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13 open listings
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Intuit
Full-time · 2 locations · $188,500 – $274,000
This role builds the data infrastructure and frameworks that power Credit Karma's data platform, handling hundreds of terabytes daily across streaming pipelines, persistence layers, and real-time data serving. It suits engineers with deep experience in distributed systems, Kafka or Pub/Sub messaging, and cloud data platforms who want to shape developer experience across a large organization.
Listed on Intuit’s careers site · Apply there ↗
FuboTV
Full-time · New York, NY · $160,000 – $190,000
Fubo is hiring a data engineer to build scalable pipelines and analytics systems for their global streaming platform, working with Kafka, BigQuery, and Airflow across their tech stack. This role suits engineers with 4+ years of production backend or data engineering experience who want to influence a high-growth media company's data infrastructure.
Listed on FuboTV’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on building and maintaining the large-scale web data pipelines that feed Cohere's language models with high-quality training data. You'll own critical components like extraction, deduplication, and filtering while analyzing how data composition affects model performance, working across research and engineering teams.
Listed on Cohere’s careers site · Apply there ↗
Full-time · Remote - United States · $230,000 – $322,000
Reddit seeks a Staff ML Systems Engineer to design and build the infrastructure that powers their recommendation and content discovery systems at massive scale. You'll architect MLOps platforms, optimize distributed training pipelines, and work with graph structures containing billions of nodes while collaborating with ML teams across the company.
Listed on Reddit’s careers site · Apply there ↗
Udio
Full-time · New York, NY · $250,000 – $350,000 · Remote
Udio seeks a quantitative researcher to design evaluation frameworks and drive research initiatives for their music generation AI models, working with proprietary datasets and cross-functional teams. This role suits someone with strong statistical or mathematical training who enjoys autonomy in ill-defined problems and can bridge research, engineering, and product thinking.
Listed on Udio’s careers site · Apply there ↗
Menlo Ventures Portfolio
San Francisco, CA · $350,000 – $850,000
This role involves building infrastructure systems to train, evaluate, and deploy AI models at Anthropic, working across the full stack from data pipelines to performance optimization. It suits experienced infrastructure engineers comfortable with distributed systems, containerization, and large-scale ML workloads who want to contribute to AI safety research.
Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗
Cohere
Full-time · New York, San Francisco, Canada, United States, Toronto, Montreal · $160,000 – $325,000 · Remote
Cohere is looking for a Software Engineer to design and maintain the data infrastructure powering their AI model training at scale, working with petabyte-scale storage systems and collaborating with world-class researchers. This role suits someone with deep experience in distributed storage, data processing frameworks, and Kubernetes who wants to tackle novel infrastructure challenges in the AI space.
Listed on Cohere’s careers site · Apply there ↗
Intuit
Charlotte, NC
A foundational infrastructure role building the data frameworks and pipelines that enable Credit Karma's product teams to process and serve data reliably at scale. This suits engineers who enjoy designing developer-facing APIs and solving distributed systems challenges in high-throughput, production environments.
Listed on Intuit’s careers site · Apply there ↗
Remote - United States · $216,700 – $303,400
Reddit seeks a senior engineer to design and build the infrastructure platforms that enable the company's machine learning teams to train, optimize, and deploy recommendation and content discovery models at scale. This role suits experienced ML infrastructure engineers who enjoy solving complex systems problems in distributed computing environments and collaborating closely with model development teams.
Listed on Reddit’s careers site · Apply there ↗
Udio
Full-time · New York, NY · $180,000 – $220,000
This role involves building the data infrastructure that powers a generative audio company's research, focusing on ingesting and unifying large datasets from multiple external sources. You'll design systems for entity resolution, deduplication, and data enrichment at scale, working closely with ML researchers to prepare training-ready datasets.
Listed on Udio’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role involves designing and maintaining the synthetic data pipelines that power Cohere's language models, working across the full stack from raw data curation to model evaluation. It suits experienced software engineers who want to bridge research and production systems while directly improving AI model quality.
Listed on Cohere’s careers site · Apply there ↗
Udio
New York, NY · $180,000 – $220,000
This role owns the backend systems that organize content, power search and discovery, and serve real-time features at scale. It suits experienced engineers who enjoy building data pipelines, metadata systems, and high-reliability infrastructure that directly shapes the user experience.
Listed on Udio’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on building and optimizing data pipelines for training large language models, working at the intersection of machine learning research and engineering. You'll conduct experiments to improve data quality and model performance, collaborating with researchers and engineers on Cohere's foundation AI systems.
Listed on Cohere’s careers site · Apply there ↗