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Machine Learning Systems Researcher

Mountain View, CA

Pay
USD 186,000–240,000/year · Total compensationAnnual period assumed · Includes equity — pay source
Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $186,000—$240,000 USD Benefits
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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Lightmatter

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.

What you’ll bring

All qualifications

Core experience

  • 2 - 5 years of industry and/or research experience in the field.
  • Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
  • Ability to independently own projects from conception to completion.

Preferred experience

  • Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
  • 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."
Qualification wording
2 - 5 years of industry and/or research experience in the field.
Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
Ability to independently own projects from conception to completion.
Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
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."

Benefits in the posting

Full benefits wording
  • Comprehensive Health Care Plan (Medical, Dental & Vision)
  • Retirement Savings Matching Program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Family Leave
  • Short Term & Long Term Disability
  • Training & Development
  • Commuter Benefits
  • Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.
  • Export Control

From the employer’s posting.

Job description

View original posting ↗

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

Lightmatter is seeking a Machine Learning Systems Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology, and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.

This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

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.

Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.
$186,000—$240,000 USD

Benefits

  • Comprehensive Health Care Plan (Medical, Dental & Vision)
  • Retirement 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
  • Commuter Benefits
  • Flexible, hybrid workplace model
  • Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws. 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution. $186,000—$240,000 USD Benefits
Location & working pattern

Mountain View, CA

- Commuter Benefits - Flexible, hybrid workplace model - Equity grants (applicable to full-time employees)
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jun 30, 2026
Recorded sightings
46
Last seen by us
Oct 5, 2026

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