Machine Learning Engineer

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.

• 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.

In this role you will help advance Radformation’s AI-driven radiotherapy products by building and improving machine learning models that directly impact clinical workflows and patient outcomes.

You will work closely with AI, cloud, research, and product teams to develop scalable data pipelines, improve model performance, and support regulatory submissions for medical device software.

• Design, build, and maintain robust ETL pipelines to support AI model development and deployment.
• Develop, train, and optimize machine learning models used in radiotherapy software.
• Collaborate with product and research teams to bring new AI-driven features and algorithms into production.
• Support FDA submissions by contributing to documentation, validation, and regulatory processes.
• Participate in design reviews, risk analyses, and cross-functional discussions to ensure safe and effective products.
• Mentor junior engineers and data scientists and contribute to a collaborative team environment.

• MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.
• Expert-level proficiency in Python.
• Hands-on experience building, training, and tuning machine learning models.
• Strong experience with PyTorch and/or TensorFlow.
• Experience developing convolutional neural networks, including U-Net architectures.
• Experience using Git and modern code repositories (GitHub, Bitbucket, Azure DevOps, etc.).

• Experience with medical imaging and image processing techniques (segmentation, resampling, smoothing).
• Familiarity with clinical data standards such as DICOM or HL7.
• Experience working in regulated environments (HIPAA, FDA, or medical device software).
• Experience with modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).

At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.

We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $160,000 - $200,000 USD base, plus bonus eligibility.

For US teammates (via TriNet):

• Multiple high-quality medical plan options with substantial employer contributions toward premiums, often covering the full cost depending on the plan selected.
• Health coverage starting on day one
• Short-term and long-term disability and supplementary life insurance

Financial & Professional Growth

• 401(k) with employer match vested immediately
• Annual reimbursement for professional memberships
• Conference attendance and continued learning opportunities

Work-Life Balance & Perks

• Self-managed PTO and 10 paid holidays
• Monthly internet stipend
• Company-issued laptop and one-time home office setup stipend
• Fully remote work environment with virtual events and yearly retreats, because we like to have fun while doing work that matters

For global teammates (via Deel):
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.

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 workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.

Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact [email protected].