AI/ML Engineer
Washington, DC or Fully Remote
R
USD 137K-197K (estimate) Senior-level Full Time
Tasks
- Design AI capabilities for data characterization and classification
- Design AI orchestration workflows for distributed inference across edge devices
- Develop evaluation methodologies for accuracy latency and resource utilization
- Develop inference pipelines for heterogeneous compute
- Document model development and evaluation results
- Evaluate optimize and deploy foundation models for edge environments
- Implement AI governance practices for explainability and responsible AI
- Implement Retrieval Augmented Generation semantic search and knowledge retrieval
- Implement model monitoring observability testing and automated evaluation frameworks
- Integrate AI models into production software platforms
- Optimize models using quantization pruning and distillation
- Support customer demonstrations and prototype evaluations
- Support experimentation with multimodal sensor data and structured mission data
Perks/Benefits
- 401k matching
- Commuter benefits
- Education reimbursement
- Holiday leave
- Life insurance
- Onsite gym facility
- Paid time off
Skills/Tech-stack
CrewAI | Distillation | Docker | Edge AI | Explainable AI | Inference acceleration | Knowledge Retrieval | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Compression | Model Monitoring | Multimodal Machine Learning | Observability | Pruning | PyTorch | Python | Quantization | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Series analysis | Time Series | Time Series Analysis | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
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