Staff Machine Learning Engineer

KenkoTech Futures; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading biotech firm is seeking a Sr. Machine Learning Engineer to design and maintain ML workflows that drive innovation in drug discovery. The ideal candidate will have over 3 years of experience in machine learning systems and strong proficiency in Python and relevant frameworks. Join a collaborative team and contribute to impactful projects that reshape the future of genetic medicines. Competitive compensation and benefits are offered.

Benefits

Competitive compensation

Equity package

Comprehensive benefits

Flexible work environment

Emphasis on learning and growth

Qualifications

• 3+ years of experience as an ML Engineer or relevant role.
• Strong proficiency in Python and ML frameworks.
• Experience with containerization and orchestration tools.

Responsibilities

• Design, develop, and maintain ML workflows for training and inference.
• Build reproducible data pipelines for machine learning experiments.
• Collaborate with scientists to deploy ML solutions.

Skills

Python

Machine Learning frameworks (PyTorch, TensorFlow, JAX)

Containerization (Docker, Kubernetes)

Cross-functional collaboration

Job description

🔍 Job Title: Sr. Machine Learning Engineer

📍 Location: USA / Canada (On-Site / Remote)

💼 Stage: Series B (~$250M funding)

About the Opportunity

We’re partnering with a cutting‑edge biotech using artificial intelligence to reinvent how medicines are discovered. Their AI platform unites machine learning, bioinformatics, and massive genomic datasets to uncover drug targets and mechanisms unreachable through traditional approaches.

As a Senior ML Engineer, you’ll be the driving force behind the systems powering this innovation. You’ll design, build, and scale high-performance ML infrastructure – training pipelines, inference frameworks, and reproducible workflows that bring AI models to life. Working closely with world‑class ML scientists, engineers, and biologists, you’ll turn data into discovery and technology into new medicines.

Key Responsibilities

• Design, develop, and maintain reliable ML workflows for model training, evaluation, and large-scale inference
• Build scalable, reproducible data pipelines that power end-to-end machine learning experiments
• Integrate model development processes with experiment tracking and reproducibility tools (e.g., Weights & Biases)
• Collaborate with scientists and engineers to prototype, iterate, and deploy ML solutions into production environments
• Promote best practices in software engineering, including modular design, code review, testing, and CI / CD automation
• Mentor team members and contribute to the continuous improvement of the ML engineering function

Qualifications

• 3+ years of experience as an ML Engineer, Software Engineer, or related role focused on machine learning systems
• Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or JAX
• Solid understanding of software architecture, design patterns, and engineering best practices
• Hands‑on experience with containerization and orchestration tools (Docker, Kubernetes)
• Strong collaborator who thrives in cross‑functional environments involving engineering, ML, and biology teams
• Ability to mentor and elevate the technical capabilities of peers

Why Join

• Be part of a mission‑driven company at the forefront of AI and computational biology
• Contribute to real‑world applications where your systems directly impact the creation of new genetic medicines
• Work in a collaborative, innovation‑focused culture with world‑class talent in ML, data science, and drug discovery
• Competitive compensation and equity package, comprehensive benefits, flexible work environment, and strong emphasis on learning and growth