Senior ML Scientist
Infospace
- Seattle, WA Los Angeles, CA
- Permanent
- Full-time
- Hands-on development of highly scalable algorithms to build products delivering text generation, retrieval augmented generation (RAG), and embedding capabilities
- Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to hundreds of thousands of requests per day
- Keep up with the latest in machine learning and natural language understanding, semantic search, and optimal ranking
- Actively contribute to the wider internal and external machine learning communities by sharing and publishing research and findings
- Work with cross-functional teams of engineers, scientists, and analysts to devise implementation and experimentation strategies
- Contribute to the development of System1's roadmap for core machine learning capabilities
- 4+ years of hands-on experience using, fine-tuning, & deploying LLMs for text generation. Additional experience with image generation is a plus
- Experience with RAG, embedding capabilities, vector embeddings, and in-memory data stores
- Experience in 3rd party Machine Learning libraries (e.g. PyTorch, HuggingFace, Dataiku, LangChain)
- Experience building scalable batch and real-time machine learning products
- Experience with model evaluation (e.g. Causal inference, A/B testing, data/model drift, etc.)
- Fluent in Python programming
- Experience using cloud compute (AWS preferred) and Docker
- Experience sharing code through Git and utilizing CI/CDHands-on experience with Snowflake or other cloud based analytics databases
- Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
- Competitive salary + bonus + equity
- Generous PTO + 11 company holidays
- Open sick time
- 100% covered Medical, Dental, Vision for employees
- 401k with match
- Health & Dependent Care Flex Spending Account
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events