Principal Machine Learning Engineer

US CA Remote

ServiceTitan

Our all-in-one software is built for home and commercial contractors to keep all their service visits and construction projects running smoothly.

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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 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 (https://www.servicetitan.com/blog/titan-intelligence-announcement).
 

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 an industry leading Principal Data Scientist with deep technical expertise in Statistics, Machine Learning, productionalizing ML workflows and expertise in Deep Learning approaches and solutions including Large Language Models and Generative AI. 

Principal Machine Learning Engineer will be a key contributor to the technical vision and product roadmap by enabling ML based product offerings which add significant customer value. This role is for a strong ML practitioner who will build state-of-the-art ML solutions and ML infrastructure @ ServiceTitan.

What you'll do:

  • Drive the development and implementation of novel data science solutions to address complex business problems across multiple product areas

  • Implement Machine Learning algorithms for recommendation systems,  Generative AI, Large Language Models, clustering, classification problems, Natural Language Processing, content embedding, models etc.

  • Provide strategic guidance and mentorship to senior data scientists and teams across the organization

  • Develop end-to-end ML workflows for batch, real-time and near real-time usecases

  • Collaborate effectively with cross-functional teams, engineers, Product Managers, customers, and partners

What you'll bring:

  • Advanced knowledge of Machine Learning methods and algorithms across traditional ML methods and Deep Learning theory and techniques.

  • Experience developing and deploying large scale Machine Learning applications

  • Expertise in Machine Learning frameworks such as TensorFlow, Keras, PyTorch

  • Ability to write high quality code in Python, C++ or Java

  • Experience building ML platform to support ML lifecycle across teams and projects

  • 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.

  • 10+ years of relevant experience

  • BA/BS Computer Science or a related discipline. MS/PhD is highly desirable

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. 

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 $226,000 USD - $323,000 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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Tags: Classification Clustering Computer Science Deep Learning Generative AI Java Keras LLMs Machine Learning Maven ML infrastructure NLP PhD Python PyTorch Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Equity / stock options Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment Team events Wellness

Region: Remote/Anywhere

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