Pay · estimate~$165k – $225kMarket rate · not set by employer
PostedNov 15, 2026
LevelSenior
In short
At Treasure AI, we’re on a mission to radically simplify how companies use data to create connected customer experiences.
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📋 About the job
📌Treasure AI
At Treasure AI, we’re on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that’s safe, flexible, and secure.
We are thrilled that Gartner Magic Quadrant has recognized Treasure AI as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. View the report here.
Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers—self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.
💼Your Role
We are seeking strong ML engineers to join the ML team and help us sharpen the ML vision and deliver more solutions to satisfy our customers’ needs. You will be working closely with other ML engineers and people from cross-functional teams.
📌You will be a good fit if you
🔹Are a self-driven, organized, and independent individual who proactively takes initiatives, anticipates needs, and solves problems to contribute to delivering values to our customers.
🔹Have a strong sense of ownership and responsibility to get things done.
🔹Have a growth mindset; are curious to learn new things and adaptive to changes.
🔹Know how to navigate ambiguity and thrive in uncertain environments, consistently driving work forward.
🔹Are passionate about productizing ML products, knowing how to make practical trade-offs when turning ideas into working software.
🔹Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication.
🔹Enjoy working in a collaborative work environment with people from diverse backgrounds.
This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical ML products.
✅Responsibilities
✅Design and develop ML models or solutions for our client CDP implementation.
✅Own specific technical areas, drive and execute ML product projects, track progress and
✅mitigate risks by collaborating closely with product managers, UX designers, architects,