1

Medical Machine Learning Jobs in California (NOW HIRING)

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Medical, dental, vision, and life insurance plans for employees * 401k * Relocation support may be ...

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

The machine learning models will drive rapid design iterations by assessing potential risks and ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

The machine learning models will drive rapid design iterations by assessing potential risks and ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Machine Learning Engineers

San Jose, CA · On-site

$136K - $280K/yr

Tiktok Machine Learning Engineer (Search) - E-commerce - San JoseSan JoseRegularR DJob ID: A162279 ... We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Machine Learning Engineer - LLM Imagine what you could do here. At Apple, new ideas have a way of ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

next page

Showing results 1-20

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 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:
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

Hadrian

Los Angeles, CA

$160K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Hadrian - Manufacturing the Future

Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.

We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.

Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.

The Role

Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.

We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.

What You'll Do
  • Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
  • Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
  • Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
  • Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
What We're Looking For
  • Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
  • 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
  • Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
What Sets You Apart
  • A Master's Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
  • Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
  • Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
  • Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
  • Prior experience with distributed training using cloud infrastructure
  • Prior experience with visual document understanding and layout analysis
  • Published research or achieved SOA results on an ML application
  • Prior experience with multi-modal deep learning models
  • You have a passion for manufacturing and believe that the industry needs better software
  • Prior experience working in a startup environment

Compensation

For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).

This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Benefits for Full-time Employees
  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy

ITAR Requirements

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Hadrian Is An Equal Opportunity Employer

It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.