Lead Machine Learning Engineer, Bidding Intelligence

Posted 7 Days Ago
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Hiring Remotely in United States
Remote
Expert/Leader
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Liftoff helps mobile businesses grow.
The Role
As a Lead Machine Learning Engineer, you'll build advanced deep learning models for auction bidding decisions, collaborate with ML and Software Engineers, and create scalable systems while leveraging various data sources and technologies to meet business goals.
Summary Generated by Built In

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

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: $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

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



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.

Top Skills

Go
Python

What the Team is Saying

Nick
Deborah
Chris
GaYoung
Aya
Avi
Meshall
Alejandra
Alex
Maya
Darryl
Alexandra
The Company
Redwood City, CA
715 Employees
Remote Workplace
Year Founded: 2012

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.

Typical time on-site: None
Redwood, CA

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