Sr. Machine Learning Engineer

3 weeks ago

Laval, Quebec, Canada Reliant AI Full time

We believe that making the best decisions means looking at all the facts – a near-impossible task in our era of information overload. To fix this, we are building the next generation of machine learning software. Powered by generative AI, our algorithms analyze key information sources and provide comprehensive, factual answers for even your most complex queries.

We believe that the transformative impact of generative AI will be only realized by those willing to take on the world's biggest information challenges. To make this future come true, we deploy our longstanding expertise in reinforcement learning and natural language processing.

We are scientists. Builders. Entrepreneurs. We spearheaded many of AI's most impactful applications. We led teams at Google, DeepMind, and EY Parthenon. We now bridge cutting-edge AI research and the biopharma industry.

About the role

We are looking for a senior platform engineer with a strong track record working on applied ML (bonus points: in the life sciences). You will play a central role in defining and building out our ML and Data platform facilitating cutting-edge AI agents that excel at finding and organizing knowledge, and through your work lay the foundations of a new way of working with data.

If you are passionate about applying AI to real problems, enjoy working in a fast-paced environment, and are excited about contributing to the growth of an ambitious startup, this opportunity is for you.

As a key member of the machine learning team, you will

  1. Work closely with the product and commercial teams to define AI-human collaborative workflows for the life sciences.
  2. Design and implement tooling and processes to benchmark against life sciences specific use cases that enable us to make rapid progress on key AI features.
  3. Design and implement tooling and processes allowing us to understand model performance in production.
  4. Design language model-powered data pipelines that scale to millions of documents.
  5. Optimize the performance of our data and LLM infrastructure.
  6. Train AI models specialized to specific information extraction and structuring work, optimizing for both accuracy, confidence, and performance.
  7. Build tooling around our ML and Data platform to facilitate an ergonomic developer experience.
  8. Develop production-grade machine learning software.

About you

As the ideal candidate, you have deep experience contributing to transformative machine learning applications. You are able to work end-to-end on machine learning applications and have an appreciation for automation, resiliency, and proper tooling. You are a strong backend engineer with ample experience and interest in ML and Dev Ops.

You will thrive in this role if you bring the following skills and experiences:

  1. A Master's degree in Computer Science or related field (or equivalent experience), bonus if you have NLP or Reinforcement learning experience.
  2. Demonstrated experience implementing practical ML algorithms and scaling them up to large-scale datasets.
  3. A strong ability to think creatively in a startup environment.
  4. Experience with CI / CD and Infrastructure as Code.
  5. 5+ years of experience developing in Python.
  6. Demonstrated experience with Pytorch, Jax, Tensorflow, or a similar framework.
  7. Excellent programming skills and ability to understand and design complex systems.
  8. Bonus: Experience applying AI to the life sciences or adjacent field.

All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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