Remote Research Scientist Jobs in San Francisco, California

Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)

Experience with design of high-level APIs and frameworks

A passion for building creative tools with delightful user experiences

Strong verbal and written communication skills

Collaborate with other researchers at Adobe to invent state-of-the-art algorithms for these problems

Patent these algorithms and publish them at the premier computer graphics, vision and machine learning venues.

Experience working in a cross-functional environment with teamwork and excellent communication skills

Engage with our customers through more human experiences

Work with general managers, marketing and operation teams to identify and address their data modeling needs for better forecasting and planning

Experience in product analytics and experimental design

Experience with BI tools such as Looker, Tableau, PowerBI, etc.

Health, Dental, & Vision benefits plus savings plans

Past experience in creating high-performance implementations of deep learning algorithms

Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects

Be excited about OpenAI's approach to research

Interested in and thoughtful about the impacts of AI technology

Medical, dental, and vision insurance for you and your family

Mental health and wellness support

Stipends for education, home office improvements, commuting, and wellness.

Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights

Design and run robust experiments, both quickly in toy scenarios and at scale in large models

Build infrastructure for running experiments and visualizing results

Work with colleagues to communicate results internally and publicly

Have a strong track record of scientific research (in any field), and have done some work on Interpretability

Prior experience in analyzing and mitigating linkage attacks and privacy risks.

Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts effectively.

Are excited at the idea of democratizing state-of-the-art research (performance, compression, and privacy optimizations) for all companies and products

Proficiency in programming languages commonly used for privacy preservation, such as Python, PyTorch, or TensorFlow.

Familiarity with privacy frameworks and tools, such as PyDP, TensorFlow Privacy, and OpenDP.

Strong understanding of data privacy regulations and industry best practices.

Excellent problem-solving skills and ability to translate business requirements into analytical solutions.

LOCATION: Remote - Work from anywhere

Experience with database design, data engineering, and data manipulation languages (e.g., SQL).

Knowledge of programming languages such as Python or R for data analysis and model development.

Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.

JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)

Research Associate or Senior Research Associate: A BS degree in biology or relevant field with 2-6 years of hands on experience.

Title will be commensurate with experience.

Demonstrated hands-on experience executing experiments utilizing state-of-art human iPSC-derived neuron cell culture for at least one full year

Strong communication skills including public presentations

Previous experience building a startup biotech company a plus

Analytical skills including data analysis with programs such as Prism, Image J, and “R”

Strong SQL skills and experience with large datasets

LOCATION: Remote-United States only (TimeZone: PST/CIST | Full day overlap)

Work closely with software engineers, applied scientists, product managers, and designers.

Experience with data visualization tools

Analytical thinking, problem-solving skills, and a passion for numbers

Proficient written communication in a remote team setting, familiarity with Slack and Google Docs

Strong experience in Python and associated ML frameworks (Tensorflow, Keras, PyTorch, sklearn, etc.)

Experience in either Natural Language Processing, Computer Vision, or unsupervised learning approaches are all plusses!

Experience with either cloud or distributed training frameworks (AWS, GCP etc.) is a plus!

Salary Range $175 - $190k (Depending on experience & Geographic location) + Performance Based Bonus Plan

Carrying out world-class research oriented to improving NobleAI’s core AI technology

Working with and leading engineers and data scientists to integrate research advances into NobleAI products

Experience in at least two methods of advanced molecular spectroscopy.

Demonstrated experience in working with and/or supervising junior scientists, postgraduate and undergraduate students.

Demonstrated knowledge of modern C++, R and python for scientific computing.

Excellent analytical, organizational and multitasking skills.

Excellent verbal and written communication skills.

Lead a state-of-the-art quantum sensing laboratory for energy geoscience and environmental research.

Excellent oral and written communication skills including experience organizing and presenting technical reports to collaborators, JGI staff, management, and sponsors.

Strong analytical skills including experience identifying issues, problem-solving, troubleshooting complex experimental processes, decision-making, and providing analysis.

A minimum of 5 years of Postdoctoral and/or professional work experience in relevant areas of research.

Lead research and development activities in the areas of viral genomics and virus-host interactions.

Develop new experimental approaches to experimentally characterize virus-host interactions in model systems.

Develop new protocols leveraging digital droplet PCR and bead-based droplet PCR approaches.

Proficient software engineering skills and proficiency with PyTorch.

Knowledge of the systems aspects of how neural networks train and the resources used in the process of doing so.

Research experience in deep learning.

Also includes equity (stock options) and benefits

Systematize knowledge and adjudicate scientific truth.

Extensive experience with NLP for deep learning.

Good programming skills and experience with deep learning frameworks.

Proven experience in designing and implementing deep learning algorithms.

PhD or Master's degree specialized in Deep Learning or equivalent experience.

We do not require domain-specific knowledge in computer vision or speech-processing

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.

ObamaNet: Photo-realistic lip-sync from text.

Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)

Minimum of four years of proven experience doing state-of-the-art research and translating that research into product impact

Experience with design of high-level APIs and frameworks

A passion for building creative tools with delightful user experiences

Strong verbal and written communication skills

Collaborate with other researchers at Adobe to invent state-of-the-art algorithms for these problems

Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written

3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

Significant experience with SQL and large unstructured datasets such as Hadoop

Strong verbal and written communication skills

Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus

Meticulous record keeping and organizational skills are essential, as is the ability to communicate across a cross-functional team.

Strongest consideration will be given to candidates with a PhD in immunology, molecular biology, biochemistry.

Must be familiar with immunological principles and techniques including primary cell isolation, cell culture and flow cytometry.

Expertise in mRNA or DNA therapy, molecular biology, and innate sense of nucleic acids is highly deired.

The ideal candidate will have a background in cellular immunology, vaccinology and RNA or DNA therapy.

$62.07 to $118.85 per hour

Position located in a high-rise building.

Requires being stationary, consistent with office work, for extended periods.

Standard office environment (artificial lighting, controlled temperature, etc.).

Daily use of a personal computer, office equipment, and/or telephone.

Driving long distances using state vehicle fleet, operating out of an equipment warehouse.

Pay: $5,633.00 - $10,903.00 per month

Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).

5+ years of relevant research experience in the field of vehicle / robot autonomy.

Excellent collaboration and interpersonal skills

Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA).

Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.

Designing and implementing cutting-edge techniques in the field of vehicle autonomy.

Three years of relevant research and/or evaluation experience.

Bachelor’s degree required, or substitute with four additional years of related experience.

Intermediate to advanced skills in MS Office Word, Excel, and PowerPoint.

Research or evaluation experience with quantitative statistical software, such as SAS, SPSS, or R.

Demonstrated abilities of independent work, scientific reasoning, verbal presentation of scientific data, and production of written reports and/or scientific publications.

Substantial experience with evaluation-related technical assistance to local agencies.