Staff Software Engineer, ML Platform

• Build state-of-art multimodal data mining and semantic search solutions to power AV product development. - Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar. - Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development. - Develop e2e solution for real-time semantic search services (text/images/videos) and vector DBs. - Discover and identify key issues in existing ML infra and proactively improve system performance. - Build low latency/high throughput batch or stream processing pipelines. - Drive technical discussions across multiple orgs and deliver solutions on a timely basis. - Architect and tune ETL pipelines to maximize GPU/CPU/Ram utilization. - Write readable and high-performance Python/C++ code. Qualifications:

• Experience with both ML platforms and building ML-based applications (modeling experience is a bonus). - Proven track record of building scalable, reliable infrastructure in a fast-paced environment. - Ability to collaborate effectively across teams. - Experience building or using ML infrastructure for a large number of customer teams. - Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others. - Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required). - Experience with model training, model optimization, or large data processing pipelines. - Prior experience in autonomous vehicles (AV) is a plus. - 6+ years of experience with:

• Multimodal data indexing and inference pipelines. - Building semantic search service, embedding generation for video/images and vector DB. - Large scale ML pipelines (Airflow/Flyte) and model optimization. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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