Software Engineer, Machine Learning

What you'll do

• Develop user signals, features, and representations for ranking, retrieval, prediction, and recommendation models.
• Improve model architectures, training and inference efficiency, and scalable ML tools and infrastructure.
• Design experiments and collaborate across teams to bring ML improvements into production.

What they ask for

• Bachelor's degree in a related technical field, or equivalent practical experience.
• 4+ years of experience developing and deploying production machine learning systems.
• Experience with ML or deep learning in recommendation, ranking, retrieval, prediction, advertising, representation learning, or related applications; and training models on large-scale datasets.
• Strong ML fundamentals and software engineering skills; experience with PyTorch or TensorFlow and diagnosing data, model, training, or serving issues.

Nice to have

• Experience developing user signals or representations for large-scale systems, or working on recommendation or advertising systems.
• Experience with distributed training, ML infrastructure, accelerator optimization, or offline and online experiments.

Pay

$221,000 — $331,000 USD (base salary)

Tools

PyTorch, TensorFlow

AI focus

Develops machine learning models and recommendation technologies using user signals; the posting also states that AI-assisted tools may be used to help identify and evaluate candidates, with hiring decisions made by human reviewers.