Backed by Entrepreneur First.
About the role
We’re looking for someone who’s ready to make an impact and grow alongside us: Applications for this role will be accepted through 04/026/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience: 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments
- Education: MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science
- Problem-Solving Mindset: A bias toward simple, effective ML solutions before diving into complex approaches
- Communication Skills: Ability to present findings clearly to both technical and non-technical stakeholders
- Adaptability: Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact
More about this role
Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.
That work has earned Engine recognition as TravelTech's Reservation Platform of the Year (2026), a spot on Inc.'s Power Partners list (2026), and one of Built In's Best Places to Work (2020–2026).
We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.
Come outpace the ordinary and build the future of travel with us.
Establishing and maintaining high-quality data infrastructure, data assets, and data science capabilities are critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic...
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