Principal Machine Learning Engineer, ServiceTitan
$226-323k
+ Annual bonus + Equity
All-in-one operating platform for trades
Open for applications
All-in-one operating platform for trades
1001+ employees
Open for applications
$226-323k
+ Annual bonus + Equity
1001+ employees
Company mission
To serve the men and women of the field services trades with the tools, training, and support to build their businesses and achieve all their goals.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
ServiceTitan’s software is purpose-built for trades businesses, providing a wide range of tools needed to seamlessly manage their back office and customer experiences, to power business growth.
The rising demand for home services across the country helped shine a spotlight on the lack of modern software for trades, ServiceTitan answered this call for innovation providing support to 11,800+ customers across 10 trades.
2021 saw the company reach a $9.5 billion valuation, however, in the last few months of 2022, there was talk of raising additional funds in traditional equity - as opposed to debt-like funding- which could result in a 20% lower valuation.
That said, the company is showing no sign of slowing, acquiring two more companies in 2022, and is eyeing an IPO off the back of reaching Series G in funding rounds. In addition, the company launched its next-generation operating system, Titan Intelligence, providing a suite of AI-based solutions. ServiceTitan is well set to experience further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
18% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Nov 2022
$365m
SERIES H
Jul 2021
$200m
SERIES G
Total funding: $1.5bn
Company benefits
- Flexible time off
- Fully paid individual medical, dental, and vision coverage
- Access to on-demand services like Ginger, Headspace, One Medical, Galileo, Aaptiv, and more
- Tax free savings via HSA, FSA, and Dependent Care FSA
- 401(k) match
- Personal development programs and annual learning budget
- Medical plan with up to $20,000 in fertility coverage
- Up to 30 weeks of paid leave for birthing parents and up to 16 for non-birthing parents
- Adoption support including reimbursement of up to $20,000
- Bereavement leave for loss of a pregnancy or loved one
- Access to programs for new parents including Maven Maternity, Ready, Set, Food! Wellthy, SNOO Smart Sleeper, and more
Company values
- Be unapologetically you
- Bring your best
- Make bold moves
- Keep it human
- Work your way
Company HQ
Downtown, Glendale, CA
Articles
Leadership
Ara Mahdessian
(CEO)They studied Management and Computer Science at Stanford University, before co-founding ServiceTitan with Vahe in January 2013. They have served since then as CEO.
Vahe Kuzoyan
(President)Having studied Computer Science at the University of Southern California, they co-founded ServiceTitan in January 2013, working to present as President.
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