Machine Learning Engineer – Applied Research and Model Development
| Company | Magical Tome |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of industry experience in NLP, with a strong portfolio of model training
- Strong understanding of deep learning AI/ML frameworks or cloud services
- Hands-on ML Ops experience
- Deep expertise in NLP and model training, specifically with LLMs
- Proven experience adapting open-source generative models for specific use cases, demonstrating a deep understanding of its architecture and capabilities
Responsibilities
- Create and ship magical, highly-differentiated AI experiences that sales teams can’t live without
- Craft Lightfield AI/ML strategy in tight collaboration with founders and execs
- Pioneer the training of new models that leverage both historical data and synthetic training data
- Prototype innovative, LLM-powered experiences, and drive their development into robust product features
- Help build a world class AI/ML engineering team by recruiting and mentoring teammates
Preferred Qualifications
- Proven track record of leading successful AI/ML research projects in a product environment
- Publications in applied AI/ML scientific journals
- Experience navigating open source/vendor solutions in LLM ops space (Langchain, Llama, Pinecone, etc)