Research Engineer
Oddin.gg
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Package and containerize AI models (Python/Docker) from research into clean, versioned services with well-defined APIs
- Own the engineering side of the tech transfer process: inference specs, environment setup, model mocking, and integration scaffolding
- Collaborate closely with research scientists on quantization, TensorRT compilation, and hitting latency budgets (e.g. <200ms real-time response targets)
- Maintain and operate model services in production, debugging stability and performance issues under load
- Contribute to the dual-track delivery model — keeping the engineering platform moving even while research is still iterating
Requirements
- Strong Python engineering skills; comfortable writing production-grade, maintainable code
- Comfortable owning ambiguous model-to-service transfers end-to-end with a high degree of autonomy
- Hands-on experience deploying ML/AI models (inference pipelines, serving frameworks)
- Familiarity with GPU workloads, containerization, and model optimization concepts
- Ability to read and work directly with research code and translate it into reliable services
- Bonus: experience with video/image generation models, TensorRT, or real-time streaming pipelines
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDockermodel optimizationinference pipelinesserving frameworksquantizationTensorRTreal-time responseproduction-grade codedebugging
Soft Skills
autonomycollaborationproblem-solvingcommunication