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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 POSTERAbout the Opportunity Were 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, youll be the driving force behind the systems powering this innovation. Youll 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, youll turn data into discovery and technology into new medicines.Key ResponsibilitiesDesign, develop, and maintain reliable ML workflows for model training, evaluation, and large-scale inferenceBuild scalable, reproducible data pipelines that power end-to-end machine learning experimentsIntegrate 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 environmentsPromote best practices in software engineering, including modular design, code review, testing, and CI/CD automationMentor team members and contribute to the continuous improvement of the ML engineering functionQualifications3+ years of experience as an ML Engineer, Software Engineer, or related role focused on machine learning systemsStrong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or JAXSolid understanding of software architecture, design patterns, and engineering best practicesHands-on experience with containerization and orchestration tools (Docker, Kubernetes)Strong collaborator who thrives in cross-functional environments involving engineering, ML, and biology teamsAbility to mentor and elevate the technical capabilities of peersWhy JoinBe part of a mission-driven company at the forefront of AI and computational biologyContribute to real-world applications where your systems directly impact the creation of new genetic medicinesWork in a collaborative, innovation-focused culture with world-class talent in ML, data science, and drug discoveryCompetitive compensation and equity package, comprehensive benefits, flexible work environment, and strong emphasis on learning and growth