Robotics Backend & ML Integration Engineer, Site Services at Meta — Fremont, USA | Base Career | Base Career
Robotics Backend & ML Integration Engineer, Site Services
Senior · 5+ years experience USD 144000-204000 yearly / year C++PythonWeb frameworksAPIsMLOpsModel serving platforms
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C++PythonWeb frameworks
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C++PythonWeb frameworksAPIsMLOpsModel serving platforms
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Responsibilities
- Build and maintain high-throughput pipelines for image, video, and time-series data to support robotics applications
- Develop core backend services, triage issues, execute bug fixes, and implement long-term design improvements
- Benchmark classical, modern AI, and hybrid techniques to integrate optimal solutions into production services
- Fine-tune foundation models on proprietary datasets, benchmark performance, and manage deployment workflows for inference
- Communicate technical trade-offs and drive backend architecture decisions with cross-functional teams
- Support and manage scalable simulation stacks and environments for robotic testing and synthetic data generation
- Integrate internal and external systems via APIs, agent-based workflows, standardized AI context protocols, and secure authentication layers
- Build bridge layers connecting backends to web components with robust failure-mode handling and fallbacks
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor’s degree in Computer Science, Software Engineering, Robotics, Electrical Engineering, or a related technical field
- 5+ years of experience in C++ and Python, focusing on the design, development, and integration of backend services and ML inference pipelines
- Demonstrated experience developing high-throughput backend data pipelines for image, video, and time-series data streams
- Strong knowledge of fault-tolerant backend architectures, model serving platforms, inference optimization, and MLOps orchestration tools
- Hands-on experience with web frameworks, API design, security protocols, and integration layers used to serve ML inference
- Proven ability to evaluate, benchmark, and integrate open-source and third-party AI, classical, or hybrid software solutions into production
- Experience navigating ambiguous technical requirements, resolving complex system issues, and executing long-term architectural improvements
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Strong collaboration skills with cross-functional engineering teams, researchers, and external vendors to deliver production-ready softwareExperience managing simulation stacks, hardware/software bridge layers, and continuous integration workflows for complex technical systemsTrack record of mentoring engineers, driving technical best practices, and improving engineering tooling and processPreferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Master’s degree or above in Computer Science, Machine Learning, Robotics, Electrical Engineering, or a related field
- Expertise in one or more of the following areas:
- Familiarity with hardware acceleration and model-infrastructure integration processes
- Track record of contributions to backend software or ML infrastructure communities
- Experience with data analysis tools and collaboration with research and data science teams
- Demonstrated ability to scale backend solutions, with a focus on fault tolerance and reliability
Compensation
- $144,000/year - $204,000/year; Country: US; Bonus eligible; Equity eligible
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