Machine Learning Engineer (Platform)

Job Description

Job Description

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 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 :

• Build and own tools and libraries that accelerate Artera’s ability to develop, launch, and monitor AI products.
• Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.
• Optimize Artera’s ability to store and process terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.
• Ensure that Artera’s observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.

Experience Requirements :

Desired :

In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.

The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.

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.