Senior/Principal Machine Learning Engineer (Remote)

• Collaborate closely with the founding team and advisors to develop and deploy generative learning models on AWS and GCP, utilizing frameworks like Ray and Anyscale.
• Execute machine learning training and inference workloads distributed across thousands of GPUs.
• Design and maintain machine learning tools and libraries to support a scalable, efficient, and flexible platform.
• Establish validation and benchmarking processes to uphold high-quality standards for ML models.
• Exhibit autonomy and critical thinking by taking full ownership of projects and deliverables.
• Incorporate feedback from biological labs conducting extensive experiments on proteins and cancer cells to refine models and processes.

• A degree in computer science, applied mathematics, computational biology, or a related quantitative discipline.
• Over four years of hands-on experience in developing and deploying deep learning models.
• Proven ability to distill complex scientific concepts, address novel and challenging problems, and work collaboratively within cross-functional teams.
• Expertise in working with large-scale models on distributed computing infrastructures.
• Proficiency in designing and maintaining software libraries, adhering to industry best practices and standards.

Desired Skills & Attributes:

• Knowledge of generative models, reinforcement learning, and natural language processing algorithms.
• Peer-reviewed publication(s) in the field of machine learning and/or experience contributing to open-source libraries.