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Implementation Science Research Jobs in California

Chapman University

Senior Research Scientist

Orange, CA

$85K - $90K/yr

Position Information Position Title Senior Research Scientist Position Type Limited-Term Job Number ... Contribute to implementation and analysis of the benchmark prototypes. * Prepare reports and submit ...

Chapman University

Senior Research Scientist

Orange, CA · On-site

$85K - $90K/yr

Posting Details Position Information Position Title Senior Research Scientist Position Type Limited ... Contribute to implementation and analysis of the benchmark prototypes. * Prepare reports and submit ...

Chapman University

Senior Research Scientist

Orange, CA · On-site

$85K - $90K/yr

Position Information Position Title Senior Research Scientist Position Type Limited-Term Job Number ... Contribute to implementation and analysis of the benchmark prototypes. * Prepare reports and submit ...

R&D Partners

Scientist III

Pleasanton, CA

$139K - $175K/yr

This range is provided by R&D Partners. Your actual pay will be based on your skills and experience ... Participates in routine lab maintenance, lab safety, ISO, and QSR implementation. * May ...

Benchling

Implementation Manager

San Francisco, CA · On-site

$116K - $157K/yr

Implementation Managers work with our customers, from small Biotech startups to the largest ... You will work hand in hand with the research scientists at our customers, and teams throughout ...

Intology

Research Scientist

San Francisco, CA · On-site

Design & implement novel architectures for automated research. * Collaborate with a focused group ... PhD or equivalent research experience in Computer Science, Machine Learning, Artificial ...

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Implementation Science Research information

What is the difference between Implementation Science Research vs Implementation Specialist?

AspectImplementation Science ResearchImplementation Specialist
CredentialsTypically requires a master's or doctoral degree in public health, healthcare, or related fieldsOften requires a bachelor's or master's degree in health sciences, public health, or related areas
Work EnvironmentResearch settings, academic institutions, healthcare organizationsHealthcare facilities, community organizations, clinics
Primary FocusStudying methods to promote the integration of research findings into practiceApplying strategies to implement evidence-based practices in real-world settings

Implementation Science Research focuses on studying and developing methods to facilitate the adoption of research findings into practice, often within academic or research settings. In contrast, Implementation Specialists are hands-on professionals who apply these strategies directly within healthcare or community settings to ensure effective implementation of evidence-based practices.

What are popular job titles related to Implementation Science Research jobs in California? For Implementation Science Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Implementation Science Research jobs in California look for? The top searched job categories for Implementation Science Research jobs in California are:
What cities in California are hiring for Implementation Science Research jobs? Cities in California with the most Implementation Science Research job openings:
Implementation Science Research jobs near you

Research Scientist, Gemini Safety

DeepMind

Mountain View, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Snapshot
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Gemini Safety team is accountable for the safety and fairness behavior of GDM's latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDM's latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.
About Us
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Role
We're looking for a versatile Research Scientist at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas. Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.
Key responsibilities:
  • Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
  • Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
  • Improve Gemini's adversarial robustness, with a focus on high-stakes abuse risks.
  • Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
  • Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
  • Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale
About You
In order to set you up for success as a Research Scientist on the Gemini Safety team we look for the following skills and experience:
  • PhD in Computer Science, a related field, or equivalent practical experience.
  • Significant LLM post-training experience

In addition, the following would be an advantage:
  • Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
  • Experience with Long-range Reinforcement learning
  • Experience in areas such as Safety, Fairness and Alignment
  • Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI
  • Experience taking research from concept to product
  • Experience with collaborating or leading an applied research project
  • Experience with JAX

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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