Machine Learning Engineer

🕒 July 14

🏄 California, Colorado, +14 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $215k - $275k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Liftoff Mobile

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

📣 Marketing

Marketing • Advertising • Mobile

Liftoff Mobile is a leading platform designed to enhance mobile advertising and growth for businesses. The company specializes in leveraging advanced machine learning solutions through its Cortex platform to improve user acquisition, engagement, and monetization strategies in the mobile ecosystem. Liftoff's services cater to marketers, mobile game developers, and agencies, providing tools for performance marketing, creative ad solutions, and data-driven insights. Their offerings include products like the Vungle Exchange, Creative Studio, and Intelligence solutions, aimed at maximizing earnings and creating impactful ad experiences across mobile applications.

📋 Description

• 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.

🏖️ Benefits

• equity • health/vision/dental benefits