Machine Learning Engineer

Liftoff, Inc.

NY(remote)

JOB DETAILS
SALARY
$235,000–$275,000 Per Year
SKILLS
Analysis Skills, Bidding, Budgeting, Code Reviews, Communication Skills, Computer Programming, Computer Science, Data Analysis, Diversity, Economics, Experiment Design, Hubs, Machine Learning, Mobile Advertising, Mobile Technology, Presentation/Verbal Skills, Production Systems, Risk, Software Development, Software Engineering, Statistical Modeling, Team Building, Team Player, Testing, Writing Skills
LOCATION
NY
POSTED
30+ days ago

About the Revenue Engine team

The Revenue Engine team works to understand the fundamental economics of the mobile ad tech marketplace, including the elasticity of demand and the effects of competition. The team of machine learning engineers, software engineers, and data analysts develops theories, validates those theories with experiments and analyses, and uses the learnings to build production systems that improve outcomes for Liftoff and its advertisers.

As a Machine Learning Engineer on the Revenue Engine team, you will:

  • Build statistical models and production systems to balance advertiser performance with business goals.
  • Tune optimization parameters, measure internal competition, and model dynamic environments.
  • Design and run experiments to validate theories underpinning the mobile ad tech economy.
  • Develop applications in the areas of advertiser budget retention and growth, optimal margin allocation, and bidding innovations.
  • Collaborate with a team of world-class engineers with diverse backgrounds as well as peers across the broader company (e.g. Operations, GTM).
  • Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.
  • Be part of an "engineering excellence" culture through state-of-the-art tools, risk-driven testing, explainable systems, and design/code review.

Requirements:

  • PhD in Computer Science, Machine Learning, Economics, or a related field.
  • Industry experience applying economics or machine learning to large scale problems.
  • Solid engineering and coding skills.
  • Excellent team communication and collaboration skills.
  • Experience with ad tech is a solid plus.

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 the candidates location and experience.

The following are our base salary ranges for this role:

  • SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $235,000 - $275,000
  • All other cities and towns in our approved states: $215,000 - $255,000

#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.

About the Company

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Liftoff, Inc.