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Medical Machine Learning Jobs in California (NOW HIRING)

Augment CXM

Machine Learning Lead

San Francisco, CA

Machine Learning Lead Augment CXM is defining a new category of software - customer experience ... Team members are provided a comprehensive health benefits package with medical, dental, and vision ...

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Comprehensive medical, dental, and vision coverage. * Retirement Plans: Access to a 401(k) plan.

RADAR

Machine Learning Engineer

Sunnyvale, CA · Hybrid

$140K - $220K/yr

ABOUT THE JOB We are looking for a Machine Learning Engineer to help build and develop our ML ... You will also be eligible to receive other benefits including: equity, comprehensive medical and ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier ... Develop deep learning models for prototyping and production purposes according to product feature ...

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Medical Machine Learning information

What are the key skills and qualifications needed to thrive in the Medical Machine Learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What is a Medical Machine Learning job?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

Is ML a high paying job?

Medical machine learning professionals typically earn higher salaries compared to many other healthcare roles due to specialized skills in data analysis, programming, and understanding medical data. Salaries vary based on experience, education, and location, but advanced roles in this field often offer competitive compensation, especially for those with expertise in deep learning and relevant tools like Python and TensorFlow.

Which 3 jobs will survive AI?

In the field of medical machine learning, roles such as data scientists, clinical informaticists, and AI specialists are likely to persist as they require complex problem-solving, domain expertise, and oversight of AI systems. These jobs involve interpreting data, ensuring ethical use, and integrating AI tools into healthcare, which are less susceptible to automation. Continuous learning and certification in AI and healthcare regulations enhance job security in this area.

What does machine learning do in healthcare?

In healthcare, machine learning is used by professionals to analyze large datasets, improve diagnostic accuracy, and develop predictive models for patient outcomes. Medical machine learning specialists often work with algorithms, programming languages like Python, and medical data to enhance treatment plans and operational efficiency.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often in the tech or healthcare sectors. These positions usually require advanced skills in programming, data analysis, and experience with AI frameworks, and may include bonuses or stock options that contribute to total compensation.

What types of teams do Medical Machine Learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the most commonly searched types of Medical Machine Learning jobs in California? The most popular types of Medical Machine Learning jobs in California are:
What are popular job titles related to Medical Machine Learning jobs in California? For Medical Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning jobs in California look for? The top searched job categories for Medical Machine Learning jobs in California are:
Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in California as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Machine Learning Engineer, Level 4

Machine Learning Engineer, Level 4

Snap

Los Angeles, CA

Other

Medical

Posted 18 days ago

Job description

Snap Inc (https://www.snap.com/en-US/) is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat (https://www.snapchat.com/) , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio) , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/) .

Snap Engineering (https://eng.snap.com/) teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We're deeply committed to the well-being of everyone in our global community, which is why our values (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We're looking for a Machine Learning Engineer to join Snap Inc!

What you'll do:

  • Build and deploy machine learning models that power core products, serving millions of Snapchatters

  • Apply modern ML techniques to solve large-scale, real-world problems

  • Own the full ML lifecycle from data analysis to production deployment

  • Partner with cross-functional teams to prototype and launch ML-driven features

  • Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production

Knowledge, Skills & Abilities:

  • Strong understanding of machine learning approaches and algorithms

  • Able to prioritize duties and work well on your own

  • Ability to work with both internal and external partners

  • Skilled at solving open ambiguous problems

  • Strong collaboration and mentorship skills

  • Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks

  • Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices

Minimum Qualifications:

  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

  • 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field

  • Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

  • Advanced degree in computer science or related field

  • Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

  • Experience working with machine learning, ranking infrastructures, and system design

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits (http://careers.snap.com/benefits) : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) (https://careers.snap.com/us-payzones) :

The base salary range for this position is $173,000-$259,000 annually.

Zone B (https://careers.snap.com/us-payzones) :

The base salary range for this position is $164,000-$246,000 annually.

Zone C (https://careers.snap.com/us-payzones) :

The base salary range for this position is $147,000-$220,000 annually.

This position is eligible for equity in the form of RSUs.

A Decade of Snap (https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp) : Learn about our origin story, values, mission, culture of innovation, and more.

CitizenSnap (https://citizen.snap.com/) : In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.

The DEI Innovation Summit (https://actreport.com/dei-innovation-summit-2022/) : Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.

Snap News (https://newsroom.snap.com/) : Stay up to date on the latest and greatest product and innovation news at Snap

Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf)

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