Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing and scaling advanced machine learning systems with a focus on extraction, suggestion, graph representation and visualization, and search of legal entities from complex legal documents. Focus on revolutionizing legal tech by building and deploying LLM solutions for legal workflows, enhancing the capabilities of AI systems with custom NER pipelines and AI search.

Location: Must be based in California, with presence in either the Santa Barbara or San Francisco office up to once a quarter.

Salary: $230,400 - $345,600 USD

Company

hirify.global is the leader in AI-powered solutions for the private markets, automating critical private market workflows across the fund lifecycle.

What you will do

• Design, build, and scale advanced machine learning systems to automate the extraction of legal obligations and private equity relationships from complex private equity documents.
• Develop and fine-tune LLM solutions for legal workflows, enhancing the capabilities of AI systems with custom NER pipelines and AI search.
• Collaborate with product, design, data science, legal, and engineering teams to define project requirements and seamlessly integrate AI solutions.
• 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.

Requirements

• Experience: 5+ years in applied machine learning or NLP roles.
• Proficient understanding of transformer-based architectures, embeddings, and document-level NLP.
• Demonstrated experience in deploying ML models in production environments, including the use of orchestration and monitoring tools.
• Familiarity with AI search, vector stores (e.g. OpenSearch, Pinecone, Weaviate), or hybrid RAG systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field preferred.

Culture & Benefits

• Remote-first working policy, with office hubs in SF, NYC, Santa Barbara, and London
• Twice yearly team offsites for in-person collaboration
• Paid flexible time off policy
• Paid parental leave and benefits
• Employer-supported retirement contributions, varying by country
• Company-sponsored LinkedIn Learning accounts, department budgets for professional development, and robust onboarding program