Senior Machine Learning Scientist, Agentic AI
Tasks
- Apply reinforcement fine tuning
- Build clinical trial matching pipelines
- Create reproducible architectures
- Defend agentic architectures in peer reviews
- Define agentic workflows technical strategy
- Ensure human verifiable reasoning and tracing
- Establish production ML engineering standards
- Fine-tune large language models
- Implement LLM reasoning frameworks
- Integrate transformer foundation models for DNA RNA and H and E
- Lead multi agent systems design and deployment
- Perform cross functional technical alignment
- Perform genomic variant calling
- Translate multi modal data into diagnostic and therapeutic insights
Perks/Benefits
- 401k with company match
- Annual performance incentive bonus
- Comprehensive health benefits
- Fertility care benefits
- Free testing
- Long term equity awards
- Paid time off and company holidays
- Pregnancy and baby bonding leave
- Wellness benefits
Skills/Tech-stack
Agent systems | Cancer Genomics | Chain-of-Thought | Data Validation | Digital Pathology | Distributed Training | EMR Integration | Fine Tuning | GPU clusters | Genomic Variant Calling | LLM Fine-tuning | Langchain | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Mutational Signatures | PyTorch | RAG | React | Reinforcement Fine Tuning | Reproducibility | Retrieval-Augmented Generation | Structure Activity Relationships | Transformer Models | Variant calling | WES | WGS
Education
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