Senior Software Engineer (Machine Learning) - Economy ML

Required

• 5+ years of software engineering experience, including 2+ years building and operating ML infrastructure or ML-backed production services at high scale. Experience with recommendation, search, or ads systems is a strong plus.
• Solid engineering fundamentals in Python and at least one other backend language, with a track record of designing and operating distributed, low-latency services.
• Hands-on experience training and serving deep learning models in production with PyTorch, including scaling training across GPUs and nodes and deploying models on GPU inference servers. Comfortable profiling and optimizing for utilization, memory, latency, and cost.
• Experience building batch and streaming data pipelines and feature stores (e.g., Spark, Flink, Kafka), with attention to data quality and training/serving skew.
• You build systems that are easy to debug and operate, and you take ownership of production health, from monitoring and alerting to incident response.
• You enjoy working closely with ML engineers, platform teams, product managers, and data scientists across Marketplace, Payments, and Developer Monetization, and you can drive alignment in complex, multi‐stakeholder environments.
• You understand how infrastructure choices (latency, freshness, cost) affect model quality and product metrics, and you prioritize work by its impact on users, creators, and the business.
• BS, MS, or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
• Annual Salary Range
• $243,290—$295,250 USD
• Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).