Staff Machine Learning Engineer - Ads Auction
You can apply to work remotely in any country in which we have a physical presence. Listing locations: USAFull-TimeStaff
Salary230,000 - 322,000 USD per year
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Job Details
- Experience
- 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
- Required Skills
- PythonJavaKafkaMachine LearningPyTorchSparkTensorflowDistributed Systems
Requirements
- 8+ years of experience with industry-level product development
- At least 5+ years focused on data-driven, marketplace-optimization problem space at scale
- Strong knowledge of ads marketplace optimization
- Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms
- Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink)
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference
- Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis
- Proven technical leadership in cross-functional settings
- Excellent communication, mentoring, and collaboration skills
Responsibilities
- Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
- Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
- Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—that optimizes the ads marketplace efficiency.
- Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews.
- Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
- Be a cross-functional advocate for the team, collaborate with cross-functional teams to innovate and build products.
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