Lead Machine Learning Engineer, Bidding Intelligence

United States (Remote)

Liftoff

Liftoff helps advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps.

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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 Bidding Intelligence group

The Bidding Intelligence group is responsible for several of Liftoff's most fundamental performance systems in addition to identifying and developing greenfield areas. Liftoff operates and bids in millions of auctions per second. To drive value for our customers, we must continuously find ways to use a variety of data sources to train deep learning models and develop innovative approaches to make the right bidding decision in every auction.


As a Machine Learning Engineer on the Bidding Intelligence group, you will:

  • Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
  • Work with an experienced team of ML, Software, and Infrastructure Engineers
  • Design, engineer & implement reliable, scalable, and cost-efficient systems
  • Achieve core business objectives by enabling next generation ML models and technologies
  • Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

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), San Francisco, Los Angeles, New York City, Seattle

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,

Georgia, Missouri, Nevada, New Jersey, New York, Oregon, Rhode Island, Texas, Utah and

Washington in the US, and Canada.

 

Desired qualities and experiences:

  • 10+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure
  • 5+ years of industry experience applying Machine Learning to large scale problems
  • Very strong coding ability
  • Good team communication and collaboration skills
  • B.S. or higher in Computer Science (PhD is a plus)

Nice to have:

  • Previous experience in ad-tech
  • Experience building machine learning tooling and/or platforms
  • Python, Golang
  • ML, PyTorch, PySpark
  • Game theory, auction theory

 

Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join our team and help shape the future of the mobile app ecosystem. If this role sounds interesting to you, we would love to hear from you!

#LI-EL1

#LI-Remote

 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Computer Science Deep Learning E-commerce Engineering Finance Golang Machine Learning ML models Open Source PhD PySpark Python PyTorch Weights & Biases

Perks/benefits: Career development Competitive pay Equity / stock options Health care Medical leave Parental leave Team events

Regions: Remote/Anywhere North America
Country: United States

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