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Machine Learning Engineer - Creative ML

Vungle

Vungle

Software Engineering, Data Science
United States · Remote
Posted on Friday, May 31, 2024

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.

Location:

This role is eligible to work out of any of our below North America office locations or is eligible for full-time remote work in one of our entities.

US office locations: Redwood City (HQ), Los Angeles, New York City

Additionally, Liftoff recently announced approved North American locations from which some employees may request to work from any city and county: California, Colorado, Idaho, Illinois, Florida, Georgia, Missouri, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Texas, Utah and Washington in the US, and Canada.

As a Machine Learning Engineer for the Creative ML team you will:

  • Own ML models are a part of a production decision-making system that has direct business impact. You will own a part of this system end-to-end, which includes state-of-art ML models and related engineering systems.
  • Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
  • Be a mentoring coach for team members and engineers from other teams.
  • Monitor latest ML research for practical ideas that the team could try.
  • Influence the roadmap for your team and potentially other teams.

Requirements:

  • 8+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
  • Hands on experience with deep neural networks in production at scale.
  • Experience Recommender Systems
  • Very strong engineering and coding skills.
  • Track record of strong execution and timely delivery of projects.
  • Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
  • Experience with PyTorch, Spark a plus
  • B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.
  • Experience with Adtech is a strong plus.

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 candidate location and experience. The following are our base salary ranges for multiple levels:

SF Bay Area, NYC, Los Angeles/Orange County: $215,000 - $260,000
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $200,000 - $240,000
All other cities and towns in our approved states: $185,000 - $225,000

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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 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.