Machine Learning Engineer

February 21

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+14 more states

🏄 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

💵 $155k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Liftoff Mobile

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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.

Mobile advertising • App advertising • Mobile marketing • App marketing • Mobile User Acquisition

501 - 1000 employees

Founded 2012

📋 Description

• 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

🏖️ Benefits

• Equity • Health, vision, and dental benefits associated with your country of residence.