Be an early applicantLess than 25 applicantsPosted by Agency
ClickJobs.io · 2 days ago
Senior Distinguished Engineer, AI Systems
San Jose, CA
Full-time
Remote
Senior Level
$233K/yr - $266K/yr
7+ years exp
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Responsibilities
Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.
Design and build infrastructure for serving large ML models, in the public cloud.
Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in the public cloud.
Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection.
Develop applications that leverage LLMs and FMs.
Design and implement capabilities to support MLOps for foundation models.
Qualification
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Required
Bachelor's degree in Computer Science, Computer Engineering or a technical field
At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems
At least 5 years of experience developing AI and ML algorithms in Python or C/C++
At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.
Preferred
Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.
Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.
Experience architecting cloud systems for security, availability, performance, scalability, and cost.
Experience with delivering very large models through the MLOps life cycle from exploration to serving.
Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.
Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.
Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.
Benefits
Health Insurance
Performance based incentive compensation
Company
ClickJobs.io
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
