Machine Learning Engineer, Sr.
About Ontra Ontra is a pioneering leader in AI-powered solutions tailored for the private markets sector. Leveraging industry‑leading artificial intelligence, extensive data from over 2 million contracts, and a global network of legal professionals, Ontra specializes in automating critical workflows throughout the fund lifecycle. Its innovative platform transforms unstructured data trapped within static documents into actionable intelligence, enabling firms to accelerate contract processing, streamline compliance procedures, and automate entity management tasks. Trusted by more than 1,000 clients worldwide—including top-tier private equity firms, investment banks, law firms, and advisors—Ontra’s solutions empower organizations to focus on strategic priorities while enhancing operational efficiency.
About The Role Ontra is actively seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team, reporting directly to the Senior Manager of Machine Learning. This role is pivotal in designing, developing, and scaling advanced machine learning systems that automate the extraction and retrieval of legal obligations from complex private equity documents. The ideal candidate will have a passion for revolutionizing legal technology through innovative AI solutions, with a focus on evaluation, search, and information extraction functionalities. As part of our remote-first culture, candidates must be based in California and willing to attend quarterly in-person meetings in either Santa Barbara or San Francisco. The role offers an exciting opportunity to work on cutting-edge AI platforms, improve legal document review workflows, and contribute to the development of future generative AI and large language model applications.
Qualifications
- 5+ years of experience in ML Platform or ML Operations roles
- Hands-on expertise in creating data processing pipelines and infrastructure supporting LLM applications
- Proven experience in deploying machine learning models in production environments
- Strong knowledge of orchestration and monitoring tools for ML models
- Experience designing, building, and scaling data and ML infrastructure using Kubernetes, Terraform, and AWS
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred)
Responsibilities
- Design, develop, and scale advanced machine learning systems to automate legal obligation extraction from private equity documents
- Build robust ML platforms to support the development of new generative AI and large language model applications
- Collaborate closely with product, legal, and engineering teams to define project requirements and ensure seamless integration of AI solutions into existing workflows
- Review, refine, and optimize datasets and machine learning pipelines to ensure high performance, scalability, and adaptability to evolving needs
- Deploy machine learning models into production environments, continuously monitor their performance, and implement improvements through experiments and optimizations
- Drive measurable workflow improvements in legal review processes, enhancing end-user productivity through innovative AI tools and applications
Benefits
- Remote‑first working policy with office hubs in San Francisco, New York City, Santa Barbara, and London
- Biannual team offsites for in-person collaboration and team building
- Paid flexible time off to support work-life balance
- Paid parental leave and family benefits
- Employer‑supported retirement contributions, varying by country
- Monthly reimbursement for phone and internet expenses
- Company-sponsored LinkedIn Learning accounts and departmental budgets for professional development
- Comprehensive medical, dental, and vision insurance options
- Occasional travel for team meetings and off-site events, typically twice per year
Equal Opportunity
Ontra is committed to fostering an inclusive and diverse workplace. We ensure equal employment opportunities for all qualified individuals regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected status. We provide reasonable accommodations to applicants with disabilities throughout the hiring process and employment. Our commitment to inclusion begins at the application stage and continues throughout your career with us, ensuring a respectful environment where everyone can thrive.