ServiceTitan
Senior Machine Learning Engineer, Generative AI
ServiceTitan, Little Ferry, New Jersey, us, 07643
Ready to be a Titan?
This is a critical role for the next phase of ServiceTitan’s growth. We are sitting on an incredibly rich set of functionality and customer use cases that ServiceTitan will need to continue to enhance, build anew and scale 10X. For this upcoming phase of our continued growth, our data assets (including customer data, transactional logs and externally procured data from partners and web) will need to be productively harnessed to deliver tremendous incremental value to our customers using Analytics, Recommendations and automation and IoT oriented AI solutions. As an initiation of ServiceTitan’s commitment to advancement in data and AI, we recently launched our Analytics and AI products: Titan Intelligence.
As we continue to build our Data and ML capabilities to deliver the promise of helping our customers unleash the power of their data and bring the trades industry at AI parity with other technology enabled industries, we seek to add a Senior Machine Learning Engineer with deep technical expertise in Machine Learning, ML Infrastructure, productionalizing ML workflows and Deep Learning approaches including Large Language Models and Generative AI.
This hands-on role will blend a passion for ML and AI with the engineering rigor required to implement a machine learning platform to power the data and AI initiatives at ServiceTitan. Senior MLE will be a key contributor to the technical vision and product roadmap by building ML based product offerings to add significant customer value. This role is for a strong ML practitioner who will build state-of-the-art ML solutions at ServiceTitan.What you’ll do:
Implement Machine Learning algorithms for Generative AI, Large Language Models, clustering, classification problems, Natural Language Processing problems, etc.Collaborate with the product team to discover and develop novel applications of cutting edge Machine Learning algorithms to drive customer value.Develop end-to-end ML workflows for batch, real-time and near real-time use cases.Collaborate effectively with cross-functional teams, engineers, Product Managers, customers, and partners.What you’ll need:
Advanced knowledge of Machine Learning methods and algorithms across traditional ML methods, Deep Learning theory and techniques and Large Language Models.Experience developing and deploying LLM powered ML applications and RAG systems.Expertise in Machine Learning frameworks such as TensorFlow, PyTorch.Ability to write high quality code in Python, C++ and Java.Ability to empathize with our users and champion their experience.Strong communication skills.High EQ and a strong inclination to build a highly effective, diverse team where all members feel respected, included and can bring their whole self to the job.5+ years of relevant experience.BA/BS Computer Science or a related discipline. MS/PhD is highly desirable.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 Headspace, Galileo, One Medical, Ginger and more.Support for Titans at all stages of life: Parental leave and support, up to $20k in 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. The expected salary range for this role for candidates residing in the United States is between $139,000 USD - $200,000 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.
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This is a critical role for the next phase of ServiceTitan’s growth. We are sitting on an incredibly rich set of functionality and customer use cases that ServiceTitan will need to continue to enhance, build anew and scale 10X. For this upcoming phase of our continued growth, our data assets (including customer data, transactional logs and externally procured data from partners and web) will need to be productively harnessed to deliver tremendous incremental value to our customers using Analytics, Recommendations and automation and IoT oriented AI solutions. As an initiation of ServiceTitan’s commitment to advancement in data and AI, we recently launched our Analytics and AI products: Titan Intelligence.
As we continue to build our Data and ML capabilities to deliver the promise of helping our customers unleash the power of their data and bring the trades industry at AI parity with other technology enabled industries, we seek to add a Senior Machine Learning Engineer with deep technical expertise in Machine Learning, ML Infrastructure, productionalizing ML workflows and Deep Learning approaches including Large Language Models and Generative AI.
This hands-on role will blend a passion for ML and AI with the engineering rigor required to implement a machine learning platform to power the data and AI initiatives at ServiceTitan. Senior MLE will be a key contributor to the technical vision and product roadmap by building ML based product offerings to add significant customer value. This role is for a strong ML practitioner who will build state-of-the-art ML solutions at ServiceTitan.What you’ll do:
Implement Machine Learning algorithms for Generative AI, Large Language Models, clustering, classification problems, Natural Language Processing problems, etc.Collaborate with the product team to discover and develop novel applications of cutting edge Machine Learning algorithms to drive customer value.Develop end-to-end ML workflows for batch, real-time and near real-time use cases.Collaborate effectively with cross-functional teams, engineers, Product Managers, customers, and partners.What you’ll need:
Advanced knowledge of Machine Learning methods and algorithms across traditional ML methods, Deep Learning theory and techniques and Large Language Models.Experience developing and deploying LLM powered ML applications and RAG systems.Expertise in Machine Learning frameworks such as TensorFlow, PyTorch.Ability to write high quality code in Python, C++ and Java.Ability to empathize with our users and champion their experience.Strong communication skills.High EQ and a strong inclination to build a highly effective, diverse team where all members feel respected, included and can bring their whole self to the job.5+ years of relevant experience.BA/BS Computer Science or a related discipline. MS/PhD is highly desirable.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 Headspace, Galileo, One Medical, Ginger and more.Support for Titans at all stages of life: Parental leave and support, up to $20k in 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. The expected salary range for this role for candidates residing in the United States is between $139,000 USD - $200,000 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.
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