Lead Machine Learning Engineer, Bidding Intelligence

Liftoff Mobile, Inc; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer in the Bidding Intelligence group, where you will build cutting-edge deep learning models that drive accurate bidding decisions across millions of auctions. This innovative firm is looking for someone with extensive experience in machine learning and software engineering to collaborate with a talented team. Your contributions will be pivotal in shaping the future of the mobile app ecosystem. Embrace a fast-paced and dynamic work environment that thrives on creativity and innovation. If you are passionate about technology and eager to make an impact, this opportunity is perfect for you.

Qualifications

• 10+ years in Machine Learning or Software Engineering.
• Strong coding skills and team collaboration abilities.

Responsibilities

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

Skills

Machine Learning

Software Engineering

Deep Learning

Python

Golang

PyTorch

PySpark

Team Communication

Education

Bachelor's in Computer Science

PhD in Computer Science

Tools

AWS

Weights & Biases

Job description

United States (Remote)

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 Bidding Intelligence group

The Bidding Intelligence group is responsible for several of Liftoff's most fundamental performance systems in addition to identifying and developing greenfield areas. Liftoff operates and bids in millions of auctions per second. To drive value for our customers, we must continuously find ways to use a variety of data sources to train deep learning models and develop innovative approaches to make the right bidding decision in every auction.

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

Location:

This role is eligible to work out of any of our North America office locations or is eligible for full-time remote work in one of our entities.

US office locations: Redwood City (HQ), San Francisco, Los Angeles, New York City, Seattle

Additionally, Liftoff recently announced approved North American locations from which some employees may request to work from any city and county: California, Colorado, Idaho, Illinois, Georgia, Missouri, Nevada, New Jersey, New York, Oregon, Rhode Island, Texas, Utah, and Washington in the US, and Canada.

Desired qualities and experiences:

• 10+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure
• 5+ 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

Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join our team and help shape the future of the mobile app ecosystem. If this role sounds interesting to you, we would love to hear from you!