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Lux Research Jobs (NOW HIRING)

O-Lux Technologies

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Senior Systems Engineer - MSP Experience Required

Naperville, IL · On-site

$90K - $120K/yr

... researching unfamiliar issues, communicating with clients, and assisting other engineers when they encounter difficult technical problems. About O-Lux Technologies O-Lux Technologies is a growing ...

Charge Robotics

Lead R&D Technician

San Leandro, CA · On-site

$49K - $64K/yr

About the role As the Lead R&D Engineering Technician at Charge Robotics, you'll lead our ... Partners, Lux Capital and Y Combinator (S21). Equal Opportunity Employer We are an equal ...

Charge Robotics

R&D Technician, Manager

San Leandro, CA · On-site

$90K - $120K/yr

About the role As the Manager of the R&D Engineering Technician team at Charge Robotics, you'll ... Partners, Lux Capital and Y Combinator (S21). Equal Opportunity Employer We are an equal ...

Western Magnetics

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

... Lux Capital, NFDG, Menlo Ventures, and other top investors. Westmag is committed to building and ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

Western Magnetics

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

... Lux Capital, NFDG, Menlo Ventures, and other top investors. Westmag is committed to building and ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

Western Magnetics

Operations Intern

South San Francisco, CA · On-site

$18.25 - $24/hr

... Lux Capital, NFDG, Menlo Ventures, and other top investors. Westmag is committed to building and ... Contribute to documentation, reporting, and research tasks as assigned. Requirements Eligibility ...

Western Magnetics

Engineering Intern

South San Francisco, CA · On-site

$20.25 - $26.25/hr

... Lux Capital, NFDG, Menlo Ventures, and other top investors. Westmag is committed to building and ... Contribute to engineering documentation, design reviews, and research tasks as assigned.

Applied Compute

General Application

San Francisco, CA · On-site

... Lux, and Greenoaks. * Who Thrives Here : We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with ...

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Lux Research information

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How much do lux research jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for lux research in the United States is $32.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $41.59 per hour, depending on experience, location, and employer.

What is Lux Research?

Lux Research is a research and advisory firm that specializes in providing insights, data, and analysis on emerging technologies and innovation. The company helps clients in various industries understand technological trends, assess new market opportunities, and make informed business decisions. Lux Research employs analysts and experts who conduct in-depth research on topics such as advanced materials, digital transformation, sustainability, and energy. Their services often include market reports, consulting, and customized research to support strategic planning and innovation management.

What are the typical challenges faced by analysts at Lux Research, and how can new team members navigate them?

Analysts at Lux Research often work on complex, rapidly-evolving technology landscapes, which can make it challenging to stay updated on the latest trends and to synthesize large volumes of technical information. New team members can navigate these challenges by leveraging Lux’s structured research methodologies, collaborating closely with more experienced colleagues, and participating in regular knowledge-sharing sessions. Building strong communication skills and proactively seeking feedback also helps in delivering actionable insights to clients and team members.

What are the key skills and qualifications needed to thrive as a Lux Research analyst, and why are they important?

To thrive as a Lux Research Analyst, you need strong analytical skills, industry-specific knowledge (such as in science, engineering, or business), and typically a relevant degree like a Bachelor’s or Master’s. Familiarity with data analysis tools, market research platforms, and proficiency in tools like Excel or specialized databases is important. Exceptional communication, critical thinking, and curiosity set standout analysts apart in this field. These skills are essential for delivering actionable insights and strategic recommendations to clients in fast-evolving innovation landscapes.

What is the difference between Lux Research vs Data Analyst?

AspectLux ResearchData Analyst
Required CredentialsTypically advanced degrees in science, engineering, or businessBachelor's degree in related field, often with certifications in data analysis
Work EnvironmentResearch firms, consulting, or corporate R&D teamsCorporate, finance, healthcare, or tech companies
Industry UsageUsed in consulting, market research, and innovation strategyUsed across various industries for data interpretation and reporting

Lux Research focuses on strategic market research and innovation consulting, often requiring advanced degrees and industry-specific knowledge. Data Analysts primarily interpret data to support business decisions, with a broader application across industries. While both roles involve research and analysis, Lux Research professionals typically work on high-level strategic projects, whereas Data Analysts focus on data processing and reporting.

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What job categories do people searching Lux Research jobs look for?

The top searched job categories for Lux Research jobs are:

Lux Research jobs near you
Infographic showing various Lux Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,212 per year, or $32.3 per hour.

Research Systems Engineer

Applied Compute

San Francisco, CA • On-site

$190K - $310K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

The role
As a research systems engineer, you'll train frontier-scale models and develop the methods that make continual learning work inside enterprise environments. You'll design and run experiments at scale, explore cutting-edge RL techniques, and build the tools that let us understand what's actually happening during training. This role sits at the intersection of research and systems. You'll invent new algorithms alongside researchers, then work with infrastructure engineers to run them on GPUs.
What you'll do
  • Post-train frontier-scale language models on enterprise tasks and environments
  • Explore and develop RL techniques, co-designing algorithms and systems
  • Contribute to Alchemy, our data research program for generating signal-rich training environments from production data
  • Build high-performance internal tools for probing, debugging, and analyzing training runs
  • Partner with infrastructure engineers to scale training and inference efficiently

What we're looking for
  • Experience training or serving large language models
  • Experience building RL environments and evaluations for language models
  • Proficiency in PyTorch, JAX, or similar ML frameworks, with experience in distributed training
  • Strong experimental design skills - you know how to set up experiments that actually answer questions

Strong candidates also have
  • Background in pre-training or post-training research
  • Previous experience in high-performance computing environments or large-scale clusters
  • Contributions to open-source ML research or infrastructure
  • Demonstrated technical creativity through published research, OSS contributions, or side projects

The U.S. base salary range for this full-time position is $190,000-$310,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
About us
Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.
  • Why we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.
  • Who we are: We're a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.
  • Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.

Benefits & Logistics
This role is based in San Francisco. We work from our office in the Mission. We offer:
  • Competitive compensation and equity
  • 100% employer-paid health insurance coverage
  • Unlimited PTO
  • Paid parental leave
  • Daily lunches and dinners
  • Transportation and relocation support
  • Retirement plans

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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