Machine Learning Research Engineer
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Before you apply
SalaryNo pay range posted
LocationMenlo Park, CA, Menlo Park, CA, United States
Typefull-time
SenioritySenior
DepartmentEngineering
Company size51–200 people
PostedDec 2, 2024 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Dec 2, 2024100% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
Strong software engineering skills in Pytorch, Python, CUDA, and Triton
Deep expertise in machine learning, including sequence modeling, generative models, and model architecture
Experience in pre-training and fine-tuning large multi-modal models
Proven track record of publications in top AI conferences and competitions
Experience implementing research papers into production code
Experience in developing and managing large-scale machine learning systems
Proficiency in configuring and optimizing hardware and operating systems for maximum performance
Experience building distributed training systems for AI models in high-performance computing (HPC) clusters
Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods
Skills
Pytorch
Python
CUDA
Triton
Benefits
Unlimited PTO
Health insurance
About Voltai
Voltai is the leading AI company building agentic systems and frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, we’re putting AI in the hands of hardware engineers in over 70% of the world’s largest semiconductor and electronics companies to have effortless control over their next-generation chip and board designs, powering the future of automotive, industrial automation, consumer electronics, IoT, and semiconductor manufacturing.
About the Team
Our founding team consists of IOI/IPhO olympiad medalists, Stanford professors, ex-CTO of Synopsys, and our business leadership has scaled revenue in their previous companies to over $1.5bn. At Voltai, we are combining the world’s best talent in the intersection of software and hardware.
Key Responsibilities
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Train foundation models from scratch that integrate multiple modalities.
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Train and fine-tune large language models (LLMs) and multi-modal models (MMMs).
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Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges.
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Structure and optimize data for model training, ensuring high performance and efficiency.
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Create data synthetically and collect it from human interactions for diverse tasks.
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Build and optimize both open-source and proprietary models, considering various constraints.
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Design and execute innovative search and retrieval algorithms.
Required Skillsets
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Strong software engineering skills, particularly in Pytorch, Python, CUDA, and Triton.
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Deep expertise in machine learning, including sequence modeling, generative models, and model architecture.
•
Experience in pre-training and fine-tuning large multi-modal models.
•
Proven track record of publications in top AI conferences and competitions.
•
Experience implementing research papers into production code.
•
Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods.
•
Experience in developing and managing large-scale machine learning systems.
•
Proficiency in configuring and optimizing hardware and operating systems for maximum performance.
•
Experience building distributed training systems for AI models in high-performance computing (HPC) clusters.
Our Benefits
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Unlimited PTO: Recharge when you need it, no questions asked.
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Comprehensive Health Coverage: Medical, dental, and vision insurance for you and your dependents.
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Free Meals and Snacks: Daily lunches, dinners, and snacks in the office.
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Professional Growth: We invest in your continuous learning and offer opportunities to expand your skills.
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Visa Sponsorship: We welcome global talent and provide visa sponsorship to support qualified candidates.