cover image
KenkoTech Futures

Staff Machine Learning Engineer

On site

Toronto, Canada

Junior

Full Time

10-10-2025

Share this job:

Skills

Python CI/CD Docker Kubernetes Training Architecture Software Architecture Machine Learning PyTorch TensorFlow Data Science Artificial Intelligence

Job Specifications

Job Title: Sr. Machine Learning Engineer

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

Stage: Series B (~$250M funding)

PLEASE FOLLOW THE KENKOTECH PAGE AND CONNECT WITH THE JOB POSTER

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

About the Company

(kenko) - The balance of vitality and harmony in body and mind. We're committed to advancing innovation and growth by focusing on AI and cutting-edge technologies in the Health & BioTech space. We connect ambitious businesses with top talent across AI & Data, Software & Product, sales, marketing, and more. Backed by our capital investor, Fourteen Group, we've got the financial strength and industry expertise to take our services even further, ensuring our clients stay ahead in the dynamic healthtech and biotech sectors. Our ... Know more