Staff Machine Learning Engineer
North America /
AppLovin – Engineering /
Full-time
/ Remote
AppLovin enables developers to grow their business. Businesses rely on AppLovin’s market leading technologies to solve their mission-critical functions with a powerful, full stack solution including user acquisition, monetization and measurement. AppLovin is headquartered in Palo Alto, California with several offices globally.
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Equality is essential to our purpose – our people are key to cultivating a culture of belonging where employees can engage as their true selves.
Fortune recognized AppLovin as one of the Best Workplaces in the Bay Area 2022, alongside The San Francisco Business Times and Silicon Valley Business Journal who have also awarded AppLovin one of the Bay Area’s Best Places to Work for the past four years. Check out the rest of our awards HERE.
Data driven decision-making is integral to marketing, game development and operations at Applovin. We’re looking for sharp, disciplined, and highly quantitative machine learning engineers with big data experience and a passion for digital marketing and game technologies to help drive informed decision-making. You will work with top-talent and cutting edge technology on, for example, but not limited to, performance marketing and next-generation games and have a unique opportunity to turn your insights into products influencing billions of users. The potential candidate will have an extensive background in distributed training frameworks, will have experience to deploy related machine learning models end to end, and will have some experience in data-driven decision making of machine learning infrastructure enhancement. This is your chance to leave your legacy and be part of a highly successful and growing company!
What you'll be doing:
- Collaborate with colleagues across multiple teams (Data Science, Operation Engineering and Data Engineering) on unique machine learning system challenges at scale.
- Leverage distributed training systems to build scalable machine learning pipelines including ETL, model training and deployments in Real-Time Bidding space.
- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks.
- Research state-of-the-art machine learning infrastructures to improve data healthiness, model quality and state management during the lifecycle of ML models refresh.
- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks.
- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.
Your background and who you are:
- MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
- 5+ years of industry experience with Python in a programming intensive role.
- 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning.
- 3+ years of industry experience with distributed computing frameworks such as Hadoop/Spark, Kubernetes ecosystem, etc.
- 3+ years of industry experience with popular deep learning frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, Caffe, etc.
- 2+ years of industry experience with major cloud computing services.
- Prior experience with ads product development (e.g., DSP/ad-exchange/SSP) and established a track record of innovation would be a big plus.
- An effective communicator – you shall be an ambassador of Applovin ML engineering at external forums and also have the ability to explain technical concepts to a non-technical audience.
Preferred Qualifications:
- Contributions to open source (e.g., C++/python/R packages) would be a plus.
- Proficient C/C++ coding experience.
- Motivation to make downstream modelers’ work smoother.
Perks
- Competitive salary and equity compensation
- Free medical, dental, and vision insurance
- Work from home stipend each paycheck
- 401k matching and employee stock purchase plan
- Flexible time off - take time when you need it
- AppLovin provides a competitive total compensation package with a pay-for-performance rewards approach.
The expected base pay range for this CA based position is $167,000 - $266,000. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical and other benefits.
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AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
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