Senior Machine Learning Engineer (AI)

Location: Based in San Francisco, California, with hiring locations in Denver, Colorado and San Francisco, California. Hybrid work is required, with employees expected to work from a hirify.global hub office 3+ days per week. Relocation to a hirify.global hub location may be supported.

Salary: $207,000–$244,000 USD for San Francisco; $176,000–$207,000 USD for Denver.

Company

hirify.global builds an AI-powered data platform for safe and fair decisions, including employment, housing, transportation, childcare, and other verification use cases.

What you will do

• Design, develop, deploy, monitor, and test production ML models, AI systems, APIs, and services used by Product Engineering.
• Use LLM APIs such as OpenAI and Anthropic, selecting between LLMs, fine-tuning, classical models, and rules while balancing cost, latency, and quality.
• Write clean, structured production software with OOP, abstractions, error handling, testing, and CI/CD.
• Translate business problems into ML solutions, define API contracts, and collaborate with Product Engineering, Product, and cross-functional partners.
• Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance.
• Automate pipelines, build agentic workflows, and contribute reusable skills and context to hirify.global’s agentic platform and semantic layer.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, a related technical field, or equivalent depth from experience.
• 6+ years of professional software development experience, including at least 2 years building ML systems that run in production.
• Strong Python fluency and the ability to write clean, testable, well-structured code with solid OOP instincts.
• Hands-on production experience with LLM APIs, including prompt engineering, structured outputs, function calling, cost management, and evaluation.
• Experience building and maintaining APIs, working with CI/CD pipelines, and shipping code used by other engineers.
• Comfort with AI-assisted workflows and experience using LLMs, code-generation tools, or agentic systems in production or operational contexts.
• Ability to understand and review AI-generated code, identify AI slop, and avoid shipping unreliable code.
• Strong bias for action, ownership, resilience through ambiguity, urgency, and focus on meaningful outcomes.

Nice to have

• Experience with MLOps platforms such as MLflow, SageMaker, Vertex, or similar.
• Background in document processing, OCR, or information extraction.
• Experience with PySpark or large-scale data processing.
• Ruby experience; hirify.global’s platform runs on Rails.
• Familiarity with compliance-sensitive domains such as fintech, legal tech, or HR tech.
• Working knowledge of dbt, Snowflake, or modern ELT and data transformation tools.

Culture & Benefits

• Fast-paced, collaborative, impact-first engineering environment focused on shipping and results.
• Learning and development allowance, competitive cash and equity compensation, and advancement opportunities.
• 100% medical, dental, and vision coverage, plus up to $25,000 reimbursement for fertility, adoption, and parental planning services.
• Flexible PTO policy and monthly wellness stipend.
• In-office perks include lunch five times a week, a commuter stipend, snacks, and beverages.