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.
This role will be part of the Traffic Management Team focused on Vungle Exchange, which is dedicated to optimizing the digital advertising landscape, ensuring the strategic allocation and efficient flow of ad traffic across our platform. We aim to enhance the user experience for both publishers and advertisers through the use of advanced traffic throttling, machine learning models, and cutting-edge fraud detection strategies. This team ensures the precision and effectiveness of ad delivery, contributing to Liftoff's mission of scaling revenue growth for mobile businesses.
Responsibilities:
- Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies.
- Have a closed feedback 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 labeling delay.
- Work with modeling techniques at the state-of-the-art of probability prediction, as well as a multitude of other ML areas.
- Become an expert in Python, Go, and the many other cutting-edge open source technologies that maximize our development velocity.
- Join a nimble, consistently excellent, and experienced engineering team (former Google/LI/Ooyala/etc).
Requirements:
- Strong experience in Python
- Very strong coding ability (experience in Go, C, C++, or Rust is a plus).
- 8+ yrs of total software engineering/relevant experience, with at least 4+ of those years having industry experience applying Machine Learning to large scale problems in Recommendation, Advertising, or Search
- Strong core CS fundamentals (data structures, algorithms, architecting systems).
- A passion for quality and excellence, and the ability to temper it when necessary to ship.
- Sets ego aside in pursuit of finding the best solution, no matter where it comes from.
- B.S. or higher in Computer Science or Mathematics. PhD a big plus.
- Fluent Mandarin and English language ability
Tech Stack Overview:
- Programming Language: Go (Golang)/Python.
- Distributed middleware systems: Kafka/Redis/RocksDB/MongoDB/S3.
- ML: Pandas/Numpy/Scipy/Sklearn/Spark/Pytorch/Tensorflow.
- Monitoring and Visualization: Grafana/Prometheus/Loki.
- Additional Tools: Docker/Kubernetes/AWS/Git/ArgoCD.
Liftoff's compensation strategy includes competitive market rate along with equity and benefits and perks that will give our employees what they need to do their best work. In order to ensure teams are compensated fairly for the work performed, we map out specific levels and take into consideration the cost of labor within each location.
The preferred location for this role is Beijing.
The TCC (Total Cash Compensation) for this role is RMB 500,000 - 700,000 annually.
Liftoff is an equal opportunity workplace, committed to providing equal employment opportunities for all candidates regardless of race, ethnicity, national origin, age, marital status, physical or mental disability, sexual orientation, gender identity, native language, religion, veteran status or any other characteristic protected by applicable law.
Liftoff provides employees a total compensation package of competitive market salaries, equity, health and wellness stipends, medical benefits associated with your country of residence. The base compensation will vary based on location, experience as well as level.
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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 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.
Agency and Third Party Recruiter Notice:
Liftoff does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team. All candidates must be submitted via our Applicant Tracking System by approved Liftoff vendors who have been expressly requested to make a submission by our Recruiting Team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Liftoff Recruiting Team and such a candidate was submitted to the Liftoff Recruiting Team via our Applicant Tracking System.