Liftoff

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. Come join the rocket ship! 🚀

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 645Since 2012Company Site

Location

United States

Posted

2 days ago

Salary

$215K - $275K / year

PythonMachine LearningStatisticsEconomicsData ModelingExperimental DesignOptimizationSQL

Job Description

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 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:
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: $235,000 - $275,000 
  • All other cities and towns in our approved states: $215,000 - $255,000 

#LI-EL1

#LI-REMOTE


We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT.  As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

Please see the independent bias audit report covering our use of Covey here.

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.

Agency and Third Party Recruiter Notice:

Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.

Related Job Pages

More Machine Learning Engineer Jobs

Middle Machine Learning Engineer – Research Team

GR8 Tech

Launch, grow, or upgrade your iGaming business with GR8 Tech high-performance Sportsbook and iGaming platform.

Machine Learning Engineer2 days ago
Full TimeRemoteTeam 501-1,000H1B No Sponsor

Machine Learning Engineer scaling ML systems for B2B iGaming platforms

CloudDockerLinuxNumpyPandasPythonPyTorchScikit-LearnTensorflow
United States
Machine Learning Engineer2 days ago
Full TimeRemoteTeam 201-500

The role involves designing, training, and deploying predictive models specifically for adversarial systems while also building and maintaining scalable, high-performance Machine Learning infrastructure. Responsibilities also include staying current with research, reproducing results, experimenting with hardware, and contributing to open-source development.

PyTorchPythonTensorFlowMachine LearningStatisticsLinear AlgebraOptimizationDistributed SystemsReal-time SystemsKubernetes
United States
$200K - $300K / year

Cryptography Engineer

Abile Headquarters

Abile Group, Inc. was formed in July 2004 to partner with the Intelligence Community and their Contractors in the areas of Enterprise Analytics & Performance Management, IT & Systems Engineering and Program & Project Management. We have significant experience with the Federal Government and are an EDWOSB dedicated to our employees and clients. Hiring Statement Abile is committed to hiring the most qualified and best fit person for the job - always has, always will. Anyone requiring reasonable accommodations should email careers@abilegroup.com with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Machine Learning Engineer3 days ago
Full TimeRemote

Abile Group is seeking a Post-Quantum Cryptography (PQC) Engineer to join our rapidly growing and innovative cybersecurity team! The Post-Quantum Cryptography (PQC) Engineer will play a key role in a groundbreaking federal cybersecurity modernization effort, joining the project a...

United States

Lead ML Platform Software Engineer

Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Machine Learning Engineer3 days ago
Full TimeRemote

This role provides a unique opportunity to lead the development and optimization of machine learning platforms that power autonomous mobility systems. The Lead ML Platform Software Engineer will drive the creation, scaling, and monitoring of ML pipelines, ensuring high-quality, r...

PythonC++RayKubeflowArgoDockerKubernetesAWS
United States