Senior ML Systems Engineer

Job Responsibilities:

• Engineer, design, implement, and improve highly scalable machine learning systems and tools for enabling research
• Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
• Write clean and robust machine learning code
• Create documentation and support users in ramping and getting productive with the libraries and tools built by the team.

Skills:

• 5+ years of Python experience
• 2+ years of Pytorch experience
• 0-2 years of Distributed ML Training (FSDP/DDP) experience
• 5+ years of Dataset / Pytorch DataLoader experience
• 3+ years of OSS experience
• Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
• Prior contributions to open-source AI/ML projects

Education/Experience:

• 2+ years of experience with deep learning
• 2+ years of experience developing machine learning algorithms in Python or C/C++
• Experience with machine learning frameworks such as PyTorch or Tensorflow
• Experience working with large datasets and data pipelines
• Solid understanding of algorithms, data structures, and software engineering best practices.
• Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment.
• Excellent problem-solving and communication skills.