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Machine Learning Mentor Jobs in California (NOW HIRING)

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship * Participate in products technical design and architecture * Participate ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship * Participate in products technical design and architecture * Participate ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

... mentorship to junior engineers. • Publish research findings, present at conferences, and ... machine learning, with a focus on edge AI and lightweight model deployment. • Expertise in ML ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Oversee the activities of other personnel, providing informal mentoring and guidance to less ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Oversee the activities of other personnel, providing informal mentoring and guidance to less ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

Oversee the activities of other personnel, providing informal mentoring and guidance to less ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$500 - $5.0K/wk

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ... We run a structured onboarding programme for junior hires including a dedicated mentor, a 90-day ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

$150K - $277K/yr

Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact ... Machine Learning, Information Retrieval, Data Science or related field or equivalent work ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you ... Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you ... Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that ...

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused ... Mentorship from researchers working on frontier voice AI * Every tool you need to succeed

Apple

Machine Learning Evaluation Engineer

Sunnyvale, CA

$150K - $277K/yr

Experience mentoring engineers or providing technical leadership for complex evaluation initiatives ... Strong background in machine learning and computer vision, including classical ML and statistical ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of learning ... Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

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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 Manager

San Francisco, CA • On-site

Hive
See more jobs at Hiveexternal

$180K - $250K/yr

Full-time

Re-posted 14 days ago

Job description

About Hive 

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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