ZipRecruiter

Log In

1

Head Of Machine Learning Jobs in California (NOW HIRING)

MyOme

Machine Learning Scientist

San Francisco, CA · On-site

You will report to the head of research and development utilizing a world-class computational R&D ... You will lead efforts to build machine learning models that predict disease from whole genome ...

Syntricate Technologies

Machine Learning

Cupertino, CA · On-site

Responsibilities : • 12+ years of experience in Client Engineering with experience in NLP Experience in deploying Client models • Strong understanding of machine learning principles, especially ...

Neara

Head of AI (Menlo Park)

Menlo Park, CA · On-site

As the Head of AI, you will be responsible for designing, implementing, and maintaining a ... The ideal candidate will have a deep understanding of AI and machine learning concepts, as well as ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks ...

Overjet

Head of Regulatory

San Mateo, CA · On-site

$170K - $225K/yr

The Role Overjet is looking for a Head of Regulatory to own the critical regulatory function at a ... As a key member of the Engineering team, reporting to our VP of Machine Learning & Compliance. This ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

Job Summary General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics ... We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

Umba

... solve head-scratching challenges * Excellent understanding of machine learning techniques and ... algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... Machine Learning Manager In order to execute our vision, we're constantly growing our machine ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks ...

Umba

Machine Learning Lead

San Francisco, CA · On-site

... solve head-scratching challenges * Excellent understanding of machine learning techniques and ... algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. * Experience with common data ...

Quizlet, Inc

Head of Learning Experience

San Francisco, CA · On-site

$216K - $283K/yr

We blend cognitive science with machine learning to personalize and enhance the learning experience ... As the Head of Learning Experience, you will own the overarching vision, strategy, and execution ...

previous pagenext page

Showing results 21-40

All JobsHead Of Machine Learning JobsHead Of Machine Learning Jobs in California

Head Of Machine Learning information

See California salary details

$24.2K

$63K

$107.6K

How much do head of machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for head of machine learning in California is $63,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $74,000.00 per year, depending on experience, location, and employer.

What does a head of machine learning do?

A Head of Machine Learning leads the development and implementation of machine learning strategies within an organization. They oversee data science teams, manage AI-driven projects, and ensure models are scalable and aligned with business needs. This role requires expertise in machine learning, software engineering, and leadership to drive innovation and improve decision-making through data.

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

To thrive as a Head Of Machine Learning, you need deep expertise in machine learning algorithms, statistical modeling, and data analysis, usually supported by an advanced degree in computer science or a related field. Familiarity with Python, TensorFlow, PyTorch, cloud computing platforms, and relevant certifications (like AWS Certified Machine Learning) is highly beneficial. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective team management and cross-departmental collaboration. These skills are crucial to drive innovation, deliver impactful projects, and steer organizational AI strategies successfully.

What are some typical challenges faced by a head of machine learning, and how can I prepare for them?

As a Head Of Machine Learning, you’ll often face challenges such as aligning machine learning initiatives with business objectives, managing a diverse technical team, and ensuring the scalability and reliability of solutions. Preparing for these involves staying updated on the latest AI trends, developing strong project management skills, and fostering a culture of knowledge sharing within your team. Additionally, you may need to bridge communication gaps between technical staff and non-technical stakeholders, so clear communication is vital. By proactively addressing these areas, you’ll be better equipped to lead successful machine learning operations and drive significant business value.

Is a Head of Machine Learning a high paying job?

A Head of Machine Learning is typically a high-paying role due to its seniority and specialized expertise in AI, data science, and leadership. Salaries often reflect experience, industry, and company size, with many earning well above average tech salaries, especially in competitive markets.

What are popular job titles related to Head Of Machine Learning jobs in California?

For Head Of Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Head Of Machine Learning jobs in California look for?

The top searched job categories for Head Of Machine Learning jobs in California are:

What cities in California are hiring for Head Of Machine Learning jobs?

Cities in California with the most Head Of Machine Learning job openings:

Head Of Machine Learning jobs near you
Infographic showing various Head Of Machine Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $63,025 per year, or $30.3 per hour.

Machine Learning Scientist

San Francisco, CA • On-site

MyOme
Biotechnology Research and Development • 11 - 50 employees
Learn more about MyOmeexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

MyOme builds methods and develops products to help families better understand their risks for inherited diseases. We aim to build the platform that enables customers to receive a lifetime of on-demand health insights from a single sample including cardiac, diabetes, and cancer risk, and response to certain medications, and to allow them to use and share these data however they choose.

Description

MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of research and development utilizing a world-class computational R&D environment to build cutting edge models predicting disease risk from whole genome sequence data. 

Key Responsibilities

  • You will lead efforts to build machine learning models that predict disease from whole genome sequence data

  • Work with our excellent engineering team in deploying ML models that help patients get the most from their genetic data 

  • Contribute to a supportive atmosphere of collective learning and development.

  • As a well-rounded generalist, be interested in our mission and committed to its success.

Skills and Experience

  • A PhD is strongly encouraged, but If you have exceptional applied experience and  can do the work well and humbly, we want to talk 

  • Expertise in the theory and practice of building deep neural networks, preferably on large genetic datasets

  • Experience with PyTorch, JAX, TensorFlow or equivalent machine learning framework.

  • Ability to communicate complex concepts to people outside of your field

  • Ability to thrive in a nimble start-up environment with changing priorities.

  • Background in statistical genetics a plus

Why Work at MyOme?

  • You want to help people in your life and the rest of the planet by contributing to the development of cutting edge healthcare products leveraging the latest technologies and methods

  • You like the fast paced, dynamic environment of an early stage company

  • You like thinking outside the box, confronting challenges head on, working together with other smart, passionate people who will constantly challenge you

  • You want to learn from a team that has successfully built leading companies in healthcare (Natera, Invitae, Ciitizen) and have the backing of world-class investors (Sequoia Capital, Foresite Capital, Founders Fund)

  • You like companies that provide benefits for you and your family (health, dental and vision insurance, 401K), including the ability to participate in our equity plan

  • Salary range: 130k - 200k annually

MyOme logo

About MyOme

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017

View All MyOme Jobs

Apply