Senior Applied Scientist

3 weeks ago


Toronto, Ontario, Canada Autodesk Full time

Unlock the Power of Data Science at Autodesk

As a Senior Applied Scientist at Autodesk, you will be part of a team that harnesses the power of machine learning to drive business growth and innovation. We are seeking a highly skilled machine learning expert with a proven track record of developing high-quality ML models and conducting statistical analysis.

Key Responsibilities:

  • Design and implement machine learning pipelines to enhance decision-making and drive business outcomes
  • Collaborate with cross-functional leaders to develop data-driven strategies and influence product development
  • Report to the Applied ML Manager and mentor junior team members to deliver key ML features

Requirements:

  • MS/PhD in a quantitative field: Mathematics, Physical Sciences, Statistics/Analytics, Computer Science, or other relevant fields
  • 4+ years of industry experience and a passion for designing, analyzing, and deploying machine learning-based solutions
  • Experience working with relational SQL and/or NoSQL databases, big data platforms (Hadoop, Spark, Hive), and data science toolkits (pandas, Jupyter, scikit, TensorFlow)
  • Familiarity with Machine Learning techniques, e.g., classification, clustering, regularization, optimization, dimension reduction, and cloud computing (AWS)
  • Experience with Large Language Models (RAG, Generative AI) and NLP, recommender systems, and MLOps

What We Offer:

  • A competitive compensation package, including base salary, discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package
  • A culture of belonging and an equitable workplace where everyone can thrive

About Autodesk:

Autodesk is a worldwide leader in 3D design, engineering, and entertainment software, enabling people to envision, design, and create a better world. We help innovators turn their ideas into reality, transforming not only how things are made but what can be made.



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