Staff Machine Learning Engineer (PhD)

About Jerry.ai

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating.

Why Us?

• Innovation: Jerry is disrupting the car industry. With our super app, we are ushering in a new era for 300M drivers in the US and radically improving the consumer automotive experience.
• Impactful Projects: Architect complex deep learning models with massive real-world applications.
• Startup Energy: Move quickly, test, iterate and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one.
• Brilliant Teammates: Work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Tencent, Alibaba, ByteDance, etc.

2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article.

About the Opportunity

We are looking for a Staff Machine Learning Engineer who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years!

How You Will Make an Impact

• Develop and architect advanced machine learning models to address critical business challenges and drive company-wide strategic initiatives
• Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance
• Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks
• Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems
• Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry

Requirements

• PhD in Physics or related field
• 5+ years of experience building and deploying models from scratch.
• Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch.
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions.
• Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives.

Location Type

Remote

Employment Type

FullTime

Equal Employment Opportunity

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai

Note: While we appreciate your interest and application, only applicants under consideration will be contacted.