Senior Principal Machine Learning Engineer at Autodesk

You're a seasoned Machine Learning engineer with a Master's or PhD and at least 10 years of experience, ideally with a background in deep learning architectures

Work type: remote

Location: Boston, MA, USA | AMER - United States - New York - Offsite/Home | AMER - United States - New Jersey - Offsite/Home | AMER - United States - Massachusetts - Boston - Drydock | AMER - Canada - Nova Scotia - Offsite/Home | AMER - United States - Michigan - Novi | AMER - United States - Georgia - Atlanta - Peachtree St NW | AMER - Canada - New Brunswick - Offsite/Home | AMER - Canada - Ontario - Offsite/Home | AMER - Canada - Alberta - Offsite/Home | AMER - Canada - Manitoba - Winnipeg - Offsite/Home | AMER - Canada - Saskatchewan - Remote | AMER - Canada - Ontario - Toronto - University Ave | AMER - United States - Michigan - Offsite/Home | AMER - United States - Massachusetts - Offsite/Home | AMER - United States - Maryland - Offsite/Home | AMER - United States - Vermont - Offsite/Home | AMER - United States - Texas - Offsite/Home | AMER - United States - Georgia - Offsite/Home | AMER - Canada - Prince Edward Island - Offsite/Home | AMER - United States - Florida - Offsite/Home | AMER - United States - Virginia - Offsite/Home | AMER - United States - Pennsylvania - Offsite/Home | AMER - United States - Texas - Plano

Salary: $165,000 – $296,450/yr

Type: Full-time

You're a seasoned Machine Learning engineer with a Master's or PhD and at least 10 years of experience, ideally with a background in deep learning architectures and distributed systems. **What makes it worth a look...** This is a full-time, fully remote Senior Principal Machine Learning Engineer role at Autodesk, offering a U.S. base salary range of $165,000 to $296,450 annually, with potential for bonuses, stock grants, and comprehensive benefits. **You might be a good fit if you...** * Have expert-level understanding of deep learning architectures like Transformers and Diffusion models, with a requirement for PyTorch. * Possess hands-on experience with distributed training frameworks (e.g., PyTorch Distributed, DeepSpeed) and cloud environments like AWS or Azure. * Are proficient in Python for production code development and performance profiling. * Have proven experience leading the delivery of large-scale ML systems from conception to production.

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