As a Machine Learning Engineer at Liftoff, you will:

• Own ML models are a part of a production decision-making system that has direct business impact. You will own a part of this system end-to-end, which includes state-of-art ML models and related engineering systems.

• Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)

• Be a mentoring coach for team members and engineers from other teams.

• Monitor latest ML research for practical ideas that the team could try.

• Influence the roadmap for your team and potentially other teams.

Requirements: 

• 5+ 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.

• Very strong engineering and coding skills.

• Track record of strong 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 strong plus.

Location:

This role eligible for full-time remote work in one of our entities: CA, CO, ID, IL, FL, GA, MA, MN, MO, NC, NJ, NV, OR, PA, RI, TX, UT, and WA. We are a remote-first company with US hubs in Redwood City, Los Angeles, and NYC.

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 multiple levels:

SF Bay Area, NYC, Los Angeles/Orange County: $180,000 - $250,000
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $165,000 - $230,000
All other cities and towns in our approved states: $155,000 - $215,000

Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join the rocket ship and help shape the future of the mobile app ecosystem with us! 

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