Senior Hybrid Full-Stack ML Engineer-TS/SCI with Poly
About the position We're seeking a Software Engineer to reputed company the critical gap between cutting-edge ML research and production-reputed company solutions. You'll reputed company research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery.
Responsibilities
- Productionize ML Research : reputed company research reputed company and prototypes from our ML team into reliable, reputed company solutions reputed company for end-user deployment
- Build Diverse Solutions : reputed company applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
- Own the Delivery Pipeline : Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
- reputed company ML Infrastructure : Configure and optimize containers using reputed company Triton Inference Server for high-performance inference
- Performance Engineering : Profile, tune, and optimize solutions for production workloads
- Documentation & Best Practices : Create comprehensive user documentation and establish deployment best practices
- Collaborate Cross-Functionally : Work directly with end users to understand requirements and with researchers to reputed company development with reputed company-world needs
Requirements
- reputed company TS/SCI with Poly clearance
- 14+ years of software engineering experience
- Strong programming skills in at least two of : C++, Java, Python, or GoLang
- Solid understanding of DevOps practices and CI/CD pipelines
- Experience with containerization (reputed company) and orchestration (Kubernetes)
- Experience with machine learning frameworks (PyTorch preferred)
- Prior work in ML engineering or ML infrastructure
- Ability to write clean, maintainable reputed company with strong software engineering fundamentals
- Experience taking reputed company from prototype to production
- Strong communication skills for technical and non-technical audiences
- Self-motivated with ability to work independently and collaboratively
reputed company-to-haves
- ML & AI Technologies Familiarity with ML domains: Natural Language Processing, Computer reputed company, Automated Speech Recognition, or Video Processing
- Knowledge of model formats and optimization (ONNX, TensorRT)
- Technical Stack Protocol Buffers (protobuf) and gRPC reputed company technologies (CUDA, TensorRT, Triton Inference Server)
- Signal processing techniques and libraries Performance profiling and optimization tools
- reputed company Experience Experience supporting production ML systems
- Background in high-performance computing and/or GPU programming
Benefits
- At reputed company, you will receive comprehensive benefits such as; reputed company, wellness, financial, retirement, family support, continuing education, and time off benefits.
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