Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Develop and deploy models that power a claims-intelligence platform, focusing on machine learning, natural-language processing, and generative AI. Focus on turning raw legal and medical data into production-ready models that directly improve justice for personal-injury clients.

Location: San Francisco (hybrid), Toronto (hybrid)

Salary: $176K – $265K

Company

hirify.global is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to get the justice they deserve.

What you will do

• Design and implement end-to-end ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning pipelines.
• Build and optimize data pipelines that integrate structured, unstructured, and embeddings-based data into ML workflows.
• Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models.
• Collaborate with data scientists and product teams to translate business problems into ML system designs.
• Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human-in-the-loop workflows.

Requirements

• Experience with end-to-end ML systems.
• Strong software engineering skills (Python, distributed computing, APIs).
• Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT).
• Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding).

Nice to have

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch).
• Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines).

Culture & Benefits

• Choice of medical, dental, and vision insurance plans.
• Flexible paid time off, sick leave, short-term and long-term disability.
• 10 US observed holidays, and Canadian statutory holidays by province.
• A home office stipend.
• 401(k) for US-based employees and RRSP for Canada-based employees.