Senior AI/ML Engineer
Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)
R
USD 192K-240K Senior-level Full Time
Tasks
- Architect synthetic data platform
- Build automated labeling pipelines
- Create agentic systems
- Deploy benchmarks and datasets
- Design AI platform APIs
- Evaluate agentic systems
- Generate synthetic data at scale
- Monitor and optimize production systems
- Operate scalable LLM workloads
- Provision RL training environments
- Refine synthetic data
- Run multi agent systems in cloud and hybrid environments
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Orchestration | Automated Labeling | Automated Labeling Pipelines | Azure | Data Systems | Debugging | Distributed Computing | GCP | LLM Operations | Labeling Pipelines | Monitoring | Performance Tuning | Python | RL environments | Reinforcement Learning | Reliability Engineering | Scalable data systems | Simulation Frameworks | Synthetic data | Telemetry
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
Regions
Countries
States
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