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.
What you'll do: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:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. 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, and more.
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.Skills Required
- 5+ years of experience writing production-level Python code
- 2+ years of experience deploying machine learning models to production at scale
- Experience designing, building, and deploying scalable ML inference services for real-time or high-throughput applications
- Advanced knowledge of traditional machine learning methods and deep learning theory and techniques
- Experience with reinforcement learning techniques and continuous learning or online optimization systems
- Strong understanding of the machine learning project lifecycle from experimentation through production deployment
- Experience with SQL Server, PostgreSQL, Redshift, or Snowflake
- Experience with public cloud environments such as Azure or AWS
- Experience with microservices and asynchronous messaging technologies such as Kafka or Azure Service Bus
- Experience with serverless architecture such as Azure Functions or AWS Lambda
- Experience with Azure Cognitive Services or similar cloud-based AI offerings
- Experience with Git, unit testing, debugging, profiling, JIRA, and comparable developer tools
- Comfort working in a fast-paced environment with a globally distributed team
ServiceTitan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ServiceTitan and has not been reviewed or approved by ServiceTitan.
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Healthcare Strength — Healthcare coverage is positioned as a major strength, with multiple plan features emphasizing broad medical, dental, and vision support plus telehealth-style access. Additional elements like HSA/FSA options and employer contributions reinforce perceived value beyond base pay.
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Parental & Family Support — Parental leave and family-forming support appear notably robust, with repeated references to paid leave and meaningful adoption/fertility assistance. The package is described as supportive across different family paths, though specifics can vary by plan and location.
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Fair & Transparent Compensation — Compensation is portrayed as generally competitive in several functions, particularly in engineering and experienced roles, contributing to an overall sense of being paid fairly. Equity and bonus components are also described as meaningful parts of total rewards for many roles.
ServiceTitan Insights
What We Do
ServiceTitan is the world’s leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses and aim to democratize the power of technology. The trades industry approaches $800B in North America alone and was significantly underserved by traditional software industry leaders prior to ServiceTitan’s entrance to the market. Today, ServiceTitan powers the businesses of more than 5,000 customers, is backed by the world’s leading venture capitalists, and continues to target triple-digit growth annually. ServiceTitan unlocks for small business, the tools and support that big business has enjoyed for decades; helping everyday entrepreneurs run and grow their businesses so they can build better lives for themselves and their families.
Why Work With Us
Not only do we change the lives of our customers, but we strive to create an environment full of opportunities that will change the lives of our employees. We are committed to giving extraordinary talent, extraordinary opportunity, and we prioritize investing in Titans, through a suite of benefits, learning and growth opportunities, and more.
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