For our client, we are seeking a Staff ML Engineer to join the team of a leader in the Hospitality & Recreation space.
This role will focus on taking machine learning and LLM solutions from prototype to production in a fast-moving environment. You will partner closely with AI Scientists, Product, and Responsible AI teams to design reliable systems that balance quality, cost, privacy, and governance. The position calls for deep technical ownership across model serving, distributed processing, and operational standards that support scalable AI delivery.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $130,000 – $190,000 annually
Responsibilities
Own technical delivery from prototype through deployment and support, collaborating with AI Scientists and Product teams
Evaluate AI solutions for production, identifying risks and determining architectures that meet quality and cost requirements
Architect and build resilient AI services and processing pipelines that handle faults and failures appropriately
Lead the evolution of Python services and the Databricks platform for model serving and distributed processing
Establish engineering standards for automated testing, CI/CD, and version management of models and prompts
Implement monitoring capabilities to detect AI quality regressions and track service performance metrics
Collaborate with Product and Responsible AI teams on release criteria, data privacy, and governance
Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience
8+ years of software engineering experience, with 3+ years focused on ML or LLM systems in production
Experience leading complex technical projects from planning to production, coordinating with multiple stakeholders
Advanced proficiency in Python for production and data processing, along with strong SQL skills
Expertise in designing high-throughput distributed systems with knowledge of failure recovery and capacity planning
Benefits
Robust benefits package including health, dental, and vision insurance
Generous paid time off and holiday schedule
401(k) plan with company match
Opportunities for professional development and training
Flexible work environment and remote work options
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.