Senior Machine Learning Engineer
Tasks
- Architect multi step agent workflows
- Collaborate with cross-functional teams to integrate AI capabilities
- Define and measure quality metrics
- Design deploy and optimize LLM powered systems
- Develop evaluation strategies for non deterministic systems
- Diagnose and mitigate LLM agent failure modes
- Improve reasoning planning and tool use capabilities
- Lead design and development of AI agents and agentic assist systems
- Mentor engineers and contribute to technical strategy
- Optimize AI systems for scalability latency security and cost
Perks/Benefits
- Commuter benefits
- Flexible PTO
- In-office meal program
- Medical, dental, and vision insurance
- Paid parental leave
- Remote work setup budget
- Retirement savings plan
- Wellness stipend
Skills/Tech-stack
A/B | A/B Testing | Agent systems | B testing | Benchmarking | Cloud infrastructure | Distributed Computing | Embeddings | Evaluation | Hallucination detection | Hugging Face | LLM-as-a-Judge | Language Models | Language Processing | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | Orchestration | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Tool use | Transformers | Vector Databases
Education
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