Senior Software Engineer (SWE V) with a backend engineering

Work Location: Top Preference is onsite in Pittsburgh, PA or Burlingame, CA (PIT is most ideal but team recognizes the strong candidate pipeline in BUR).
If the role cannot be filled onsite in PIT or BUR OR if there are exceptional candidates that significantly exceed the quality of the onsite resumes, the team will consider 100% remote anywhere in US.

Job Overview
We are looking for a seasoned Senior Software Engineer (SWE V) with a backend engineering skillset to tackle infrastructural changes to enable/support model deployment, version and construct lineage of our models and data, extract important data for debugging, and expand an org-wide Codec Avatar debugging tool. The ideal candidate should possess a robust background in software development, particularly in Hack, Python, and React/JS. This includes continuous integration and testing and backend ML systems.
Our team focuses on transforming DL research codebases into product-ready states. The successful candidate will primarily code in Hack and Python. While experience with machine learning systems and managing large codebases is beneficial, it is not mandatory.
Key Responsibilities
Thrift Service backend work on Avatar Debugging tool
Model deployment and integration to Platform
Integration into new Codec Avatar Surfaces such as HSR (Horizon) for Product
Model metadata extraction and propagation
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
Collaborate with both research and maturation teams to push research to products
Required Skills
3+ years of experience in Python and Hack, especially pertaining to backend systems propagating information to a frontend, preferably in Big Tech or mid-to-large companies. Some experience in React and Javascript will help, but it is not as vital.
Proficiency in continuous integration and testing
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 Skills
Experience in maturing machine learning systems, such as building systems to load models/data and running inference, scaling up pipelines and tooling,
Experience in creating and maintaining public projects (e.g., GitHub)