Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.
Liftoff’s solutions, including Accelerate, Direct, Influence, 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 team:
The Conversion ML team is responsible for improving and maintaining machine learning models that have a pivotal impact on the performance of Accelerate customers’ advertising campaigns. The team collaborates closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.
Location:
This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or Germany. ML Engineers located in Paris will be asked to come into the office once a week and once a month if located in one of the above countries.
Responsibilities:
- Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies.
- Have a closed feedback loop from hypothesis generation to live AB testing, with no cross-team friction and sub-day iteration cycles.
- Take on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay.
- Work with modeling techniques at the state-of-the-art of probability prediction, as well as a multitude of other ML areas.
- Become an expert in Clojure, Go, and the many other cutting-edge open source technologies that maximize our development velocity.
- Join a nimble, consistently excellent, and experienced engineering team (former Google/LI/Ooyala/etc).
Requirements:
- Very strong coding ability (experience in Go or Clojure is a plus).
- 4+ years of industry experience applying Machine Learning to large scale problems.
- Strong core CS fundamentals (data structures, algorithms, architecting systems).
- A passion for quality and excellence, and the ability to temper it when necessary to ship.
- Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
- B.S. or higher in Computer Science. PhD a big plus.
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Please see the independent bias audit report covering our use of Covey here.
Liftoff is committed to providing and maintaining a work environment where all employees and candidates are treated with dignity and respect and that is free of bias, prejudice, and harassment. Liftoff is further committed to providing an equal employment opportunity for all employees and candidates for employment free from discrimination and harassment on the basis of sex, gender (including sexual harassment, gender harassment, and harassment due to pregnancy, childbirth, breastfeeding, and related conditions), sexual orientation, gender identity, gender expression, gender nonconformity, race, creed, religion, color, national origin, ancestry (including association, affiliation, or participation with persons or activities related to national origin, English-proficiency or accent, or immigration status), physical or mental disability, medical condition(s), genetic information of an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.
Liftoff's Compensation Strategy
Liftoff's compensation strategy includes competitive market rate along with equity and benefits and perks that will give our employees what they need to do their best work. In order to ensure teams are compensated fairly for the work performed, we map out specific levels and take into consideration the cost of labor within each location. Liftoff provides employees a total compensation package of competitive market salaries, equity, health and wellness stipends, medical benefits associated with your country of residence. The base compensation will vary based on location, experience as well as level.
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.
What We Do
Our mission is to help advertisers, publishers, game developers and Demand Side Platforms scale revenue growth with solutions to market and monetize their mobile apps. We support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, e-commerce, and entertainment. As a globally distributed team, we value collaboration and communication. We care about fostering a welcoming and inclusive culture for our all of our team members and beyond.
Come join the rocket ship! 🚀
Why Work With Us
Our values -Growth Mindset, Guided By Data, Agency & Urgency, In This Together- fuel our team-first approach in continually ensuring every employee is supported, valued, and empowered. Come join our team!
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Liftoff Offices
Remote Workspace
Employees work remotely.
We are a remote first company with Hubs located around the world. These Hubs are a place for employees and teams to gather for purposeful, collaborative and productive work and to host events throughout the year.