Staff Machine Learning Engineer, Autopilot

Liftoff Mobile; United States; Remote; USD 190,000 - 260,000; Full time

Job summary

A leading company in the mobile industry seeks a Staff Machine Learning Engineer to develop and maintain their budget pacing system. The role involves building advanced deep learning models and collaborating with a skilled team to optimize ad spending. This position offers full-time remote work options across various US states, with competitive compensation based on location and experience.

Benefits

Equity

Health Benefits

Vision Benefits

Dental Benefits

Qualifications

• 6+ years of industry experience in Machine Learning.
• 3+ years applying Machine Learning to large scale problems.

Responsibilities

• Build deep learning models for accurate bidding decisions.
• Design and implement reliable, scalable systems.

Skills

Machine Learning

Software Engineering

Team Communication

Education

B.S. in Computer Science

PhD

Tools

Python

Golang

PyTorch

PySpark

Job description

Staff Machine Learning Engineer, Autopilot

Join to apply for the Staff Machine Learning Engineer, Autopilot role at Liftoff Mobile

Staff Machine Learning Engineer, Autopilot

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Join to apply for the Staff Machine Learning Engineer, Autopilot role at Liftoff Mobile

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 Autopilot Team

The Autopilot team is responsible for developing and maintaining Liftoff’s budget pacing system, a critical component of our Accelerate product. Accelerate allows customers to set a defined advertising budget with daily spend limits, and the Autopilot system intelligently determines how to allocate that budget throughout the day. Our goal is to maximize the utility and performance of each ad dollar spent by dynamically adjusting spend pacing and optimizing ad opportunities in real time. The Autopilot team builds the systems and algorithms that ensure our clients’ budgets are used efficiently and effectively, driving high-value outcomes at scale.

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:

• 6+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure
• 3+ 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: $220,000 - $260,000
• Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $200,000 - $240,000
• All other cities and towns in our approved states: $190,000 - $225,000
  
  
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Advertising Services

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