Staff Machine Learning Engineer

Liftoff

7d•$210,000 - $275,000•Remote

About The Position

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. As a Staff Machine Learning Engineer at Liftoff, you will: Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes. Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc) Monitor the latest ML research for functional ideas that the team could try. Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing. Model Monitoring & Improvement – Track performance, detect drift, and automate retraining. Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences Collaborate with a team of world-class engineers with diverse backgrounds. Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review. Liftoff offers a fast-paced, collaborative, and innovative work environment where employees are empowered to grow and make an impact. We’re shaping the future of the mobile app ecosystem—join us and help accelerate what’s next. Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence. Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law.

Requirements

6+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
Experience with Recommendation Systems
Hands on experience with deep neural networks in production at scale.
Solid engineering and coding skills.
Track record of well-developed execution and timely delivery of projects.
Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
B.S. or higher in Machine Learning, Math, Physics or similar.

Nice To Haves

PhD a plus.
Experience with AdTech is a solid plus

Responsibilities

Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes.
Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
Monitor the latest ML research for functional ideas that the team could try.
Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing.
Model Monitoring & Improvement – Track performance, detect drift, and automate retraining.
Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
Collaborate with a team of world-class engineers with diverse backgrounds.
Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.