Lead Engineer, ML Data Infrastructure & Systems

7 days ago

Base Salary

$220k - $350k/yr

Responsibilities

Own the data platform end to end, including on-device capture, upload over unreliable networks, object storage, and training-ready shards.
Design compression, codec, and storage-tier strategies for cost-effective 1080p30 media collection at very large scale.
Build reliable upload systems with on-device buffering, batching, retries, and visible drop-rate monitoring.
Own dataset packaging, versioning, and delivery to external research and training customers.
Coordinate with Shenzhen firmware teams so devices use a consistent ingest contract across SKUs.
Make platform health, cost, and drop rate observable as collection expands across sites and countries.

Have owned a production media or sensor data path at real scale, such as petabyte-scale object storage, video codecs and compression, unreliable-network upload, or training-shard and dataset formats.
Have experience with comparable large-scale data paths such as Tesla Autopilot, Waymo, Cruise, Zoox, Nuro, Samsara, Verkada, Netflix encoding, YouTube ingest, Scale, or Eventual/Daft.
Demonstrate strong software engineering skills in Python, at least one systems language, and Linux.
Measure and optimize cost and throughput rather than only validating demo success.
Nice-to-have experience includes pose or multi-camera data, AWS or GCP, Kubernetes, Airflow, Temporal, infrastructure as code, dataset management, annotation tooling, and delivery to external research or training customers.

Medical, dental, and vision packages with generous premium coverage.
$500 per month credit for waiving medical benefits.
$2k per month housing subsidy for employees living within walking distance of the office.
Relocation support for moves to San Francisco or Shenzhen.
Wellness benefits covering fitness and mental health.
Daily lunch and dinner at the office.
Unlimited compute budget subject to ROI justification.
Unlimited Codex and Claude credits, plus travel benefits.
Fully in-person work in San Francisco's Financial District or Shenzhen's Nanshan district.