479 Research jobs in Los Angeles
Research Scientist, Quantum

Posted 6 days ago
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**Minimum qualifications:**
+ Ph.D. in Physics, Electrical Engineering, a related field, or equivalent practical experience.
+ Experience with experimental operation of state quantum systems.
+ Experience with superconducting qubits and many-body quantum simulation.
+ Experience programming with Python.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ Ph.D. in Quantum Information Science.
+ Experience with superconducting qubit design.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
**Responsibilities:**
+ Design docs for analog-digital simulation platform that enables its use by internal and external users.
+ Develop new calibration protocols for analog simulation mode to improve fidelities.
+ Investigate and benchmark analog simulators using alternative superconducting qubits, e.g. fluxoniums.
+ Conduct analog-digital quantum simulation experiments aimed at outperforming classical simulation.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
AI Research Scientist
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Research Scientist - Biotechnology
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Research Scientist - Oncology
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Key Responsibilities:
- Design, execute, and optimize in vitro and in vivo experiments to assess the efficacy and mechanism of action of novel oncology drug candidates.
- Develop and validate assays relevant to cancer biology and drug discovery.
- Analyze experimental data, interpret results, and present findings clearly and concisely.
- Contribute to the strategic direction of oncology research programs.
- Collaborate closely with cross-functional teams, including medicinal chemists, pharmacologists, and clinical scientists.
- Maintain detailed and accurate laboratory notebooks and experimental records.
- Troubleshoot experimental procedures and identify solutions to technical challenges.
- Stay abreast of the latest scientific literature and technological advancements in oncology and drug discovery.
- Present research findings at internal meetings and external scientific conferences.
- Mentor junior research staff and contribute to a positive and collaborative lab environment.
Qualifications:
- Ph.D. in Molecular Biology, Cancer Biology, Pharmacology, or a related field.
- Minimum of 3-5 years of postdoctoral or relevant industry research experience in oncology.
- Proven expertise in cancer biology, cell signaling pathways, and immunology.
- Hands-on experience with various molecular and cellular biology techniques (e.g., Western blotting, PCR, flow cytometry, cell culture, immunohistochemistry).
- Experience with animal models of cancer and in vivo study design is highly preferred.
- Proficiency in data analysis software (e.g., GraphPad Prism) and statistical analysis.
- Strong publication record in peer-reviewed journals.
- Excellent written and oral communication skills.
- Ability to work independently and manage multiple projects simultaneously.
- Demonstrated ability to think critically and solve complex scientific problems.
This is an exceptional opportunity to make a significant impact in the fight against cancer by joining a world-class research organization dedicated to innovation and scientific excellence.
AI Research Scientist
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Responsibilities include conducting literature reviews, developing novel AI approaches, implementing and testing algorithms, and presenting findings to both technical and non-technical audiences. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field is required, along with a strong publication record in top-tier AI conferences or journals. Expertise in programming languages such as Python, along with deep learning frameworks like TensorFlow or PyTorch, is essential. Experience with natural language processing, computer vision, or reinforcement learning is highly desirable. You will be expected to stay abreast of the latest advancements in the field and contribute to the intellectual property of the company. This role is based in our vibrant Los Angeles, California, US office, offering a hybrid work model that blends in-office collaboration with remote flexibility. If you are passionate about AI and eager to make a significant impact, this is the opportunity for you.
Principal Research Scientist
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- Lead and conduct advanced scientific research in areas aligned with company objectives.
- Design, develop, and implement complex experimental protocols and methodologies.
- Analyze and interpret large datasets, drawing meaningful conclusions and identifying key trends.
- Develop novel theories, models, and processes.
- Write and publish research findings in peer-reviewed journals and present at scientific conferences.
- Mentor junior researchers and provide technical guidance to the R&D team.
- Collaborate with engineering and product teams to transition research discoveries into viable products or technologies.
- Manage research project timelines, budgets, and resources.
- Stay abreast of the latest scientific advancements and emerging technologies in the field.
- Contribute to the development of the company's intellectual property portfolio.
Qualifications:
- Ph.D. in a relevant scientific field (e.g., Chemistry, Physics, Biology, Materials Science, Computer Science) with a strong research focus.
- Minimum of 8 years of post-doctoral research experience in an academic or industrial setting.
