Remedy Robotics
Medical
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Remedy Robotics. Skills: Machine learning, Robotics, Deep learning, Simulation, Medical imaging, Autonomy. Work across the full stack of autonomy—from perception and scene understanding to planning, control, and deployment on real robotic systems. Leverage large-scale simulated and real-world datasets to train and evaluate deep learning models”
What You'll Achieve.
Building autonomous systems capable of delivering life-saving interventions when and where human specialists are unavailable
Industry & Context.
Hard, open-ended technical problems
What They're Looking For.
Must Have
Bachelor’s degree and 4+ years experience, Master’s degree and 2+ years experience, PhD and 0+ years experience, Expertise with Python, Experience training image-based deep neural networks, 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 robotics - software, such as ROS, Experience with robotics - algorithms, such as motion planning, Experience with robotics - math, such as transforms, Experience with simulators, such as MuJoCo or Isaac, Experience developing high-quality software, ranging from design and implementation to testing and deployment
Nice to Have
Experience with medical imaging data such as x-rays, CTs, and MRIs, Experience bridging the sim-to-real gap, Experience with reinforcement learning
What You'll Do.
Work across the full stack of autonomy—from perception and scene understanding to planning
and deployment on real robotic systems
Leverage large-scale simulated and real-world datasets to train and evaluate deep learning models
Enable robots to understand anatomy
reason about intervention strategies
and safely operate in highly constrained environments
and deploy new capabilities
How You'll Work.
Team & Collaboration
Collaborate closely with roboticists, machine learning engineers, clinicians, and hardware teams
Full Job Description
ABOUT REMEDY ROBOTICS Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can only be performed in 2% of US hospitals. For patients who present to one of the 98% of hospitals that do not offer the surgery, treatment is either significantly delayed or not offered at all because timely transfer is not feasible. Our mission is to bring state-of-the-art vascular intervention to anyone, anytime, regardless of their location. Our team of medical clinicians, roboticists, and machine learning experts are working to bridge this gap by building the world’s first remotely-operated, semi-autonomous endovascular surgical robot. We’ve already done what nobody else could—using our system, doctors from around the world were able to remotely perform this procedure from as far as 8000 miles away. We have now successfully performed first-in-human cases, including a remotely operated procedure, demonstrating the potential of our technology to revolutionize access to life-saving interventions. We now need your help to bring this technology out of the laboratory and into hospitals everywhere. THE ROLE We’re looking for an interdisciplinary engineer who 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’ll leverage large-scale simulated and real-world datasets to train and evaluate deep learning models that enable robots to understand anatomy, reason about intervention strategies, and safely operate in highly constrained environments. You will collaborate closely with roboticists, machine learning engineers, clinicians, and hardware t
Applying for this Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Remedy Robotics?
Real rants from real employees. Read before you apply.