Applied AI & Optimization Engineer
Tasks
- Build analytics layer for defect trends yield analytics and throughput modeling
- Deploy and fine tune LLMs for cloud and air gapped and on edge environments
- Develop optimization algorithms for scheduling and resource allocation
- Evaluate build vs buy decisions for optimization libraries and ML tooling
- Implement constraint satisfaction and conflict detection
- Integrate and evaluate open source and custom LLMs
- Partner with engineers to build reliable ML optimization services
- Productionize optimization and machine learning systems
- Translate operational constraints into model formulations
Perks/Benefits
- 401k retirement savings plan
- Accident insurance
- Basic Life ADandD Insurance
- Comprehensive health dental vision plans
- Critical illness insurance
- DCFSA
- December
- FSA
- Generous parental leave
- HSA
- Holiday Hiatus in November
- Lifestyle spending account
- Long-term disability
- Mental health resources
- Relocation assistance
- Short-term disability
- Unlimited PTO
Skills/Tech-stack
Agent-based | Agent-based modeling | Combinatorial Optimization | Constraint Programming | Discrete Event Simulation | Discrete event | Event simulation) | Fine Tuning | Google OR | Google OR-Tools | Heuristics | Language Models | Large Language Models | MILP | Machine Learning | OR-Tools | Operations Research | Optimization | Python | Statistical modeling
Education
Roles
AI Engineer | Applied AI Engineer | Engineer | Optimization Engineer
Regions
Countries
States
Cities
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