Software Engineering - Software Engineer III

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Software Engineer III Onsite in Seattle, WA
We are a team at Fundamentals AI Research (FAIR) and we are building interactive AI agents that deliver personalized, context-aware experiences by adapting to diverse user behaviors and communication styles. This role involves designing and developing scalable, robust software systems that enable intelligent agent interactions in complex, dynamic environments.
This role focuses on building, maintaining and optimizing solutions in support of Machine Learning (ML) Research including but not limited to data annotation tools, data analysis and visualization pipelines, and software development using SOTA ML ecosystems such as PyTorch, Docker, AWS etc.
Job Responsibilities: • Engage with the team early on to seek a deeper appreciation of the team's goals. • Analyze needs and requirements to determine feasibility of fulfilling requirements within time and cost constraints. • Coordinate and work closely with research and XFN (UXR, data science) teams to clarify requirements, iteratively. • Understand, then extend or replace existing implementations. • Create CI/CD pipelines. • Design, develop, and iterate deployment solutions for the final product.
Minimum Qualifications • Experience in software design and development • Experience deploying software solutions on cloud platforms • Experience with Python, including package management, build tooling, and C++/Python interfaces. Familiarity with notebook frameworks such as Jupyter and matplotlib, as well as tools like pip, conda, clang, julia, pybind, and cython • Experience optimizing hardware and software to meet deployment workloads • Strong communication and problem-solving skills
Preferred Qualifications • Understanding of Machine Learning would be helpful • Experience optimizing deployments using Docker and AWS. Familiarity with the ML ecosystem (, PyTorch) and ML model serving (, Torchserve) is helpful but not mandatory
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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Location:
Seattle

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