Machine Learning Engineer

About Radformation
Radformation is transforming the way cancer clinics deliver care. Our innovative software automates and standardizes radiation oncology workflows, enabling clinicians to plan and deliver treatments faster, safer, and more consistently, so patients everywhere can receive the same high-quality care.

Our software focuses on three key areas:

• Time savings through automation
• Error reduction through automated systems
• Increased quality care through advanced algorithms and workflows
  
  
  
  

We are a fully remote, mission-driven team united by a shared goal: to reduce cancer’s global impact and help save more of the 10 million lives it claims each year. Every line of code, every product release, and every conversation with our customers brings us closer to ensuring no patient’s treatment quality depends on where they live.

Why This Role Matters
In this role you will design and implement machine learning models that power Radformation’s efficiency and automation software for cancer clinics. You will build and test AI models, maintain data ETL pipelines, and support regulatory submissions. By improving automation and clinical workflows, you will help ensure patients receive safer, faster, and more consistent cancer treatments.

Responsibilities Include

• Write and maintain ETL pipelines for clinical and imaging data
• Build, train, and test machine learning models to support oncology workflows
• Support FDA submissions by contributing to documentation and testing
• Participate in design reviews, risk and hazard analyses, and other formal processes
• Collaborate with the cloud team to troubleshoot deployed systems
• Work closely with the AI team to address model issues and propose improvements
• Attend daily stand-ups and related project meetings
  
  
  
  

Required Experience

• BS in computer science, mathematics, statistics, or related field with 3+ years of experience, or MS with 1+ years of experience
• Expert programming skills in Python
• Experience with other high-level languages such as C#, C++, or Java (desirable)
• Fluent with PyTorch and TensorFlow
• Hands-on experience with building, training, and tuning machine learning models
• Experience building convolutional neural networks (CNNs), particularly U-Net
• Proficient with code repositories such as Bitbucket, GitHub, or Azure DevOps
• Strong knowledge of Git for version control
  
  
  
  

Preferred Experience

• Image processing techniques including resampling, smoothing, and segmentation
• Clinical programming experience with HL7 or DICOM
• Familiarity with HIPAA and medical device regulations in software development
  
  
  
  

Who You Are

• You are a clear communicator and believe the team succeeds or fails together
• You are highly motivated with strong attention to detail
• You are adaptable and thrive in a fast-paced, evolving environment
• You take ownership of your work and have strong prioritization skills
• You are committed to improving the patient experience
  
  
  
  

AI & Hiring Integrity
At Radformation we believe in getting to know the real you. We ask that all interviews and assessments be completed without tools that generate answers in real time, to help ensure a fair and authentic hiring process.

Benefits & Perks — What Makes Us RAD
We care about our people as much as we care about our mission. The salary range for this role will be 130,000 - 185,000 USD commensurate with experience, plus bonus eligibility.

Benefits include:

• High-quality medical plan options with premiums covered for employees (subsidized for dependents)
• Health coverage starting on day one, plus short- and long-term disability and life insurance
• 401(k) with immediate employer match
• Annual reimbursement for professional development
• Self-managed PTO, 10 paid holidays, monthly internet stipend, and home office setup allowance
• Fully remote work environment with virtual events and yearly retreats
  
  
  
  

Our Commitment to Diversity
Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity employer and we are committed to fostering an inclusive environment where all employees feel supported and valued.

Agency & Candidate Safety Notice
Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. All legitimate communication from Radformation will come from an @radformation.com email address.