Machine Learning Engineer

Jobicy; United States; Remote; USD 215,000 - 275,000; Full time

Job summary

Liftoff is hiring a Machine Learning Engineer for the Revenue Engine team in the United States. The role focuses on building statistical models and production systems to balance advertiser performance with business goals, tuning parameters, and running experiments to validate ML theories in a dynamic ad-tech economy.

You will develop applications in advertiser budget retention, growth, and bidding innovations, collaborating with world-class engineers and stakeholders across Operations and GTM.

Qualifications

• PhD in Computer Science, Machine Learning, Economics, or related field.
• Industry experience applying economics or machine learning to large-scale problems.
• Solid engineering and coding skills.
• Excellent team communication and collaboration skills.

Responsibilities

• Build statistical models and production systems to balance advertiser performance with business goals.
• Tune optimization parameters, measure internal competition, and model dynamic environments.
• Design and run experiments to validate theories underpinning the mobile ad tech economy.
• Develop applications in advertiser budget retention, growth, and bidding innovations.
• Collaborate with engineers across the company and communicate ML concepts to varied audiences.

Skills

Communication

Collaboration

Problem solving

Strong coding skills

Education

PhD in Computer Science

Economics background

Tools

Python

TensorFlow/PyTorch

C++

Job description

About the Revenue Engine team

The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition. The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers.

As a Machine Learning Engineer on the Revenue Engine team, you will:

• Build statistical models and production systems to balance advertiser performance with business goals.
• Tune optimization parameters, measure internal competition, and model dynamic environments.
• Design and run experiments to validate theories underpinning the mobile ad tech economy.
• Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations.
• Collaborate with a team of world‑class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM).
• Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non‑technical audiences.
• Be part of an “engineering excellence” culture through state‑of‑the‑art tools, risk‑driven testing, explainable systems, and design/code review.

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.

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.