Machine Learning Engineer, Conversion ML
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.
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. PhD a plus.
Nice To Haves
- 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.
Benefits
- equity
- health/vision/dental benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
