greenhouse
Machine Learning Systems Researcher
Lightmatter
CAN
Junior · 2–5 years experience
Discovered 2 weeks ago
Free
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Responsibilities
- Stay up to date on the latest advancements in Machine Learning research.
- Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
- Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.
- Function as the Machine Learning expert in the room.
- Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.
Qualifications
- PhD in Computer Science, Electrical Engineering, or a related field.
- 2 - 5 years of industry and/or research experience in the field.
- Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling.
- Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
- Academic publications in relevant journals and industry conferences.
- Must have knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
- Ability to independently own projects from conception to completion.
- Preferred Qualifications
- Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
- Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth.
- Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "we are one Lightmatter."
- Adaptable and versatile, thriving in a high-speed, high-precision environment.
- We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.
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