Autodesk

Principal Data Scientist, Generative AI Remote or Hybrid Canada

REMOTEPosted 18 days ago

Job summary

  • Job post source

    This job is directly from Autodesk

  • Job overview

    The Principal Data Scientist, Generative AI at Autodesk leads advanced AI and data science initiatives to develop cutting-edge generative AI tools for the AEC industry, enhancing design and engineering workflows.

  • Responsibilities and impact

    The role involves driving strategic data science projects, analyzing large datasets, designing scalable data pipelines, leading statistical modeling, developing machine learning models, mentoring data scientists, collaborating cross-functionally, and promoting best practices in AI and data science.

  • Compensation and benefits

    Salary is competitive and based on experience and location, with discretionary annual bonuses, stock or long-term incentive grants, and a comprehensive benefits package.

  • Experience and skills

    Candidates need a Master's or higher in a quantitative field or equivalent experience, 5-7 years in data science or AI, proficiency in Python and data science tools, experience with cloud platforms like AWS, strong statistical and machine learning knowledge, and excellent communication skills; architecture or construction experience and deep learning expertise are preferred.

  • Career development

    The position offers opportunities to mentor others, lead cross-functional teams, and contribute to a culture of continuous learning and innovation.

  • Work environment and culture

    Autodesk promotes an inclusive culture valuing authenticity, growth, and belonging, emphasizing collaboration and continuous development in a supportive environment.

  • Company information

    Autodesk is a leader in AEC industry transformation, integrating AI into flagship products like AutoCAD and Revit, focusing on cloud-native innovations and advanced 3D modeling.

  • Team overview

    The candidate will join the AEC Solutions team, collaborating with AI researchers, ML engineers, software architects, and experience designers to build generative AI solutions.

  • Job location and travel

    The role is remote or hybrid within Canada, offering flexible work arrangements.

  • Unique job features

    The job features working on innovative generative AI models for the AEC industry, leveraging cutting-edge data science techniques and cloud technologies in a leading software company.

Company overview

Autodesk is a leading software corporation specializing in 3D design, engineering, and entertainment software. The company generates revenue through the sale of software licenses and subscriptions for its flagship products like AutoCAD, Revit, and Maya, which are widely used in architecture, construction, manufacturing, and media industries. Founded in 1982, Autodesk has a rich history of innovation, including the development of the first computer-aided design (CAD) software. The company is also known for its commitment to sustainability and supporting the future of making through initiatives like the Autodesk Foundation.

How to land this job

  • Tailor your resume to emphasize your expertise in generative AI, large-scale data analysis, and building scalable machine learning models, aligning closely with Autodesk's focus on AEC industry innovation and cloud-native AI solutions.

  • Highlight your proficiency in Python, data visualization tools, distributed computing frameworks like Spark or Ray, and cloud platforms such as AWS, as these are key technical skills mentioned in the job description.

  • Apply through multiple channels including Autodesk's official careers page and LinkedIn to maximize your application visibility and ensure you reach the right hiring teams.

  • Connect on LinkedIn with current data scientists, ML engineers, or managers in Autodesk's Generative AI or AEC Solutions teams; use ice breakers such as commenting on recent Autodesk AI initiatives or expressing enthusiasm for their work in advancing AI in architecture and construction workflows.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'generative AI,' 'machine learning models,' 'data pipelines,' 'cloud computing,' 'AWS SageMaker,' and 'responsible AI practices' to improve your chances of passing automated screenings.

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