Senior Machine Learning Engineer

Senior Machine Learning Engineer

Montreal, Quebec, Canada  - Permanent


Job Description

Our client is a clinical-stage biotechnology company decoding biology by integrating technological innovations across biology, chemistry, automation, data science, and engineering, with the goal of radically improving the lives of patients and industrializing drug discovery.

Our client uses a suite of custom software, algorithms, and machine learning to explore foundational biology unconstrained by human bias and navigate to new biological insights.

They are a biotechnology company scaling more like a technology company.

They have their own supercomputer (Ranked in the Top60 of most powerful in the world according to the TOP500 list), as well as access to ample cloud resources.

You will:


•Develop and deploy ML/DL products to support both active research programs and our long-term goals to decode biology and industrialize the drug discovery process.
•Build the infrastructure to support our evolving research initiatives in collaboration with software engineers and other company partners.
•Create reporting metrics or tools required by partners to understand, interpret, or otherwise make decisions from our data in collaboration with other data scientists and engineers.
•Deeply understand how we use our image data in order to propose and deliver projects that improve our data generation or analysis processes and increase our ability to discover therapeutics.
•Learn from the diverse skill of your peers and likewise be a mentor to others through the sharing of experiences in project collaborations and regular group learning opportunities.


Must Have Skills:

•3+ years industry experience.
•Working knowledge of machine learning fundamentals (data preparation, modeling approaches, algorithms, regularization, optimization, etc) and demonstrable experience applying a diversity of approaches to real-world problems.
•Uses modern technologies to accelerate machine learning. We use Python, PyTorch, TensorFlow/Keras and the PyData libraries.
•Experience releasing and maintaining deep learning-based products in a continuous-use production environment.
•Experience working in a collaborative CI/CD software development environment, including use of git, peer code review and independent authorship of well tested, easily maintained, scalable, and documented code.
•A strong sense of project ownership, curiosity, and the professional skill-set to excel in an open, highly collaborative environment.
•Demonstrable independence in leading data-driven machine-learning projects gated by clearly-defined performance metrics and milestones.


Nice to Have Skills:

•Material you can share highlighting your excellence in the above competencies (publications, patents, code repositories, whitepapers, launched products, etc.)
•2+ years experience working with convolutional neural networks


Details:

Starting: ASAP







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