Software Engineer

• Codebase migrations
• Enhance code quality
• Increase test coverage through unit and integration testing
• Code refactoring
• Optimize backend workflow orchestration
• Additional engineering tasks such as setting up dashboards and alerts, and assisting with on-call workloads
• Interact with scalable and distributed training algorithms and efficient data loading for large scale deep learning
• Collaborate with both research and maturation teams to push research to products

Minimum Qualifications:

• Bachelor’s in software engineering or related field
• 10+ years of experience in Python, especially with large codebases, preferably in Big Tech or mid-to-large companies
• Proficiency in continuous integration and testing
• Knowledge of code optimization techniques
• Familiarity with GPU coding, PyTorch, and backend Machine Learning systems (a plus)
• Strong problem-solving skills and attention to detail, with the ability to independently overcome technical roadblocks
• Experience working collaboratively and communicate effectively across functional teams
• Capability to work independently and within a team

Preferred Qualifications:

• Master's degree or PhD in software engineering or related field
• Experience in training deep learning models is a plus
• Experience in machine learning systems, such as defining evaluation metrics, building evaluation systems, scaling up pipelines and tooling
• Experience in creating and maintaining public projects (e.g., GitHub)
• Code Optimization/GPU Coding
• PyTorch Experience
• FAANG background preferred