Senior Principal Machine Learning Engineer at Autodesk

You're a senior Machine Learning engineer with at least a Master's or PhD and 10+ years of hands-on experience, ready to lead complex ML initiatives and mentor

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 senior Machine Learning engineer with at least a Master's or PhD and 10+ years of hands-on experience, ready to lead complex ML initiatives and mentor other engineers. **What makes it worth a look...** This fully remote Senior Principal Machine Learning Engineer role at Autodesk is offering a competitive annual salary range of $165,000 to $296,450, depending on experience and location in the US or Canada. **You might be a good fit if you...** * Have expert-level understanding of deep learning architectures like Transformers and Diffusion models. * Are proficient with PyTorch for distributed training frameworks and techniques (e.g., PyTorch Distributed, DeepSpeed). * Possess strong Python skills with experience in performance profiling and writing production code. * Have hands-on experience with cloud environments like AWS or Azure.

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