Ontra is seeking to revolutionize legal tech by designing and scaling advanced machine learning platforms, with a focus on evaluation, search and information extraction functionality, while driving improvements in AI capabilities and optimizing legal document review workflows.
Requirements
- 5+ years in ML Platform/ML Ops roles.
- Hands-on experience in creating Data Processing pipelines and infrastructure in support of LLM applications and experience with productionization of LLM based applications.
- Demonstrated experience in deploying ML models in production environments, including the use of orchestration and monitoring tools.
- Experience designing, building, and scaling Data and ML infrastructure using Kubernetes, Terraform, and AWS.
Responsibilities
- Design, build, and scale advanced machine learning systems to automate the extraction and retrieval of legal obligations from complex private equity documents.
- Build ML Platforms that will serve as foundations for building new GenAI & LLM applications.
- Work closely with product, legal, and engineering teams to define project requirements and seamlessly integrate AI solutions into existing workflows.
- Review and refine datasets and machine learning pipelines to ensure they deliver high performance, scalability, and are tailored to evolving needs.
- Deploy and continuously monitor machine learning models in production, conducting experiments and implementing optimizations to improve model performance.
- Drive measurable improvements in legal review processes and enhance end-user productivity through advanced AI applications and tools.
Other
- To foster team connection and collaboration, this role requires being present in either our Santa Barbara or San Francisco office up to once a quarter for team meetings and off-sites. As such, we are only considering candidates who are currently based in California.
- Occasional travel is required for Ontra employees, including typically at least twice per year to attend team and larger group off-sites for in-person collaboration.
- If you are an innovative and analytical thinker with deep expertise in machine learning infrastructure and AI search platform, who thrives on solving complex, domain-specific challenges through advanced machine learning techniques, we’d love to get to know you!
