Machine Learning Engineer

Company: Radformation
Tags: design, support, software, code, financial, git

About Radformation
<p data-start="238" data-end="538">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.</p>
<p>Our software focuses on three key areas:</p>
<ul>
<li>Time savings through automation.</li>
<li>Error reduction through automated systems.</li>
<li>Increased quality care through advanced algorithms and workflows.</li>
</ul>
<p data-start="732" data-end="1071">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.</p>
Why This Role Matters
<p data-start="1101" data-end="1296">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.</p>
<p data-start="1298" data-end="1492">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.</p>
Responsibilities Include:
<ul>
<li data-start="1573" data-end="2183">Design, build, and maintain robust ETL pipelines to support AI model development and deployment.</li>
<li data-start="1573" data-end="2183">Develop, train, and optimize machine learning models used in radiotherapy software.</li>
<li data-start="1573" data-end="2183">Collaborate with product and research teams to bring new AI-driven features and algorithms into production.</li>
<li data-start="1573" data-end="2183">Support FDA submissions by contributing to documentation, validation, and regulatory processes.</li>
<li data-start="1573" data-end="2183">Participate in design reviews, risk analyses, and cross-functional discussions to ensure safe and effective products.</li>
<li data-start="1573" data-end="2183">Mentor junior engineers and data scientists and contribute to a collaborative team environment.</li>
</ul>
Required Experience:
<ul>
<li data-start="2212" data-end="2657">MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.</li>
<li data-start="2212" data-end="2657">Expert-level proficiency in Python.</li>
<li data-start="2212" data-end="2657">Hands-on experience building, training, and tuning machine learning models.</li>
<li data-start="2212" data-end="2657">Strong experience with PyTorch and/or TensorFlow.</li>
<li data-start="2212" data-end="2657">Experience developing convolutional neural networks, including U-Net architectures.</li>
<li data-start="2212" data-end="2657">Experience using Git and modern code repositories (GitHub, Bitbucket, Azure DevOps, etc.).</li>
</ul>
Preferred Experience:
<ul>
<li data-start="2687" data-end="3036">Experience with medical imaging and image processing techniques (segmentation, resampling, smoothing).</li>
<li data-start="2687" data-end="3036">Familiarity with clinical data standards such as DICOM or HL7.</li>
<li data-start="2687" data-end="3036">Experience working in regulated environments (HIPAA, FDA, or medical device software).</li>
<li data-start="2687" data-end="3036">Experience with modern AI-assisted development tools (e.g., Cursor, Claude Code, Codex).</li>
</ul>
AI & Hiring Integrity
<p data-start="3066" data-end="3518">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.</p>
Benefits & Perks — What Makes Us RAD
<p data-start="3563" data-end="3812">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.</p>
<p data-start="3814" data-end="3846"><strong>For US teammates (via TriNet):</strong></p>
<p><strong data-start="3848" data-end="3869">Health & Wellness</strong></p>
<ul>
<li>Multiple high-quality medical plan options with substantial employer contributions toward premiums, often covering the full cost depending on the plan selected.</li>
<li>Health coverage starting on day one</li>
<li>Short-term and long-term disability and supplementar…