- Demonstrated track record of leading successful research projects and publishing in high-impact journals.
- Expertise in a specific area relevant to the client's industry.
- Proficiency in advanced analytical techniques and scientific software.
- Strong understanding of experimental design and statistical analysis.
- Excellent written and verbal communication skills, including proposal writing and presentation abilities.
- Proven ability to think critically, solve complex problems, and innovate.
- Experience in project management and team leadership is essential.
- Ability to collaborate effectively with diverse teams.
This pivotal scientific role is based in Los Angeles, California, US , offering a unique opportunity to drive innovation and contribute to groundbreaking advancements. Our client offers a competitive salary, comprehensive benefits, and a stimulating research environment.
Research Scientist, Computer Vision

Posted 6 days ago
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Snap Research ( serves as an innovation engine for the company. Our projects range from solutions to hard technical problems that significantly enhance Snap's existing products, to riskier explorations that can lead to fundamental paradigm shifts in the way people communicate and express themselves. The team consists of scientists and engineers who experiment with and invent new technology that has a lasting impact on Snap's products.
We are looking for a Research Scientist to join the Creative Vision Research Team! At Creative Vision, we focus on making everyone into a creator. We believe creativity is achieved when technology understands the world, humans and objects, provides a range of creative generation and manipulation tools and efficient real-time experiences. Our technology impacts and contributes to multiple products at Snap.
What you'll do:
+ Lead and execute a multi-year research agenda
+ Work on large-scale multimodal generative projects
+ Share your expertise with other teammates and interns
+ Publish your work to top conferences
+ Partner with engineering teams to deliver your technology to millions of Snapchatters
Knowledge, Skills, & Abilities:
+ Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep learning literature
+ Demonstrated ability in defining, leading and executing challenging research projects
+ Strong computer science fundamentals, problem solving skills, programming (Python, C, C++)
+ Proven ability to lead interns, PhD students, and junior researchers
Minimum Qualifications:
+ PhD in a related technical field such as computer science, statistics, mathematics, machine learning or equivalent years of experience
+ Experience with large scale generative computer vision, machine learning, deep learning, or graphics in an academic or industrial research lab
+ Track record of publications in top-tier international research venues (e.g. ICLR, AAAI, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH)
Preferred Qualifications:
+ Proven ability to impact product with cutting edge research technology
+ Experience with multimodal machine learning, involving images, videos, audio, text, speech
+ Knowledge of 3D computer vision, non-rigid and articulated 3D registration and synthesis
+ Experience with large-scale data collection and annotation best practices
If you have a disability or special need that requires accommodation, please don't be shy and provide us some information ( .
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits ( : Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC) ( :
The base salary range for this position is $173,000-$59,000 annually.
Zone B ( :
The base salary range for this position is 164,000- 246,000 annually.
Zone C ( :
The base salary range for this position is 147,000- 220,000 annually.
This position is eligible for equity in the form of RSUs.
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About the latest Research Jobs in Los Angeles !
Lead Research Scientist, Bioinformatics
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Lead Research Scientist - Oncology
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Senior AI Research Scientist
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Responsibilities:
- Conduct advanced research in artificial intelligence, machine learning, deep learning, and related fields.
- Develop and implement novel AI algorithms, models, and frameworks.
- Design and execute experiments to evaluate the performance of AI systems.
- Translate research findings into practical applications and proof-of-concept prototypes.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Stay current with the latest research trends and advancements in AI and machine learning.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and engineers, providing technical guidance and support.
- Contribute to the strategic direction of AI research within the organization.
- Develop and present research proposals and project updates to stakeholders.
- Contribute to patent applications and intellectual property development.
- Identify and explore new research opportunities and areas of innovation.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of post-doctoral or industry research experience in AI/ML.
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
- Deep expertise in machine learning, deep learning, statistical modeling, and algorithms.
- Proficiency in programming languages such as Python, and ML frameworks like TensorFlow, PyTorch, or JAX.
- Experience with various AI domains such as NLP, computer vision, reinforcement learning, etc.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills for conveying complex technical concepts.
- Ability to work independently and collaboratively in a fast-paced research environment.
- Experience with large-scale data processing and distributed computing is a plus.
- Proven ability to lead research projects and mentor junior team members.