Machine Learning Engineer, Conversion ML
Liftoff Mobile · United States
- Hybrid
- Full-time
- $275,000 / year
- United States
Job highlights
- Develop production ML models impacting business outcomes.
- Build and scale ML training/serving technologies.
- Research and implement latest ML advancements.
- Optimize ML pipelines for real-time processing.
- Monitor and improve ML model performance.
About the role
Staff Machine Learning Engineer
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.
About the Role
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.
- Experience with AdTech is a solid plus.
Location
This role is eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and New York City.
Travel Expectations
We offer several opportunities for in-person team gatherings, including but not limited to project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. These gatherings provide essential opportunities for collaboration, communication, and team building.
Compensation
Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. Base compensation will vary based on the candidate's location and experience. The following are our base salary ranges for this role:
- SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $225,000 - $275,000
- All other cities and towns in our approved states: $207,000 - $253,000
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.
Key skills/competency
- Machine Learning
- Neural Networks
- Recommendation Systems
- Python
- Data Pipelines
- Model Deployment
- AdTech
- Large Scale Problems
- Software Engineering
- Statistical Modeling
Skills & topics
- Machine Learning Engineer
- Machine Learning
- Neural Networks
- Recommendation Systems
- Python
- Data Pipelines
- Model Deployment
- AdTech
- Large Scale Problems
- Software Engineering
- Statistical Modeling
- Remote
- Full-time
How to get hired
- Tailor your resume: Highlight machine learning, neural networks, and recommendation systems experience, quantifying achievements with data.
- Showcase production experience: Emphasize hands-on work with deep neural networks at scale and proven delivery of projects.
- Demonstrate engineering skills: Detail your coding abilities and experience with ML pipeline optimization and model monitoring.
- Research Liftoff's mission: Understand their AI-powered marketing platform and how your skills can drive user acquisition and retention.
- Prepare for technical questions: Be ready to discuss ML concepts, statistical modeling, and your approach to solving large-scale problems.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the salary ranges for a Machine Learning Engineer at Liftoff?
- For a Machine Learning Engineer role at Liftoff, base salaries vary by location. In high-cost areas like the SF Bay Area, Los Angeles/Orange County, NYC, and Seattle, the range is $225,000 - $275,000. For other approved states, the range is $207,000 - $253,000. This is in addition to equity and benefits.
- Is this Machine Learning Engineer role remote?
- Yes, this Machine Learning Engineer position is eligible for full-time remote work within specific approved states in the US (CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA). Liftoff operates as a remote-first company.
- What specific machine learning experience is Liftoff looking for in this role?
- Liftoff seeks a Machine Learning Engineer with 6+ years of industry experience, particularly in applying neural networks to large-scale problems. Experience with Recommendation Systems and hands-on deployment of deep neural networks in production at scale are crucial.
- What is the company culture like at Liftoff for engineers?
- Liftoff fosters an "engineering excellence" culture. This includes using state-of-the-art tools, implementing risk-driven testing, building explainable systems, and conducting thorough code reviews. They aim for a collaborative and innovative environment.
- Does Liftoff offer benefits and equity for this Machine Learning Engineer position?
- Yes, Liftoff provides a full compensation package that includes equity and health/vision/dental benefits. These benefits are tailored to the employee's country of residence and aim to support well-being and performance.
- What is Liftoff's stance on diversity and inclusion for this Machine Learning Engineer role?
- Liftoff is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants. They value diversity regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, or veteran status.
- What educational background is preferred for the Machine Learning Engineer position?
- A B.S. or higher degree in Machine Learning, Math, Physics, or a similar field is required. A PhD in a related area is considered a plus.
- How often are in-person gatherings expected for remote employees?
- Remote employees are expected to attend in-person team gatherings at least once per quarter. These can include project meetings, regional meetups, and company-wide events designed for collaboration and team building.