Machine Learning Engineer

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.

Improve and maintain Machine Learning (“ML”) models and the underlying ML software tooling and infrastructure. Provide feedback on loop from hypothesis generation to live AB testing, with no cross-team friction and sub-day iteration cycles. Take on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labelling delay. Work with modeling techniques at the state-of-the-art of probability prediction, as well as a multitude of other ML (Machine Learning) areas from NLP (Natural Language Processing) to CNNs (Convolutional Neural Network). Utilize knowledge in Clojure, Go, and the many other cutting-edge opensource technologies that maximize the Company’s development velocity. Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system. Consult with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Use strong communication skills (written and verbal) to consult with data processing or project managers to obtain information on limitations or capabilities for data processing projects. Telecommuting may be permitted. When not telecommuting, must report to 900 Middlefield Road, 5th Floor, Redwood City CA 94063.Salary: $250,000 - $340,000 per year.

MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Computer Science, Electrical Engineering, or related field, plus 5 years of professional experience as Machine Learning Engineer, Software Engineer, or any occupation/position/job title involving developing and improving machine learning infrastructure.   

In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Computer Science, Electrical Engineering or related field, plus 3 years of professional experience as Machine Learning Engineer, Software Engineer, or any occupation/position/job title involving developing and improving machine learning infrastructure.

Must also have experience in the following: 3 years of professional experience performing coding utilizing at least two of the following: Python, PyTorch, PySpark, or Go; 3 years of professional experience applying machine learning to large scale problems; 3 years of professional experience utilizing computer science fundamentals, including data structures, algorithms, and architecting systems; 3 years of professional experience performing A/B testing; and 3 years of professional experience applying ML (including installs, events and revenue predictions) in Adtech industry.

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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