Machine Learning Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
Mid level
AdTech • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Liftoff helps mobile businesses grow.
The Role
As a Machine Learning Engineer, you will develop and maintain machine learning models, optimize ML pipelines for real-time processing, monitor model performance, and collaborate with a team to leverage the latest ML research. Strong communication skills are essential for explaining concepts to both technical and non-technical audiences.
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.

As a Machine Learning Engineer at Liftoff, you will:

  • Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes.
  • Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
  • Monitor the latest ML research for functional ideas that the team could try.
  • Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing.
  • Model Monitoring & Improvement – Track performance, detect drift, and automate retraining.
  • Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
  • Collaborate with a team of world-class engineers with diverse backgrounds.
  • Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.

Requirements: 

  • 3+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
  • Experience with Recommendation Systems
  • Hands on experience with deep neural networks in production at scale.
  • Solid engineering and coding skills.
  • Track record of well-developed execution and timely delivery of projects.
  • Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
  • B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.
  • Experience with AdTech 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 candidate's location and experience.

The following are our base salary ranges for this role: 

  • SF Bay Area, NYC, Los Angeles/Orange County: $180,000 - $220,000
  • Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $165,000 - $205,000 
  • All other cities and towns in our approved states: $155,000 - $190,000 

#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.

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

Deep Learning
Machine Learning
Neural Networks

What the Team is Saying

Nick
Deborah
Chris
GaYoung
Aya
Avi
Meshall
Alejandra
Alex
Maya
Darryl
Alexandra
The Company
HQ: Redwood City, CA
645 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
HQRedwood, CA
Los Angeles, CA
New York, NY
Learn more

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