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.
What we’re looking for:
Hands on ML/DL engineer with experience in both algorithmic research and writing production code. The ideal candidate will have the ability to lead complex projects from design to production.
Responsibilities:
- End-to-end responsibility of the machine/deep learning server side stack
- Train, benchmark and deploy machine/deep learning models, focused on the CV/NLP domains
- Monitor and maintain machine learning production pipeline
- Design and implement a training and benchmarking machine learning framework
- Design and implement internal tools for data labeling
- Manage server instances deployed on a global cloud
- Participate in system architecture and prioritization discussions
Requirements:
- At least 3 years industry experience with ML/DL development in the industry, including design of data pipelines and deployment of models to production environments
- 2+ years of industry experience with Python in a programming intensive role.
- 2+ years of industry experience working with cloud unix machines
- 2+ years of industry experience with popular deep learning frameworks such as Keras, Tensorflow, PyTorch, etc.
- At least BSc from a top university, preferably in CS/Math/Physics/Engineering
- Experience working with global teams
- Proficiency in English
Bonus Points:
- MSc/PhD degree in a quantitative discipline
- Machine learning research experience
- CV/NLP research experience
- Applied experience with machine learning on large datasets
- Industry cloud DevOps experience
- Industry experience as a software architect
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.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more
here.
If you are a California resident, read our
CA Privacy Notice to learn more about how AppLovin processes your personal information.
