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Machine Learning Engineer

72% Flex
UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED
Remote: 
Full Remote
Salary: 
195 - 250K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

8+ years in ML with neural networks, Experience in Recommendation Systems, Strong coding skills, execution track record.

Key responsabilities:

  • Own ML models in production system
  • Adopt or build technologies for ML training
  • Mentor team members and monitor ML research
Liftoff Mobile logo
Liftoff Mobile Marketing & Advertising Large https://www.liftoff.io/
501 - 1000 Employees
See more Liftoff Mobile offers

Job description

Logo Jobgether

Your missions

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.

As a Machine Learning Engineer at Liftoff, 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.

  • Very strong engineering and coding skills.

  • Experience with Recommendation Systems 

  • 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.

  • B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.

  • Experience with AdTech is a strong plus.

Location:

This role eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MN, MO, NC, NJ, NV, OR, PA, RI, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and NYC.

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 candidate location and experience. The following are our base salary ranges for this role: 

SF Bay Area, NYC, Los Angeles/Orange County: $230,000 - $250,000
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $210,000 - $230,000
All other cities and towns in our approved states: $195,000 - $215,000

Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join the rocket ship and help shape the future of the mobile app ecosystem with us! 

 

#LI-VM1

#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 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.

 

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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Marketing & Advertising
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Mentoring
  • Team Collaboration
  • Problem Solving
  • Execution
  • Adaptability

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