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Senior Staff Machine Learning Engineer, Bidding Intelligence

Liftoff
United States (Remote), United StatesRemotefull_timeVerifiedPosted 24 Apr 2025
💰 $315,000/yr($225,000/yr$315,000/yr)

About the role

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

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

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

  • SF Bay Area, NYC, Los Angeles/Orange County: $265,000 - $315,000
  • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $245,000 - $290,000
  • All other cities and towns in our approved states: $225,000 - $270,000

#LI-EL1

 

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, c

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Liftoff

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