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Gradient Learning Jobs in California (NOW HIRING)

Gradient builds the autonomous robots that make it possible. Partnered with the world's largest AI ... You'll touch nearly everything that comes through the shop, which means constant learning and room ...

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Gradient builds the autonomous robots that make it possible. Partnered with the world's largest AI ... A strong robotics and electrical generalist who thrives through continuous learning * Able to work ...

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Sr. Engineer, Machine Learning

Redwood City, CA · On-site

$127K - $175K/yr

LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. • Should have excellent understanding of ML lifecycle • Good understanding of system architecture. Have knowledge of ...

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How much do gradient learning jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for gradient learning in California is $41.54, according to ZipRecruiter salary data. Most workers in this role earn between $21.42 and $57.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Gradient Learning specialist, and why are they important?

To thrive as a Gradient Learning specialist, you need expertise in instructional design, educational technology integration, and a background in teaching or curriculum development, often supported by a relevant degree. Familiarity with learning management systems (LMS), digital assessment tools, and platforms like Google Classroom is common in this role. Strong communication, collaboration, and problem-solving skills are essential for engaging educators and supporting student-centered learning. These skills ensure the effective implementation of personalized learning strategies and foster successful educational outcomes.

How does a professional in Gradient Learning typically collaborate with educators and technology teams to implement personalized learning solutions?

Professionals working in Gradient Learning roles often serve as a bridge between educators and technology teams, ensuring that personalized learning platforms are effectively integrated into classroom environments. They collaborate with teachers to understand classroom needs, provide training, and gather feedback to refine digital tools. Simultaneously, they work closely with developers and product managers to relay user insights and help prioritize features that enhance student learning experiences. This cross-functional collaboration is essential for creating solutions that are both pedagogically sound and technically robust.

What is Gradient Learning?

Gradient Learning is an education-focused nonprofit organization that partners with schools and educators to develop innovative teaching tools and learning models. Their mission is to support student-centered education by providing resources such as curriculum content, professional development, and technology platforms. Gradient Learning is known for initiatives like the Summit Learning program, which emphasizes personalized learning, project-based instruction, and strong teacher-student relationships. They collaborate with schools to improve educational outcomes and empower teachers to tailor learning experiences to individual student needs.
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What job categories do people searching Gradient Learning jobs in California look for? The top searched job categories for Gradient Learning jobs in California are:
Infographic showing various Gradient Learning job openings in California as of July 2026, with employment types broken down into 2% Locum Tenens, 22% Full Time, 11% Part Time, 61% Temporary, 2% Contract, and 2% Summer. Highlights an 51% Physical, 1% Hybrid, and 48% Remote job distribution, with an average salary of $86,395 per year, or $41.5 per hour.

Hardware Technician

Gradient Robotics

San Francisco, CA • On-site

Full-time

Posted yesterday


Job description

About the Company
The datacenter buildout is the largest industrial project in human history. Gradient builds the autonomous robots that make it possible.
Partnered with the world's largest AI infrastructure companies and backed by the industry's best investors, we move fast and build full-stack systems that matter.
About the role
We're looking for a Hardware Technician to be the backbone of how Gradient Robotics builds and tests hardware day-to-day. This is intentionally a hands-on, high-ownership role. You'll support multiple teams at once while taking real ownership over your own projects and workflow. This is a role for someone who loves making things and making them better: you'll see a bottleneck in how parts get built or tested, design a fix, and document it so the whole team benefits. You'll touch nearly everything that comes through the shop, which means constant learning and room to grow quickly. The impact is significant: you'll keep hardware moving for every team, while building the skills and systems that make the whole shop run faster.
Responsibilities
  • Own task flow across teams: organize and prioritize incoming work from multiple teams and keep everything moving on schedule
  • Own the 3D printing equipment: operate and maintain various types of printers and keep them running reliably
  • Own your workflow: take ownership over your work and design projects that optimize how you and your team operate
  • Own documentation: communicate and document test results and data in a clear and concise way
Minimum Qualifications
  • Making experience (DIY projects, makerspace experience, etc.)
  • Proficiency in CAD
  • Experience diagnosing and resolving hardware issues
  • Ability to work efficiently under pressure and meet deadlines across multiple projects simultaneously, with strong prioritization skills
  • Willingness to take initiative and recognize areas of potential improvement without being asked
  • Excellent communication skills
  • Commitment to taking every opportunity to learn and develop engineering skills through hands-on experience
  • Comfort with ambiguity and a high-ownership mindset
  • Able to work on-site in San Francisco 5 days/week (6 days/week if needed during crunch time), embedded in the team
Preferred Qualifications
  • Experience at a hardware, robotics, or manufacturing company
  • Hands-on experience with a range of shop tools beyond 3D printing
  • Comfort using AI tools to multiply your own output