Senior Machine Learning Engineer (AI)

Location: Hybrid in San Francisco, with onsite work three days per week.

Salary: $225,000–$300,000 per year plus significant equity.

Company

hirify.global builds AI-powered clinical documentation and workflow products that reduce administrative burden for healthcare providers and improve health system outcomes.

What you will do

• Design and own evaluation pipelines for LLM and agentic systems using automated graders, regression testing, production feedback, and human evaluation.
• Diagnose production failure modes and improve model behavior through prompting, retrieval, context, routing, data, fine-tuning, and other system interventions.
• Build production agentic AI systems with tool use, retrieval, state management, orchestration, tracing, and failure recovery.
• Convert production failures and user feedback into datasets, evaluations, active-learning loops, and measurable model improvements.
• Translate research in LLMs, agents, NLP, speech, and multimodal AI into practical experiments.
• Own systems end-to-end across models, data, evaluation, orchestration, serving, observability, coding, and production debugging.

Requirements

• 5+ years of experience in production ML, research engineering, or applied AI.
• Experience building a consequential production AI system or materially improving model behavior in production.
• Strong understanding of modern LLMs, transformers, production AI systems, and complex agentic workflows.
• Experience designing evaluations, datasets, experiments, and regression detection for LLMs, agents, or other complex AI systems.
• Proficiency in Python and modern ML frameworks; PyTorch is preferred. Experience with deployment, observability, CI/CD, and containerized systems.
• Ability to collaborate with clinicians, product managers, and engineers while owning ambiguous technical problems through measurable outcomes.

Nice to have

• Experience with realtime voice, conversational AI, or multimodal systems.
• Experience with fine-tuning, post-training, or model adaptation.
• Healthcare, clinical AI, or other regulated high-stakes industry experience.
• Experience interviewing or mentoring ML engineers.
• Open-source contributions to ML, agent, or evaluation tooling.

Culture & Benefits

• High-ownership, high-trust environment focused on decisive execution, feedback, and continuous growth.
• Mission-critical AI work supporting clinicians and complex healthcare workflows.
• Medical, dental, and vision coverage for employees and dependents.
• 401(k) with company matching of up to 3% of base salary.
• Remote-friendly culture with a San Francisco headquarters, equipment provisioning, parental leave, flexible time off, holidays, and company shutdown from December 24 to January 1.
• Company and team off-sites, lunches, and all-hands gatherings with travel, lodging, and meals covered.