Machine Learning Engineer - Vungle Exchange
United States (Remote)
Applications have closed
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 our Machine Learning Engineer opportunity:
Looking for an engineer to build machine learning models with our data science team.
Responsibilities:
- Building test, measurement, and monitoring infrastructure to support modeling
- Defining requirements and collaborating with platform and data engineering teams
- 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 inefficient markets, game theory, and auction dynamics.
- 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.
- Building, validating, and monitoring ETL pipelines for model training
- Evaluating models with a critical eye toward datasets, metrics, and model selection
- Deploying models to production serving environments
Qualifications:
- Strong coding ability (experience in Go is a plus).
- 5+ years of industry experience applying Machine Learning to large-scale problems.
- 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.
- B.S. or higher in Computer Science. PhD a big plus.
- Meaningful experience in a back-end engineering role developing services or data engineering
- Strong math/stats/CS background and some exposure to machine learning, potentially through personal projects
- Experience with performance optimization, scaling for large data, building for stability, thread safety
- Some exposure to big data systems: Spark, Kafka, Cassandra, Dynamo, Redis, Mongo, Redshift, Presto, Hive, Athena, Glue, Druid, Flink, Dask, Ray, Tensorflow, PyTorch, XGBoost, Sklearn
- Cloud systems: EC2, Kubernetes, load balancers, Lambda, Travis, Jenkins, Datadog
- SQL fluency, database experience
- Ad tech or auction dynamics experience is a major plus
#LI-EL1
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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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena Big Data Cassandra Computer Science EC2 E-commerce Engineering ETL Finance Flink Kafka Kubernetes Lambda Machine Learning Mathematics ML models Model training Open Source PhD Pipelines Python PyTorch Redshift Scikit-learn Spark SQL TensorFlow Testing XGBoost
Perks/benefits: Career development Medical leave Parental leave Team events
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