Machine Learning Engineer - Supply Platform
at Liftoff
Costa Mesa, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 11 Sep, 2024 | Not Specified | 17 Jun, 2024 | 5 year(s) or above | Computer Science,Discrimination,Data Science,R,Childbirth,Color,Participation,Working Experience,Dignity,It,Data Engineering,Covey,Looker,C++,Tableau,Mathematics,Analytical Skills,Statistics,Python,Distributed Systems,Programming Languages,Java | No | No |
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Description:
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.
REQUIREMENTS
- BS/MS degree in Computer Science, Data Science, Mathematics, or a related field.
- 12+ years total professional technical experience
- 5+ years of experience as a Software Engineer.
- 8+ years of experience leading and executing machine learning projects.
- Deep expertise in machine learning algorithms.
- Extensive practical experience with ML frameworks and libraries.
- Proficiency in at least one of the following programming languages: Python, Go, R, C++, or Java.
- In-depth knowledge of distributed systems and data processing frameworks.
- Exceptional problem-solving and analytical skills.
- Advanced experience with data visualization tools such as Tableau or Looker.
- Proven ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Demonstrated leadership in the successful implementation of complex solutions.
- Highly self-motivated and comfortable working in a dynamic, fast-paced environment.
- Strong passion for mentoring and supporting team success.
NICE TO HAVE EXPERIENCE
- Working experience on Ad tech industry
- Strong mathematical background (statistics in particular).
- Working experience on Data engineering, feature Store
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: $215,000 - $325,000
Seattle/Olympia, Austin, San Diego, Santa Barbara, Boston: $200,000 - $300,000
All other cities and towns in our approved states: $185,000 - $280,000
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!
LI-JH1
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.
Please see the independent bias audit report covering our use of Covey here.
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 an individual or family member of the individual, marital or domestic partner status, age, veteran or military status, family care status, requesting or taking pregnancy, parental or disability leave, requesting an accommodation, or any other characteristic protected by federal, state, or local law, regulation, or ordinance. All such discrimination and harassment is unlawful and will not be tolerated. Liftoff maintains a continued commitment to equal employment opportunity and expects the full cooperation of all personnel.
Responsibilities:
- Develop and train machine learning algorithms to dynamically identify and prioritize high-value inventories for Real-Time Bidding (RTB) buyers. Continuously explore and reassess previously underperforming inventories to capture opportunities when buyer demand shifts positively.
- Utilize existing machine learning infrastructure, and enhance it as needed, to support the optimization goals. Ensure the infrastructure can handle the scalability and efficiency requirements for processing high-throughput, low-latency bid requests.
- Design, execute, and oversee experiments to test different optimization strategies. Ensure offline estimations closely mirror online revenue estimations using techniques such as counterfactual estimation and inverse propensity score methods. Perform advanced statistical analysis on experiment results to fine-tune the algorithms and improve their performance
- Collaborate closely with other engineering teams to ensure a robust data pipeline such that data is logged and aggregated efficiently and effectively. Ensure that the ML models can effectively leverage this data in bidder technology
- Mentor and guide a diverse team of world-class engineers, fostering an “engineering excellence” culture through the adoption of state-of-the-art tools, risk-driven testing, explainable systems, and rigorous code reviews.
REQUIREMENT SUMMARY
Min:5.0Max:12.0 year(s)
Information Technology/IT
IT Software - Application Programming / Maintenance
Software Engineering
Graduate
Computer Science, Mathematics
Proficient
1
Costa Mesa, CA, USA