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Master Research Jobs in California (NOW HIRING)

Cornerstone Research

Research Librarian

Los Angeles, CA · On-site

Master's degree in Library Science (MLS) is required, however, a Master's degree in another specialty may be considered in lieu of the MLS if the candidate also has significant research experience in ...

Scripps Research

RESEARCH ASSISTANT II - Jin Lab

San Diego, CA · On-site

$20.50 - $28.25/hr

Candidates possessing a master's degree, 2+ years' experience required. * Prior experience with mouse handling, mouse colony management, tissue collection, genotyping, or related animal research ...

LTD Global

Scrum Master

Berkeley, CA · On-site

$65 - $70/hr

About the Organization A nationally recognized research institution where your work directly ... About the Role As a Scrum Master, you will lead multiple Scrum teams and serve as a champion of ...

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Master Research information

What is a master research?

A Master Research job typically involves conducting advanced research in a specific field, often within academia, scientific institutions, or corporate R&D teams. Professionals in this role design experiments, analyze data, and contribute to the development of new theories, products, or technologies. They may also be responsible for writing research papers, securing funding, and collaborating with other experts. A Master Research position usually requires a master's or Ph.D. degree, along with strong analytical and problem-solving skills.

What are some typical daily responsibilities for a master research?

As a Master Researcher, your daily responsibilities often include designing and refining research protocols, collecting and analyzing complex data, and synthesizing findings into reports or presentations. You may work independently or as part of a collaborative team with other researchers, analysts, and subject matter experts. Regular tasks also involve literature reviews, grant writing, and presenting results to stakeholders or at conferences. This dynamic role requires balancing project timelines, adapting methods as needed, and ensuring that all research complies with ethical and institutional standards.

What are the key skills and qualifications needed to thrive in the master research position, and why are they important?

To thrive as a Master Researcher, you need advanced expertise in research methodologies, data analysis, and a relevant advanced degree such as a Master's or PhD. Master Researchers commonly utilize statistical software, specialized databases, and may hold certifications in project management or specific research areas. Strong communication, critical thinking, and attention to detail are valuable soft skills that set top candidates apart. These abilities are crucial for designing rigorous studies, leading research teams, and producing high-quality, actionable results.

What can I do with a master research?

A Master Research role involves conducting in-depth investigations, analyzing data, and producing detailed reports to support decision-making or academic purposes. Professionals in this field often work in research institutions, laboratories, or corporate settings, utilizing skills in data analysis, critical thinking, and research methodologies.

What are the most commonly searched types of Master Research jobs in California?

The most popular types of Master Research jobs in California are:

What are popular job titles related to Master Research jobs in California?

For Master Research jobs in California, the most frequently searched job titles are:

What job categories do people searching Master Research jobs in California look for?

The top searched job categories for Master Research jobs in California are:

Master Research jobs near you
Infographic showing various Master Research job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Member of Technical Staff - Research

Trajectory

San Francisco, CA • On-site

Full-time

Re-posted 13 days ago

Job description

Job Description
As a Member of Technical Staff (Research) at Trajectory, you will design and build the post‑training stack that lets our customers' models continually learn from real production workflows. You will own end‑to‑end experiments across data, training, and evaluation: shaping telemetry into learnable signals, training and serving custom LLMs and agents, and designing novel algorithms. You'll work directly with the founders and design partners, make foundational technical and product decisions, and help define both the culture and architecture of a company whose core mission is to enable continually learning intelligence.
Required Qualifications
  • Experience training or serving large language models
  • Experience building RL environments or evaluation suites for LLMs
  • Proficiency in PyTorch, JAX, or similar ML frameworks
  • Strong experimental design skills
  • Master's / research experience

Preferred
  • Background in pre- or post-training RL for LLMs
  • Experience with high-performance computing or large-scale clusters
  • Contributions to open-source ML research or infrastructure
  • Demonstrated technical creativity (research, OSS, side projects)
  • PhD (last year of PhD), working on AI / RL open source projects

About Trajectory
Trajectory is a research and product lab creating the platform for continual learning.
AI is the most capable software ever built, and the least able to learn. Every valuable correction and edit that happens in a product evaporates at the next session. A few teams have closed this gap by hand-coupling their models to their products: Composer, Claude Code, Windsurf SWE-1.
Trajectory is the first scalable approach for every company: our platform unlocks the signal already sitting in product use, so companies can continuously post-train large-scale agentic models that outperform the frontier. Working with leading AI companies, including Decagon, Clay, Harvey, Mercor, and Rogo.
Founded by researchers from Deepmind, OpenAI, Meta, Apple, Amazon, and Scale. $15M led by Conviction, with Fei-Fei Li, Jeff Dean, and founders of Notion, Braintrust, Modal, Hugging Face, and Dropbox.

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