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Phd Library Science Jobs in California (NOW HIRING)

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Prior NGS library preparation experience is strongly preferred. Experience operating sequencing ... PhD candidates are generally not preferred due to potential overqualification concerns.Description:

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a quantitative field * A demonstrated track record of independently driving data science projects to ...

Protein Designer

Emeryville, CA · On-site

$130K - $180K/yr

A Bit About Us: We are Arcadia Science, an evolutionary biology company founded and led by ... PhD or equivalent experience in biochemistry, biophysics, bioengineering, or related field * At ...

Protein Designer

Emeryville, CA · On-site

$130K - $180K/yr

A Bit About Us: We are Arcadia Science, an evolutionary biology company founded and led by ... PhD or equivalent experience in biochemistry, biophysics, bioengineering, or related field * At ...

A Bit About Us: We are Arcadia Science, an evolutionary biology company founded and led by ... PhD or equivalent experience in biochemistry, biophysics, bioengineering, or related field * At ...

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Phd Library Science information

See California salary details

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How much do phd library science jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for phd library science in California is $15.53, according to ZipRecruiter salary data. Most workers in this role earn between $11.63 and $17.31 per hour, depending on experience, location, and employer.
What cities in California are hiring for Phd Library Science jobs? Cities in California with the most Phd Library Science job openings:
Infographic showing various Phd Library Science job openings in California as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Contract, and 1% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $32,303 per year, or $15.5 per hour.

Sr. LLM Applied Scientist - PhD/Research Masters

Pandita AI Inc

San Jose, CA

$115K - $147K/yr

Other

Posted 2 days ago


Job description

Company Description

Pandita AI Inc is a leader in machine learning innovation, driving transformative advancements in how industries leverage data and AI technologies. The company is dedicated to delivering cutting-edge solutions that empower businesses and individuals to unlock new potential. Our expertise spans multiple sectors, earning us a reputation as a trusted partner in the field. With innovation and excellence at its core, Pandita AI is shaping the future of intelligent systems.


Role Description

This is a full-time on-site role for a Senior LLM Applied Scientist, located at our San Jose, CA office. The role involves conducting advanced research to develop state-of-the-art machine learning models, specializing in Large Language Models (LLMs). Day-to-day responsibilities include designing and implementing novel algorithms, developing solutions for complex problems in NLP and AI, collaborating with cross-functional teams, and publishing findings in top-tier research conferences. The ideal candidate will also mentor junior team members and contribute to the strategic direction of AI initiatives within the company. The LLM Scientist must have experience with text-to-code


Qualifications

  • PhD or Master's degree in a related field (e.g.,EE, Mathematics, or equivalent experience)
  • Strong publication record.
  • Deep expertise in Pattern Recognition and Research methodologies
  • Experience conducting and publishing high-quality research in relevant fields
  • Proficiency in developing and fine-tuning machine learning models, with a focus on LLMs
  • Strong programming skills in languages such as Python and familiarity with libraries like PyTorch or TensorFlow
  • Proven ability to solve complex problems and innovate in machine learning and natural language processing
  • Strong communication and collaboration skills, with experience working in team-based research environments