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Assistant Medical Imaging Machine Learning Jobs in California

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Sunnyvale, California, United States -- Machine Learning and AI Our team delivers algorithms that ... Additional benefits include comprehensive medical and dental coverage, retirement benefits, a range ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

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 ...

Mango Inc

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

... microscopy, medical imaging, or other high-resolution imaging systems • Exposure to optical ... machine learning • Familiarity with hardware/software integration Company : At Mango, we believe ...

Doist

Machine Learning Engineer

South San Francisco, CA · On-site

$212 - $318/hr

Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning ... medical, dental, and vision benefits * and wellness stipends. CA29 #LI-DNI #J-18808-Ljbffr

New

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two ... Medical history is scattered across systems that don't communicate. Physicians have minutes to ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

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 ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

Own small to medium components of machine learning systems from technical designthrough ... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Own small to medium components of machine learning systems from technical designthrough ... medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... 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 ...

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

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Autonomy Engineer

Remedy Robotics, Inc

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago

Job description

About Remedy Robotics
Remedy Robotics is a medical technology company developing robotic systems for endovascular intervention. Its proprietary technology combines robotics, machine learning, and advanced computer vision to help physicians perform highly precise endovascular procedures and expand access to life-saving stroke and cardiovascular care. Initially focused on neurovascular intervention, Remedy is addressing the limited availability of specialized treatment for time-critical cardiovascular emergencies, with the long-term goal of enabling expert intervention regardless of patient location. Headquartered in San Francisco, Remedy is backed by DCVC, Blackbird, and Tony Fadell's Build Collective, among others.
The Role
We're looking for an interdisciplinary engineer and researcher to lead the development of autonomy and intelligence for the DARPA MASH (Medics Autonomously Stopping Hemorrhage) program. The goal of MASH is to enable autonomous robotic systems to rapidly control internal bleeding in environments where immediate access to expert surgical care is impossible.
This role sits at the intersection of robotics, machine learning, simulation, and medical imaging. You will work across the full stack of autonomy-from perception and scene understanding to planning, control, and deployment on real robotic systems. You will leverage large-scale datasets to train and evaluate deep learning models that enable robots to understand anatomy, reason about intervention strategies, and safely operate a robot in highly constrained human vasculatures. This role is primarily focused on machine learning, but is interdisciplinary and will also involve simulation, medical imaging, and robotics.
You will collaborate closely with other machine learning engineers, roboticists, and clinicians to rapidly prototype, test, and deploy. The ideal candidate is excited by challenging, open-ended technical problems and highly motivated by our ultimate mission: to save lives.
You Have
  • One of
    • Bachelor's degree with 4+ years of relevant industry experience
    • Master's degree with 2+ years of relevant industry experience
    • PhD and 0+ years of industry experience
  • Expertise with Python
  • Experience training image-based deep neural networks, including
    • Deep neural network libraries such as PyTorch
    • Defining training and validation datasets
    • Using data augmentations during training
    • Selecting loss functions and metrics
    • Cloud-based data and training
    • Conducting large-scale experiments to determine actionable improvements
  • Experience with simulators, such as MuJoCo or Isaac
  • Experience developing high-quality software, ranging from design and implementation to testing and deployment
  • Eagerness to learn on the job, iterate fast, and collaborate

Nice to Haves
  • Experience with robotics
    • software, such as ROS2
    • algorithms, such as motion planning
    • math, such as transforms
  • Experience with medical imaging data such as x-rays, CTs, and MRIs
  • Experience bridging the sim-to-real gap

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