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Machine Learning Trainee Jobs in California (NOW HIRING)

Beverly Pathology

Hematopathologist

Los Angeles, CA · On-site

... machine learning applications in flow cytometry. The successful candidate should possess strong ... trainees; development of scholarly activity in an area of interest; and mission-relevant ...

Penske

Maintenance Manager Trainee

La Mirada, CA · On-site

As a MMT at Penske, you are trusted to work independently while learning from your peers and future ... PPE, machine guarding, and established best safety practice. • Regular, predictable, full ...

Penske

Maintenance Manager Trainee

Ontario, CA · On-site

As a MMT at Penske, you are trusted to work independently while learning from your peers and future ... PPE, machine guarding, and established best safety practice. • Regular, predictable, full ...

Aerotek

CNC Operator

Ventura, CA

$17 - $18/hr

Experience reading or learning to read blueprints or technical drawings. * Previous exposure to CNC mills or other machining equipment, even in a trainee or helper capacity. * Interest in developing ...

Cambro

Maintenance Tech Trainee I

Huntington Beach, CA · On-site

Works with other mechanics and trains on how to service and repair machines and equipment and learn troubleshooting skills. Follows learning plan and achieves milestones in course completion and ...

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All JobsMachine Learning JobsMachine Learning Trainee JobsMachine Learning Trainee Jobs in California

Machine Learning Trainee information

See California salary details

$21.1K

$107.3K

$209.6K

How much do machine learning trainee jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning trainee in California is $107,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,065.00 and $152,759.00 per year, depending on experience, location, and employer.

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 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 key skills and qualifications needed to thrive as a Machine Learning Trainee, and why are they important?

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 are Machine Learning Trainees?

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 are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Machine Learning Trainee jobs in California? For Machine Learning Trainee jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Trainee jobs in California look for? The top searched job categories for Machine Learning Trainee jobs in California are:
What cities in California are hiring for Machine Learning Trainee jobs? Cities in California with the most Machine Learning Trainee job openings:
Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in California as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $107,321 per year, or $51.6 per hour.

Hematopathologist

Beverly Pathology

Los Angeles, CA • On-site

Full-time

Posted 11 days ago

Job description

HEMATOPATHOLOGIST FACULTY MEMBER JOB DESCRIPTION
The Department of Pathology and Laboratory Medicine at Cedars-Sinai Medical Center invites applications for a Board Certified/Board Eligible Hematopathologist at the Assistant, Associate, or Professor level. Applicants must be eligible for a California medical license.
The Department of Pathology and Laboratory Medicine is an academic department consisting of divisions of Anatomic, Clinical, Translational, and Experimental Pathology, with 55 faculty members overseeing a clinical operation of more than 9 million laboratory tests and approximately 75,000 surgical pathology cases annually. The department supports a robust educational mission with 25 residents and fellows, including accredited hematopathology, molecular genetic pathology, surgical pathology, and clinical pathology fellowship programs. Cedars-Sinai Medical Center faculty are deeply committed to graduate medical education, translational research, innovation, and multidisciplinary clinical care and are part of one of the nation's leading academic healthcare systems with 92 ACGME-accredited GME programs. Faculty members participate broadly in institutional leadership, multidisciplinary tumor boards, clinical and translational research initiatives, pathology informatics efforts, and national professional organizations.
Cedars-Sinai Medical Center is a 900-bed quaternary referral center and Level I trauma center located at the junction of West Hollywood and Beverly Hills. Cedars-Sinai is the largest private not-for-profit healthcare provider on the West Coast, serving more than 9 million people across Los Angeles County and the surrounding region. The institution is nationally recognized for excellence in patient care, biomedical research, precision medicine, and innovation in healthcare delivery.
Beverly Pathology is an independently contracted private pathology group within the Cedars-Sinai Health System Foundation that provides exclusive pathology services to Cedars-Sinai Medical Center and Cedars-Sinai Marina del Rey Hospital. The Hematopathology Division is a highly collaborative and rapidly evolving academic subspecialty practice with a strong commitment to clinical excellence, education, innovation, and translational research. The division has recently expanded through strategic faculty recruitment encompassing expertise in clinical hematopathology, pediatric hematopathology, molecular diagnostics, physician-scientist research, medical education, and laboratory operations.
The hematopathology service provides comprehensive diagnostic evaluation of a broad spectrum of benign and malignant hematologic disorders and supports large oncology and cellular therapy programs, including active stem cell transplantation and CAR-T therapy services. Hematopathology operates with state-of-the-art facilities and advanced integrated diagnostics, including 5-laser spectral flow cytometry platforms, an expansive immunohistochemistry menu, comprehensive molecular and cytogenetic testing capabilities, broad next-generation sequencing panels, quantitative PCR testing, fluorescence in situ hybridization (FISH), conventional karyotyping, and a broad menu of specialty coagulation testing with pathologist-interpreted integrated reports. The division is actively engaged in implementation of integrated digital and informatics-based workflows, including large-scale Epic Beaker deployment and emerging machine learning applications in flow cytometry.
The successful candidate should possess strong diagnostic expertise in hematopathology and will join an experienced and collegial team practice. Responsibilities include sign-out of a broad array of hematopathology specimens, including bone marrow biopsies, lymph nodes, extranodal lymphoma evaluations, flow cytometry, peripheral blood smear review, and coagulation panel interpretation; participation in multidisciplinary conferences and tumor boards; teaching of residents, fellows, medical students, and laboratory trainees; development of scholarly activity in an area of interest; and mission-relevant administrative and institutional service activities that contribute to continued growth of the division, department, and institution. Opportunities exist for candidates interested in translational research, pathology informatics, digital pathology, educational innovation, and clinical operations leadership.

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