsibilities:
• Contribute to and/or lead research projects involving machine learning and clinical data integration
• Develop, implement, and evaluate AI/ML models using large-scale biomedical datasets
• Provide technical mentorship and guidance to trainees
• Contribute to manuscript preparation, review, and scientific dissemination
• Collaborate with clinicians, data scientists, and external partners
• Help maintain high standards of rigor, reproducibility, and code quality
• other duties may also be assigned
Qualifications:
Required:
• Ph.D. in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related quantitative field
• Experience in machine learning, deep learning, or AI applied to real-world datasets
• Strong programming skills (e.g., Python, PyTorch, TensorFlow)
Preferred:
• Experience working with biomedical or clinical data (e.g., EHRs, physiological signals, omics)
• Strong publication record or demonstrated research productivity
• Ability to work in interdisciplinary teams spanning clinical and computational domains
• Experience in areas such as time series modeling, multimodal learning, or causal inference
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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