Senior Software Engineer

The Senior Software Engineer position at Petuum Inc. in Pittsburgh, PA involves building robust and effective modern machine learning systems. The role also includes contributing to Petuum's CASL open-source projects, such as AdaptDL, AutoDist, and Tuun. The engineer will collaborate with system architects, designers, and engineers to support the development of machine learning systems, and will be responsible for developing parallel programming techniques to simplify distributed ML programming. Additionally, the engineer will assess and recommend technology choices and directions, communicate work to a broader audience, and mentor junior engineers.

• Collaborate with system architects, designers, and engineers to support the development of robust machine learning systems.
• Contribute high-quality code and lead efforts in building Petuum's open-source CASL projects.
• Develop parallel programming techniques to simplify distributed ML programming.
• Assess and recommend technology choices and directions in consideration of cost-benefit trade-off.
• Communicate work to a broader audience through talks, tutorials, and blog posts.
• Mentor junior engineers to facilitate the development process.

• Master's degree (or foreign equivalent) in Computer Science, Machine Learning, or a related field
• Minimum of five (5) years of experience in a related position
• Proficiency in building robust, effective, and well-packaged modern machine learning systems
• Experience in contributing to open-source projects, specifically Petuum's CASL projects (AdaptDL, AutoDist, and Tuun)
• Strong knowledge of parallel programming techniques for distributed ML programming
• Ability to assess and recommend technology choices and directions considering cost-benefit trade-offs
• Excellent communication skills to present work through talks, tutorials, and blog posts
• Mentoring skills to facilitate the development process for junior engineers

Unfortunately, the provided job description does not contain any information about job benefits or perks.