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Snorkel AI
Redwood City, CA, United States
At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organiza
Job Source: Snorkel AISnorkel AI
Redwood City, CA, United States
Snorkel AI is looking for a distributed systems architect and backend engineer. The company’s flagship product is a cloud-based enterprise software used by data scientists and ML engineers. Snorkel products are used by large enterprises to solve their most impactful problems in today’s data-centric AI world. You will be part of the backend team tha
Job Source: Snorkel AISnorkel AI
Redwood City, CA, United States
Snorkel AI is looking for a distributed systems architect and backend engineer. The company’s flagship product is a cloud-based enterprise software used by data scientists and ML engineers. Snorkel products are used by large enterprises to solve their most impactful problems in today’s data-centric AI world. You will be part of the backend team tha
Job Source: Snorkel AIBluesky
Menlo Park, CA, United States
Bluesky is a platform that helps organizations optimize costs and maximize returns on their Snowflake investment. Although Snowflake has made analytics accessible to many and enabled faster business decisions, it has also created inefficiencies at scale. Our platform offers budgeting and forecasting tools, workload optimization, query analysis, ano
Job Source: BlueskyGroq
Mountain View, CA, United States
At Groq. We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally develo
Job Source: GroqNVIDIA
Santa Clara, CA, United States
We are looking for inquisitive and driven full-time software engineers with a strong interest in building high-quality, long-lasting systems. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work. From databases to web applications, build automat
Job Source: NVIDIADatabricks
Mountain View, CA, United States
P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights
Job Source: DatabricksDatabricks
Mountain View, CA, United States
P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights
Job Source: DatabricksRedwood City, CA, United States
As a Senior AI/ML Engineer, you'll build systems to power large-scale machine learning and foundation model (e.g. large language model) workloads. You’ll work closely with other engineers, product managers, and field team members to ensure that Snorkel Flow users working with different data modalities (e.g. text, PDF, image) and different use cases can build high quality training datasets, integrate with the latest foundation model technology to build and adapt models, and take advantage of state-of-the-art error analysis and development automation.
Main Responsibilities
Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, data engineering workflow systems, and end user experiences
Recognize and act on opportunities to integrate the latest foundation model and related technologies to power user workflows
Prototype, optimize, and maintain scalable back-end services that will power new ML and foundation model development workflows
Design extensible and testable interfaces between internal services including the underlying storage and data models
Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product
Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays
Required Qualifications
4+ years experience in delivering distributed and ML systems and services in a production setting for cloud-native applications
Experience with distributed compute frameworks and deep learning frameworks
Ability to design and build efficient scalable data storage, compute, and retrieval systems for AI/ML tasks
Strong communication and coding skills with emphasis on designing for scale and robustness
Experience owning the delivery of large multi-person projects
Preferred Qualifications
8+ years of professional software engineering experience
Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)
Strong development and debugging skills in Python
Experience working with foundation models (e.g. large language models)
Experience developing enterprise software products for machine learning and/or data science applications
The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $191,000.00 - $225,000.00.
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Email Alert for Senior Software Engineer — Backend (Distributed Systems) jobs in Redwood City, CA, United States
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