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Data/ML Infrastructure Engineer
Matter IntelligenceRemote Sensing, company
San Francisco, United StatesSenior
Lowercarbon Capital
Toyota Ventures
Pear VC
Mark Cuban
E2MC Ventures
Kindred Ventures
Data & AI
About the role
TL;DR
Build and operate scalable data and ML infrastructure on AWS.
- •We are seeking a Data Infrastructure Engineer to build and operate the infrastructure that turns drone, aerial, and orbital sensing data into production datasets, models, and customer-facing insights.
- •Key Responsibilities Design, build, and operate scalable data and ML infrastructure on AWS.
- •Build and maintain systems for ingestion, processing, storage, and serving.
- •Partner closely with research to support perception model training and evaluation workflows.
- •Build platform primitives for observability, data versioning, lineage, evaluation, reproducibility, and operational excellence.
- •Partner with product engineering to ensure data
- •and model-derived insights are accessible through reliable, low-latency serving and retrieval interfaces.
- •Requirements Meaningful experience building production data infrastructure, ML infrastructure, or distributed systems.
- •Strong programming skills in Python and SQL.
- •Experience building and operating systems on AWS.
- •Familiarity with modern infrastructure and platform tooling, including Kubernetes, Docker, and Terraform.
Required skills
AWSPythonSQLKubernetesDockerTerraformPostgreSQLRedis
Nice-to-have skills
Apache KafkaApache FlinkSparkAirflowdbtDatabricksFivetranDagsterPrefectCI/CD
Benefits & perks
Competitive compensation, Equity package, Health, dental, and vision coverage
Tech stack
AWSKubernetesDockerTerraformPostgreSQLRedisPythonSQL