Principal Machine Learning Engineer

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, …