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Researcher In Jobs in California (NOW HIRING)

Cartesia

Researcher, Models

San Francisco, CA · On-site

They are seeking a Researcher in Models to conduct groundbreaking research on neural network architecture design, develop novel architectures, and collaborate with cross-functional teams to translate ...

Cartesia

Researcher, Evals

San Francisco, CA · On-site

As a Researcher in Evaluations, you will design frameworks to evaluate how models reason and interact over time, working at the intersection of research, product, and infrastructure to develop ...

OpenAI

Researcher, Safety & Privacy

San Francisco, CA · On-site

The Researcher in Privacy-Preserving Safety will design and build privacy-preserving safety systems for frontier AI models, focusing on developing mechanisms for harm detection and mitigation while ...

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Researcher In information

What profession makes $400,000 a year?

In research-related fields, senior scientists, principal investigators, or research directors in industries like pharmaceuticals, biotechnology, or technology can earn $400,000 or more annually, often through a combination of salary, bonuses, and stock options. These roles typically require advanced degrees, extensive experience, and leadership skills, and may involve managing large teams or projects.

How do Researchers In typically collaborate with other departments or teams within an organization?

Researchers In often work closely with cross-functional teams such as data analysts, project managers, and subject matter experts to ensure their research aligns with organizational objectives. Collaboration usually involves regular meetings to discuss findings, share insights, and refine research questions based on feedback. This teamwork helps integrate research outcomes into broader projects, making communication and adaptability key skills for success in this role. Building strong professional relationships across departments can also open up opportunities for career growth and interdisciplinary projects.

What is the difference between Researcher In vs Research Analyst?

AspectResearcher InResearch Analyst
Required CredentialsTypically requires a degree in a relevant field, often with research experienceUsually requires a degree in business, economics, or related fields, with analytical skills
Work EnvironmentAcademic, scientific, or research institutionsCorporate, consulting firms, or market research companies
Employer & Industry UsageUniversities, research institutes, government agenciesPrivate companies, financial institutions, market research firms
Common Search & Comparison IntentUnderstanding research roles in academia or scienceComparing research roles focused on data analysis and market insights

The main difference between a Researcher In and a Research Analyst lies in their work focus and environment. Researchers In typically work in academic or scientific settings, conducting experiments or studies, while Research Analysts focus on analyzing data to inform business decisions in corporate environments. Both roles require strong research skills, but their industry applications and daily tasks differ significantly.

What jobs pay $10,000 a month without a degree?

Researcher roles in certain industries, such as market research or freelance research consulting, can pay $10,000 or more per month with relevant experience and skills. High-paying research positions often require strong analytical abilities, industry knowledge, and proficiency with data analysis tools, but may not require a formal degree if expertise is demonstrated through work or certifications.

What jobs do researchers have?

Researchers work in various fields such as science, social sciences, technology, and healthcare, conducting studies, experiments, and data analysis to generate new knowledge. They often work in laboratories, universities, or corporate settings, utilizing skills in critical thinking, data collection, and analysis tools. Job titles include research scientist, research analyst, research associate, and research coordinator, often requiring relevant degrees and specialized knowledge.

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

To thrive as a Researcher, you need strong analytical abilities, critical thinking, and a relevant academic background, often with an advanced degree in your field. Familiarity with statistical software, laboratory techniques, or research databases is typically required, along with any necessary certifications related to your discipline. Excellent written and verbal communication, curiosity, and perseverance help researchers effectively share findings and overcome challenges. These skills are crucial for producing rigorous, impactful research and advancing knowledge in the chosen field.

What jobs can you get as a researcher?

Researchers can work in various fields such as scientific research, social sciences, market analysis, or academic institutions. Common roles include research analyst, research scientist, data analyst, and research associate, often requiring skills in data collection, analysis, and reporting, with familiarity in tools like statistical software or laboratory equipment.

What does a Researcher do?

A Researcher is responsible for investigating specific topics or problems to discover new information, validate facts, and contribute to knowledge in their field. Their work typically involves designing and conducting experiments, collecting and analyzing data, reviewing existing literature, and publishing findings. Researchers may work in academic, scientific, corporate, or government settings, and they often collaborate with other experts. Their goal is to advance understanding and provide evidence-based recommendations or solutions.
What cities in California are hiring for Researcher In jobs? Cities in California with the most Researcher In job openings:
Researcher In jobs near you
Infographic showing various Researcher In job openings in California as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

AI Researcher in EBM

Logical Intelligence

San Francisco, CA

Other

Posted 9 days ago

Job description

Who we are

At Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct.

About the role

Join our team as an AI Research Engineer and help us push the boundaries of what's possible in logical reasoning! We're looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.

What you'll do
  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution
Qualifications
  • You have an M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasoning
  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.)

Bonus Points

  • Multi-node and multi-GPU training
  • Mathematical Reasoning - discrete math and logic
  • Formal Verification - lean

Apply