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Tech Stack
Tools & technologiesPandasPythonSparkSQLTensorflowGo
About the role
Key responsibilities & impact- Design, develop, and deploy machine learning infrastructure for complex marketplace challenges
- Advance the ML training and serving platform with the company-wide ML Foundation team
- Optimize training and serving bottlenecks for throughput, cost, latency, GPU/accelerator utilization, and tail latency
- Identify system and operating-procedure instabilities to improve availability
- Build real-time feature-processing infrastructure and low-latency pipelines for fresh model features
- Lead infrastructure for a real-time sequential foundation model, including online sequence feature stores, streaming updates, long-context serving, and training pipelines
- Collaborate with product managers, data scientists, and machine learning engineers to co-design systems
- Engage stakeholders to align solutions with business goals
- Mentor engineers, set technical direction, and conduct code reviews
- Foster continuous improvement and technical excellence
Requirements
What you’ll need- Graduate degree (master's or PhD) in computer science, artificial intelligence, machine learning, operations research, or equivalent self study and experience
- 3+ years of industry experience building ML infrastructure or using machine learning to solve real-world problems with large datasets
- Deep expertise building, scaling, and managing ML infrastructure for training and/or serving in production
- Strong understanding of modern machine learning systems and MLOps
- Strong programming skills in Python and/or Go
- Expertise with SQL, Spark, and Pandas
- Expertise with Torch, TensorFlow, and XGBoost
- Strong analytical and problem-solving skills
- Excellent verbal and written communication skills
- Ability to collaborate with diverse stakeholders across all levels
- Willingness to work in new and unfamiliar domains, languages, and problem areas
Benefits
Comp & perks- Flexible choice of work location: home, office, or coffee shop
- Regular in-person events
- New hire equity grant
- Annual refresh equity grants
- Market-competitive compensation and benefits based on work location