Software Engineer, Machine Learning

AppLovin

Location

Palo Alto, CA

Posted

10 days ago

Department

Platform Engineering

What they actually want (must-haves)

Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or a related technical field, or equivalent practical experience
4+ years of experience developing and deploying machine learning systems in production environments
Experience with machine learning or deep learning in areas such as recommendation, ranking, retrieval, prediction, advertising, representation learning, or related applications
Experience developing and training machine learning models using large-scale datasets
Strong understanding of machine learning fundamentals, including model architectures, optimization, representation learning, feature engineering, and model evaluation
Strong programming and software engineering skills, with experience building reliable production systems

Nice to have

Experience developing user signals, features, or learned user representations for large-scale machine learning systems
Experience with large-scale recommendation or advertising systems, including candidate generation, retrieval, ranking, or prediction
Experience with representation learning, embeddings, feature interaction, or multi-task learning using large-scale user signals
Experience measuring the incremental value of user signals and understanding their downstream impact on ranking or recommendation performance
Experience developing and scaling deep learning architectures for recommendation, ranking, or advertising applications

What the job really is

As a Software Engineer specializing in Machine Learning at AppLovin, you will focus on enhancing user signal and recommendation technologies for their advertising platform. Your day-to-day responsibilities will include developing user signals, improving machine learning models, and collaborating with cross-functional teams to bring new approaches into production. You will tackle large-scale machine learning challenges, optimizing systems for performance and efficiency.

Benefits

Competitive total compensation package
Equity eligible
Health Insurance: Medical, Dental, Vision, Life, Disability
401(k) Retirement Plan
Unlimited Discretionary Time Off
10 paid holidays per year

Things to weigh

No specific mention of the tech stack beyond machine learning frameworks like PyTorch or TensorFlow
The role involves working with large-scale, sparse, noisy, and heterogeneous user signals, which may present unique challenges
The application window is expected to close within 30 days, indicating a potentially competitive hiring process

Job score3.8/5

Benefits4/5

Freshness5/5

Career value5/5

Role clarity5/5

Pay transparency0/5

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