Expression of Interest: Machine Learning Engineer

What you'll do

• Build and improve models for ad relevance, clicks, conversions, pricing, and marketplace performance.
• Develop and operate scalable ML pipelines, online inference systems, and supporting tools; improve reliability, latency, and throughput.
• Analyze user and auction data, run experiments, and collaborate across teams to translate business goals into modeling objectives.

What they ask for

• 5–12+ years delivering ML solutions in high-stakes production environments, such as Ads, Recommenders, Search, or Marketplaces.
• Strong foundations in machine learning and statistics, with expertise in areas such as ranking, calibration, causal inference, or multi-objective optimization.
• Experience across the ML lifecycle, including data pipelines, feature engineering, model architecture, inference optimization, and online deployment.
• Proficiency in Python and SQL, ML frameworks such as TensorFlow or PyTorch, and large-scale data processing stacks.

Nice to have

• Experience with Spark, Beam, or Flink.
• Technical mentorship and experience guiding complex ML initiatives.

Pay

$200,000 — $386,400 USD (base salary); $180,000 — $367,080 USD (base salary); $170,000 — $347,760 USD (base salary)

Tools

Python, Go, C++, TensorFlow, PyTorch, JAX, GCP, AWS

AI focus

Build and operate large-scale machine-learning systems for programmatic advertising and commerce media, including real-time bidding, ranking, pricing, and optimization.