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    Virtual Machine Learning Engineer Position at Radformation

    Virtual Machine Learning Engineer Position at Radformation

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    About Radformation

    Radformation is revolutionizing cancer care delivery in clinics. Our cutting-edge software automates and standardizes radiation oncology workflows, allowing clinicians to plan and administer treatments more quickly, safely, and consistently. This ensures that patients everywhere have access to high-quality care.

    Key Focus Areas of Our Software

    Our software is designed to enhance care in three crucial ways:

    1. Time Savings Through Automation

    We leverage automation to streamline processes, significantly reducing the time clinicians spend on repetitive tasks.

    2. Error Reduction via Automated Systems

    Our automated systems minimize the risk of human error, enhancing the safety and reliability of treatment protocols.

    3. Increased Quality of Care

    With advanced algorithms and workflows, we ensure that the quality of patient care is elevated, regardless of location.

    Our Mission and Team

    We are a fully remote, mission-driven team dedicated to reducing cancer’s global impact. Every line of code, product release, and customer interaction brings us closer to our goal of ensuring that treatment quality is not dictated by geography, aiming to save more of the 10 million lives claimed by cancer each year.

    Why This Role Matters

    In this position, you will play a crucial role in advancing Radformation’s AI-driven radiotherapy products. By developing and enhancing machine learning models, you’ll have a direct influence on clinical workflows and patient outcomes.

    Responsibilities Include:

    • ETL Pipeline Development: Design and maintain robust ETL pipelines for AI model development and deployment.
    • Model Optimization: Develop, train, and tune machine learning models for radiotherapy applications.
    • Collaboration: Work closely with product and research teams to introduce new AI-driven features and algorithms.
    • Regulatory Support: Contribute to documentation, validation, and FDA submissions for medical device software.
    • Cross-Functional Engagement: Participate in design reviews and risk analyses to ensure product safety and effectiveness.
    • Mentorship: Mentor junior engineers and data scientists, fostering a collaborative team environment.

    Required Experience

    • Educational Background: MS in Computer Science, Mathematics, Statistics, or a related field with 3+ years of experience.
    • Technical Skills: Proficiency in Python and hands-on experience in building, training, and optimizing machine learning models.
    • Framework Knowledge: Strong experience with PyTorch and/or TensorFlow and development of convolutional neural networks, including U-Net architectures.
    • Version Control: Experience with Git and modern code repositories like GitHub, Bitbucket, or Azure DevOps.

    Preferred Experience

    • Medical Imaging Expertise: Familiarity with techniques like segmentation, resampling, and smoothing.
    • Clinical Data Standards: Knowledge of standards such as DICOM or HL7.
    • Regulated Environments: Experience in HIPAA, FDA, or medical device software settings.
    • AI Development Tools: Experience with AI-assisted tools like Cursor, Claude Code, or Codex.

    AI & Hiring Integrity

    At Radformation, we view AI as a powerful innovation tool. Our hiring process focuses on understanding your skills, experience, and problem-solving approach without the use of real-time answer-generating tools. This ensures a fair process and showcases your authentic capabilities—using such tools may impact your candidacy.

    Benefits & Perks — What Makes Us RAD

    We value our team as much as our mission, offering competitive compensation, comprehensive benefits, and the chance to make a real impact in the fight against cancer.

    Compensation

    The salary range for this role is $160,000 – $200,000 USD base, plus bonus eligibility.

    For US Teammates (via TriNet):

    Health & Wellness:

    • Multiple medical plan options with significant employer premium contributions.
    • Health coverage from day one.
    • Short-term and long-term disability and life insurance.

    Financial & Professional Growth:

    • 401(k) with immediate employer matching.
    • Annual reimbursement for professional memberships.
    • Opportunities for conference attendance and continued learning.

    Work-Life Balance & Additional Perks:

    • Self-managed PTO and 10 paid holidays.
    • Monthly internet stipend.
    • Company-issued laptop and home office setup stipend.
    • Fully remote work environment, complemented by virtual events and annual retreats.

    For Global Teammates (via Deel):

    Radformation is committed to supporting every team member globally. We offer benefits that align with local laws, ensuring a competitive and compliant package designed to support your health and financial security.

    Our Commitment to Diversity

    Cancer touches every individual, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer, welcoming candidates from all backgrounds and committed to fostering an inclusive environment.

    Agency & Candidate Safety Notice

    Radformation does not accept unsolicited resumes from agencies without a signed agreement. All legitimate communication will originate from a @radformation.com email address. If you encounter outreach from other domains or unofficial channels, please contact us directly.


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