Senior Machine Learning Engineer (Model Dev)
Artera
Software Engineering
Canada · United States · Remote
Posted on Aug 14, 2025
About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.
As a Senior Machine Learning Engineer at Artera, you’ll work on the AI Platform team with a focus on establishing scalable and efficient pipelines for data processing and model training. You’ll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. You’ll ensure that Artera’s model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.
Essential Responsibilities:
- Lead the technical effort and define the strategic vision for developing novel biomarkers in collaboration with partners from product, clinical development, and biostatistics.
- Design and build AI-based biomarkers on multimodal data (including whole-slide images) to predict molecular traits and patient outcomes; and evaluate emerging technologies to continuously enhance product capabilities.
- Architect and implement tools and processes to streamline the end-to-end model development lifecycle—from prototyping to production—ensuring efficiency, robust performance, regulatory compliance, and scalability.
- Develop and integrate mechanistic interpretability methods to explain model decisions, build customer trust, and drive actionable improvements.
- Drive and contribute to publications in scientific journals and presentations at machine-learning conferences.
- Mentor and coach a team of machine-learning scientists and engineers, fostering their technical growth and collaboration skills.
Experience Requirements:
- 5+ years of industry experience using PyTorch or TensorFlow.
- 2+ years of experience as a technical lead, launching and monitoring machine-learning products in production environments.
- Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators.
Desired:
- Track record of research contributions, including peer-reviewed publications and conference presentations.
- History of external academic or industry collaborations.
- Experience with self-supervised representation learning (e.g., MoCo, DINOv2).
Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.