6 months ago
Remote, United StatesSenior
Responsibilities
- Lead end-to-end machine learning initiatives from problem framing and data exploration through model development, evaluation, and iterative improvement for NLP-focused applications.
- Develop and maintain Python-based ML pipelines and experimentation workflows.
- Build and integrate generative AI and agentic solutions using frameworks such as LangChain and CrewAI.
- Define evaluation criteria and conduct structured model and LLM evaluations using appropriate frameworks and metrics.
- Use Databricks and cloud provider services to develop, train, scale, and operationalize solutions.
- Develop graph-based ontologies and context graphs and improve agentic harnesses, memory management, and dynamic context compression.
Requirements
- Strong applied experience in data science and machine learning, including production-oriented model development, evaluation, and iteration.
- Demonstrated ability to build AI and machine learning solutions with Python.
- Hands-on experience with modern AI application frameworks such as LangChain or CrewAI.
- Practical experience applying generative AI techniques and patterns in real-world applications.
- Experience with graph-based solutions such as Neo4j for ontologies and context graphs.
- Understanding of agentic harness development, memory management, and dynamic context compression.
- Experience developing and improving NLP-focused machine learning solutions.
- Ability to work effectively in a Databricks environment for model development and experimentation.
- Preferred: experience with Apache Spark and LLM evaluation frameworks such as LangSmith.
Benefits
- LATAM remote work arrangement.
Tech Stack
Categories
About UP.Labs
UP.Labs is a venture studio within the UP.Partners ecosystem that co-creates startups with large enterprises, especially in transportation, mobility, and applied AI. It identifies corporate pain points, validates concepts, and builds software and hardware MVPs that are spun out as independent companies, often alongside strategic partners. The privately held firm is headquartered in Santa Monica, California and pairs venture-building teams with engineers to deliver operationally grounded products.