Crypto

Crypto

60 jobs near Columbus, OH

The role involves designing and engineering systems for complex ML and ETL pipelines to ensure ... hyper-fast distributed systems at the scale of thousands of GPUs • building great internal ...

Role As a distributed systems engineer, you'll work across the stack to solve problems as they come up and help build Archil volumes. You'll have significant influence over the technical and product ...

Title: Crypto Systems Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the ...

$200 - $300/hr

Experience with high-scale distributed systems * Experience leading teams and mentoring more junior developers * Familiarity with Typescript and a relevant frontend framework (e.g. React) * You've ...

Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines ...

Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines ...

Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines ...

Distributed systems and data pipeline engineering. Time-series observability stacks (Prometheus, Thanos, VictoriaMetrics). API design and versioning at scale. Workflow and orchestration engines ...

... engineering practices like unit testing, profiling and effective logging. Experience in functional/scaleable languages (Scala preferred, Python, R may be considered) Experience delivering distributed ...

Showing results 21-40

Distributed Systems Engineer

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications requiring high-quality training data. The role involves designing and engineering systems for complex ML and ETL pipelines to ensure efficiency and reliability.
Responsibilities:
• design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video.
• optimizing for system uptime
• working with cloud technologies
• optimizing hyper-fast distributed systems at the scale of thousands of GPUs
• building great internal tooling and CI/CD for rapid iteration.
Qualifications:
Required:
• 3+ years of experience building foundational data infrastructure
• Proficient in working across diverse cloud architectures
• Designed and maintained pipelines that process petabytes of data
• Developed robust CI/CD pipelines tailored for ML-focused teams
• Strong coding experience with Go and Python
• Operates as an IC who leads by example
• Experience with large-scale video data systems
• In-person at our SF HQ
Preferred:
• Experience with Rust is a plus
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.