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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 ...

LLNL

Explainable AI - Postdoctoral Researcher

Livermore, CA · On-site

$136K/yr

We have an opening for a Postdoctoral Researcher in Explainable AI to contribute to fundamental R&D on understanding what modern AI models learn and how that knowledge is represented internally. As ...

Fujitsu

Senior Researcher

Santa Clara, CA · On-site

$115K - $147K/yr

We have been a pioneer in technology and innovation for over 80 years, and we are committed to ... Researcher in Self-Improving Machine Learning We are seeking creative and intellectually ambitious ...

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Researcher In information

What does a researcher in 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 are the key skills and qualifications needed to thrive as a researcher in?

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.

How does a researcher 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.

Does being a researcher in pay well?

Researcher positions can offer competitive salaries, especially in fields like scientific research, data analysis, or market research, with pay often increasing with experience, education, and specialization. Salaries vary widely depending on industry, location, and level of expertise, but many research roles provide stable income and benefits. Advanced skills and certifications can also lead to higher compensation in this field.

Is being a researcher a good career?

Researcher roles involve conducting systematic investigations to gather knowledge in specific fields, often requiring strong analytical skills and attention to detail. The career can be rewarding for those interested in advancing knowledge, but it may involve long hours, limited job stability, and competitive funding or grants. Success often depends on expertise, publication record, and networking within the academic or industry community.

What does a researcher do as a job?

A researcher gathers, analyzes, and interprets data to generate new knowledge or support decision-making in a specific field. They often use tools like surveys, experiments, and statistical software, and may work in labs, offices, or field settings depending on their area of expertise.

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 August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

Researcher, Models

Cartesia

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Cartesia is a pioneering company focused on architecting AI that interacts with the world like humans. 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 research into scalable systems.
Responsibilities:
• Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures).
• Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.
• Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.
• Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.
• Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.
• Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.
Qualifications:
Required:
• Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).
• Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.
• Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).
• Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.
• A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.
• Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.
• Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.
Preferred:
• Prior research or publications in state space models, efficient Transformers or other alternative architectures.
• Research or practical experience in designing architectures for multi-modal systems.
• Early-stage startup experience or a track record of rapid innovation in R&D environments.
Company:
Cartesia provides real-time multimodal intelligence for all devices. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Early Stage.

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