Remote Research Scientist Jobs in Los Angeles, California

Push the boundaries of knowledge and the state of the art in Shared Control for driving.

Experience with vehicle dynamics / autonomous vehicle control / driver modeling/ testing on real hardware is a major plus.

Develop vehicles incapable of causing a crash, regardless of the actions of the driver.

Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.

Bring advanced mobility technology to market faster.

Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.

Knowledge of human genetics, NGS, and genotyping experience is required.

Experience with genetics or molecular biology techniques including DNA and RNA library preparation, Target amplification, and NGS.

Prior experience with CLIA/CAP laboratory and genetic company is highly preferred.

Knowledge of HIPAA and laboratory SOPs, and regulatory and safety procedures.

Strong interpersonal skills and the ability to successfully complete projects.

R&D Manager, dotted line to Director of R&D

4 Years – Relevant manufacturing and supply chain business knowledge and experience

Experience may include a combination of work experience and education

6 Years- Relevant business knowledge and experience

experience may include a combination of work experience and education

Deep understanding of manufacturing and supply chain processes to scope project knowledge needs and conceptualize metrics for analysis

Manages model endpoints, model versioning and own model accuracy metrics.

-Experience in writing grant proposals is a plus.

As part of the job package, we also offer:

-Flexible medical benefits (i.e., you pick your insurance, we pay for it)

Who we are looking for:

-Be a member of a cross-functional team of scientists and engineers in optics-based sensor development.

-Generate new ideas and create proposals for new commercial and government projects.

Compensation: $150k-$200k Base + Bonus, No Stock, 401k, Benefits

Technology: $150k-$200k Base + Bonus, No Stock, 401k, Benefits

Or MSc + a few years of working experience

$150k-$200k Base + Bonus, No Stock, 401k, Benefits

Mathematics (stats, probability theory, linear algebra, calculus)

Culture: Fast paced, mission driven culture

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 programming skills in Python and experience with PyTorch.

PhD degree in Computer Science, Electrical Engineering, or a related field or 8+ years of equivalent experience.

Experience in developing and implementing generative AI algorithms, such as GANs, diffusions, view synthesis, depth estimation, or style transfer.

Excellent problem-solving and analytical skills.

Experience with video synthesis and manipulation.

Experience with 3D rendering and image-based rendering.

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.

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

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

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.

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

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.

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

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.

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.