Senior AI Engineer

ServiceTitan is hiring a Senior AI Engineer to build scalable, low-latency machine learning systems and production ML services using Python and Azure.

Responsibilities

• Design and implement scalable, low-latency ML systems and services, covering model training, inference, and deployment infrastructure
• Partner with product teams to integrate, operationalize, and deploy machine learning models into production, including foundational models (such as LLMs), traditional ML, and specialized models for speech, NLP, and forecasting
• Improve performance and real-time responsiveness of ML pipelines to support strong customer experience with minimal latency
• Communicate effectively with engineers, product managers, customers, and partners

Requirements

• 5+ years of experience writing production-level code in Python
• 2+ years of experience deploying machine learning models (NLP, speech, forecasting, recommendation systems) to production at scale
• Experience designing, building, and deploying scalable ML inference services for real-time or high-throughput applications
• Advanced knowledge of machine learning methods and algorithms, including traditional ML and deep learning theory and techniques
• Experience with reinforcement learning (RL) techniques and implementing continuous learning or online optimization systems for production
• Strong understanding of the machine learning lifecycle from experimentation to production deployment
• Experience with data platforms such as SQL Server , PostgreSQL , Redshift , and Snowflake
• Experience with public cloud environments such as Azure or AWS
• Experience with microservices and asynchronous messaging for high-volume, real-time systems, including Kafka and Azure Service Bus (critical)
• Experience with serverless architecture such as Azure Functions and AWS Lambda
• Experience with Azure Cognitive Services or similar cloud AI offerings is a plus
• Experience with developer tools and practices including Git , unit testing, debugging, profiling, and JIRA
• Comfort working in a fast-paced environment with a globally distributed team

Technologies

• Python, Azure Cloud, AIOps, MLOps
• LLMs, NLP, speech, forecasting
• SQL Server, PostgreSQL, Redshift, Snowflake
• Azure, AWS
• Kafka, Azure Service Bus
• Azure Functions, AWS Lambda
• Azure Cognitive Services
• Git, JIRA, microservices, serverless architecture

Benefits

• Flextime, recognition, and support for autonomous work
• Flexible time off with ample learning and development opportunities
• Comprehensive onboarding program
• Leadership training for Titans at all levels
• Bonusly, peer-nominated awards, and more
• Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents)
• FSA and HSA
• 401k match
• Telehealth options including memberships to One Medical
• Parental leave and support
• Up to $20k in fertility services (IUI and IVF)
• Surrogacy and adoption reimbursement
• On demand maternity support through Maven Maternity
• Free breast milk shipping through Maven Milk
• Pet insurance
• Legal advisory services
• Financial planning tools

Compensation and Location

• Location: California (onsite)
• Salary: USD 168,200 - 269,900 per year
• Minimum experience: 5 years

Recruitment AI Use

• ServiceTitan uses automated and AI-assisted tools to support certain aspects of its recruitment process
• AI tools are not used to make hiring decisions; hiring decisions are made by the hiring teams