United States
Remote only
In this position, you will design and implement cutting-edge machine learning systems that power our next generation of customer experiences. You will engage with multiple internal teams, including engineering, infrastructure, data science, and growth. We build for perfection, use Python and the most modern tools on Azure Cloud, have an amazing culture, and love to solve complex, real-time problems.
Design and implement scalable, low-latency ML systems and services, including model training, inference, and deployment infrastructure. The ideal candidate has a strong engineering background and is familiar with AIOps and MLOps practices.
Collaborate with product teams to integrate and operationalize machine learning models — including foundational models (like LLMs), traditional ML models, and specialized models for domains such as speech, NLP, and forecasting — into production.
Optimize the performance and real-time responsiveness of ML pipelines to ensure superior customer experience and minimal latency.
Communicate effectively with other engineers, product managers, customers, and partners.
5+ years of experience writing production-level code in Python.
2+ years of experience deploying machine learning models — such as NLP, speech, forecasting, or recommendation systems — to production at scale.
Experience with designing, building, and deploying scalable ML inference services to support real-time or high-throughput applications.
Advanced knowledge of machine learning methods and algorithms across traditional ML methods and deep learning theory and techniques.
Experience with reinforcement learning (RL) techniques and implementing continuous learning/online optimization systems for production.
Strong understanding of the machine learning project lifecycle, from experimentation to production deployment.
Experience with databases/data warehouses such as SQL Server, PostgreSQL, Redshift, Snowflake.
Experience with public cloud environments such as Azure or AWS.
Experience with microservices and asynchronous messaging technologies like Kafka, Azure Service Bus, etc. (critical for high-volume, real-time systems).
Experience with serverless architecture (Azure Functions, AWS Lambda, etc.).
Experience with Azure Cognitive Services or similar cloud-based AI offerings is a plus.
Experience with Git, unit testing, debugging, profiling, JIRA, and other tools typically used by developers.
Comfortable working in a fast-paced environment with a globally distributed team.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation, which may change over time. We comply with all applicable minimum wage laws. For candidates in the United States, the good faith salary ranges estimate for this role is

Zone 1: $179,900 USD - $269,900 USD Applicable for: CA, CT, DC, MD, MA, NJ, NY, VA, and WA

Zone 2: $168,200 USD - $252,200 USD Applicable for: All other US locations.

International Compensation for candidates residing outside the United States will vary by location and will be discussed during the hiring process. Actual compensation within a range is determined by factors including relevant experience, skill set, qualifications, and performance. In addition to base salary, our total compensation package includes an annual bonus, equity, and a holistic suite of benefits.Want to know if this job is worth applying to?