Senior Machine Learning Engineer - Accelerating Drug Discovery with AI

Key Skills

Aartificial intelligence, Machine learning techniques, Leadership Skill, PyTorch, TensorFlow, Continuous Integration & Continuous Delivery - CI/CD, Kubeflow, MLflow

Job Description

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our cutting-edge AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.

About the Role

As a Senior ML Engineer, you'll architect scalable systems that accelerate our ability to translate AI insights into life-changing therapies. You'll work at the intersection of machine learning and biology, pushing the boundaries of what's possible in drug discovery.

Key Responsibilities:

• Maintain and improve data ingestion and processing pipelines for scalability, reproducibility, reliability, and speed
• Improve the training and inference speeds of a large class of ML models including transformer-based architectures, structured state-space models, graph neural networks, and many others
• Design, implement, and deploy ways to make complex deep learning models usable by biologists and other domain specialists
• Manage ML infrastructure, both on premises and in the cloud
• Rapidly prototype POCs in partnership with ML scientists and other stakeholders
• Test models at scale and ensure CI/CD best practices are followed by the whole team

Basic Qualifications:

• 3+ years of experience
• Expertise in ML frameworks (e.g., PyTorch, TensorFlow)
• Strong background in distributed systems and containerization
• Self-motivated problem-solver with excellent communication skills
• Adaptability to evolving requirements in a fast-paced field
• Ability to mentor and elevate team members' skills

Preferred Qualifications:

• Previous startup experience bringing ML prototypes to production
• Familiarity with bioinformatics data/pipelines
• Knowledge of MLFlow, Kubeflow, Ray, Dask, Fluidstack, or similar tools

What we offer:

• A highly competitive salary, a meaningful equity ownership stake in Deep Genomics, and exceptional opportunities for learning and growth
• Company paid benefits
• Exceptional opportunities for learning and growth in a world-class team of researchers and software developers, working at the intersection of the most exciting areas of science and technology

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.