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Machine Learning Mentor Jobs in California (NOW HIRING)

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

... machine learning models in a production environment. * Advanced proficiency in Python and its core ... Proven ability to lead technical projects and mentor other engineers. Skills: * Python. * PyTorch ...

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

... machine learning models in a production environment. Advanced proficiency in Python and its core ... Proven ability to lead technical projects and mentor other engineers. Skills: Python. PyTorch ...

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

... machine learning models in a production environment. * Advanced proficiency in Python and its core ... Proven ability to lead technical projects and mentor other engineers. Skills: * Python. * PyTorch ...

PayJoy, Inc

Machine Learning Director

San Francisco, CA · On-site

$300K - $321K/yr

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... Mentor and manage a team of Staff and Senior-level ML Engineers. Foster a culture of technical ...

Socket.dev

Machine Learning Director

San Francisco, CA · On-site

Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 ... Mentor and manage a team of Staff and Senior-level ML Engineers. Foster a culture of technical ...

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All JobsMachine Learning Mentor JobsMachine Learning Mentor Jobs in California

Machine Learning Mentor information

What is a machine learning mentor?

Machine Learning Mentors are experienced professionals who guide and support individuals learning about machine learning concepts, tools, and workflows. They provide personalized advice, help solve technical challenges, and offer career guidance in the field. Mentors can work in educational institutions, bootcamps, online platforms, or as independent consultants, tailoring their support to each learner’s needs. Their goal is to accelerate a learner’s progress and help them build practical skills for real-world applications.

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

To thrive as a Machine Learning Mentor, you need a deep understanding of machine learning algorithms, data analysis, and programming languages like Python, often supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter notebooks, and experience with cloud platforms or version control systems is typical. Outstanding communication, patience, and the ability to adapt your teaching style are crucial soft skills for effectively guiding and inspiring mentees. These skills enable mentors to convey complex concepts clearly, foster growth in learners, and ensure successful knowledge transfer.

What are the most common challenges faced by machine learning mentors when supporting learners, and how can these be navigated?

Machine Learning Mentors often encounter challenges such as addressing diverse learning backgrounds, keeping up with rapidly evolving technologies, and helping mentees bridge the gap between theory and practical application. Navigating these challenges involves tailoring guidance to individual learning styles, continuously updating personal knowledge, and providing real-world project examples. Effective communication and fostering a supportive learning environment are also key to ensuring mentee success and engagement.

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

AspectMachine Learning MentorData Scientist
Required CredentialsTypically requires experience in machine learning, teaching skills, and certifications in AI/MLRequires degrees in data science, statistics, or related fields; certifications are common
Work EnvironmentOften works in educational, training, or corporate mentorship settingsWorks in data analysis, modeling, and research within organizations
Employer & Industry UsageFound in educational institutions, online platforms, and corporate training programsEmployed in tech companies, finance, healthcare, and research institutions
Common Search & Comparison IntentPeople compare to understand mentorship roles in ML educationPeople compare to understand data analysis and modeling roles

While both roles involve machine learning, a Machine Learning Mentor primarily focuses on teaching, guiding, and mentoring others in ML concepts and techniques. In contrast, a Data Scientist applies ML methods to analyze data, build models, and generate insights within organizations.

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

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

Infographic showing various Machine Learning Mentor job openings in California as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Temporary. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Machine Learning Engineer

San Jose, CA • On-site

CYNET SYSTEMS
IT Services • 501 - 1,000 employees
Learn more about CYNET SYSTEMSexternal

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

  • 3+ years of professional experience building and deploying machine learning models in a production environment.
  • Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
  • Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
  • Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
  • Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (GCP).
  • Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Responsibilities:

  • Design, develop, and fine-tune Generative AI solutions using models like Google’s Gemini for tasks such as information extraction, document summarization, and report generation.
  • Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.
  • Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.
  • Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
  • Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI and BigQuery.
  • Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
  • Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.
  • Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning systems.
  • Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.

Nice to Have:

  • Master’s or PhD in a relevant field.
  • Specific experience with GCP services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
  • Experience building RAG systems from the ground up.
  • Proven ability to lead technical projects and mentor other engineers.

Skills:

  • Python.
  • PyTorch.
  • scikit-learn.
  • Pandas.
  • SQL.
  • Generative AI.
  • Gemini.
  • Google Cloud Platform (GCP).
  • Vertex AI.
  • BigQuery.
  • MLOps.
  • RAG systems.

Qualification And Education:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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