Senior/Staff Machine Learning Engineer, Data Infrastructure
Mountain View, CA, USAAll locationsMountain View, CA, USABellevue, WA, USA On-site
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About the role
We are seeking a senior data infra engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating data infrastructure, training datasets, and orchestrating data workflows. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads. You will play a key role in shaping how model datasets are prepared to ensure the reliability, scalability, and performance of our data platform. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
What you'll bring
- Experience working with distributed computing frameworks such as Flink, Spark, Ray for distributed data processing
- Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines
- Experience optimizing big data pipelines and infrastructure for cost efficiency
- Strong programming skills in Python and experience working with large-scale distributed workloads
- Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)
- Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems
- Proven ability to lead technical direction and influence architectural decisions across teams without formal authority