Principal Machine Learning Infrastructure Researcher

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.
• Lead a small team of Machine Learning engineers

Qualifications

• PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry 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.
• Strong knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
• Proven track record leading a team to deliver published results.

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.
• Experience in managing engineers and leading projects, with the ability to lift up the team, and work with high standards and high collaboration.

Pay

On target earnings range is listed below. The final compensation will be determined based on location, experience, educational background, and market data.

• Sales Compensation: $300,000 - $350,000 USD

Benefits

• Comprehensive Health Care Plan (Medical, Dental & Vision)
• Retail Savings Matching Program
• Life Insurance (Basic, Voluntary & AD&D)
• Generous Time Off (Vacation, Sick & Public Holidays)
• Paid Family Leave
• Short Term & Long Term Disability
• Training & Development
• Commute Benefits
• Flexible, hybrid workplace model
• Equity grants (applicable to full-time employees)