Machine Learning Engineer

Requirements:

• PhD in Computer Science, Machine Learning, Economics, or a related field.
• Industry experience applying economics or machine learning to large scale problems.
• Solid engineering and coding skills.
• Excellent team communication and collaboration skills.
• Experience with ad tech is a solid plus.
• Location: The preferred location for this role is within California.
• 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: $235,000 - $275,000
• All other cities and towns in our approved states: $215,000 - $255,000
• #LI-EL1
• #LI-REMOTE
• 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.