Software Engineer V

Job Description:

• The Team aims at delivering the future of communication - photorealistic telepresence via Codec Avatars. Our aspiration is to connect people separated by distance as if they were in the same room together. We achieve this by researching, developing, and productionizing state-of-the-art methods in cross sections of computer graphics, computer vision and machine learning for human understanding and telepresence. As a Research Engineer or Software Engineer on our team, the individual will have the opportunity to build innovative machine learning infrastructure that will shape the stability and robustness of cutting-edge technologies.

Job Overview:

• We are looking for a seasoned Senior Software Engineer (SWE V) to spearhead code improvement initiatives.
• The ideal candidate should possess a robust background in software development, particularly in Python, continuous integration and testing, and code optimization.
• Experience with GPU coding, PyTorch, and backend ML systems is advantageous.
• Our team focuses on transforming research codebases into product-ready states. The successful candidate will primarily code in Python. While experience with backend systems and managing large codebases is beneficial, it is not mandatory.

Key Responsibilities:

• Codebase migrations.
• Enhancing code quality.
• Increasing test coverage through unit and integration testing.
• Code refactoring.
• Optimizing 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.

Years of Experience: 6 years experience with Python and source control.

Must-Have Skills:

• 6 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 ML 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.

Nice-to-Have Skills:

• 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.

Degrees/Certificationsl: Bachelor s in software engineering preferred.

Day-to-Day Responsibilities:

• Codebase migrations.
• Improving code quality.
• Increase test coverage with both unit and integration testing.
• Code refactoring.
• Improve how backend workflows are orchestrated.
• Other better engineering work like setting up dashboards and alerts, helping with oncall workloads etc.

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