Staff Machine Learning Engineer – Ads Predictions

What you'll do

• Design and improve models predicting user interaction, click-through rate, and conversion rate; develop retrieval algorithms.
• Work with large-scale datasets and cross-functional teams to productionize models and identify useful signals.
• Design and run experiments to validate model architectures and learning strategies.

What they ask for

• 8+ years applying machine learning and statistical modeling at scale.
• Deep experience with neural network architectures and training pipelines using TensorFlow or PyTorch; practical understanding of reinforcement learning and bandit-based optimization.
• Experience with high-volume data pipelines, A/B testing, and performance measurement; proficiency in Python and familiarity with SQL, Scala, or Java.
• Bachelor's, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.

Nice to have

• MS or PhD, or equivalent experience, in a related field.
• Foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms.

Pay

$216,200 to $324,800 USD base salary

Tools

TensorFlow, PyTorch, Python, SQL, Scala, Java

AI focus

Develop ad prediction, retrieval, and ranking systems using machine learning, deep learning, reinforcement learning, contextual bandits, multi-task learning, and LLM-based ranking signals.