Materials Research Scientist Jobs in San Joaquin, California

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

We Offer The Following Benefits To Eligible Employees

Had experience of improving core recommendation algorithms in real products.

Good communication and technical leadership skills, able to mentor new graduates for working on short term applied research projects.

Conduct cutting-edge research in recommendation related problems, and apply the technology to different business scenarios.

Drive new technological innovation and land to real recommendation products

Mentor interns and new graduates for research.

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.

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

Experience with leading materials engineering projects for polymeric/composite structural parts.

Experience in material characterization, material selection and root-cause analysis of mechanical, thermal, and electro-mechanical performance of materials.

Ability to effectively communicate and collaborate with multi-functional teams about various topics such as product requirements, technology specifications, project schedules

Excellent written and oral communication skills

Attention to detail and a strong passion for quality

A proven dedication to continuous self-improvement.

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.

·Strong analytical and problem-solving skills with a deep understanding of statistical methods and experimental design.

Senior Research Scientist, Position Overview:

Conduct cutting-edge research on peptides and their application toward infectious diseases.

Experimental Design and Data Analysis:

·Authorization to live and work in the United States

PhD in Computer Science or Electrical Engineering (or equivalent experience)

At least 2 years of research experience in speech recognition or NLP

Develop new Deep Learning models for automatic speech recognition, speech synthesis, neural machine translation and natural language

Design new large scale training algorithm

Open-source models using NeMo conversational AI frameworks

Publish research papers on top speech and NLP conferences

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.

Strong background and experience in cancer research with training in molecular and cell biology

Experience with development of protein degraders and/or 3D/organoid solid tumor models is a plus.

Responsibilities will include but are not limited to the following:

Develop and implement cell-based assays to support target identification, validation, and drug

Design and conduct essential mechanistic experiments in cell biology, cellular biochemistry, molecular biology, and assay development

Conduct target discovery and validation experiments in close collaboration with bioinformatics, chemistry, and HTS groups

Experience with materials research with a focus on fundamental chemictry understanding of material structure and properties

Excellent interpersonal and communication skills.

The willingness to work in a laboratory setting and conduct experiments in gloveboxes and dry room environments.

The inclination to take initiative and ownership of your work and the ability to prioritize tasks.

A strong attention to detail.

Perform literature search on recent advances in state-of the-art instrumentation for characterizing battery cell components.

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

Must have hands-on lab experience with mammalian cell culture and molecular biology techniques

Responsibilities will include but are not limited to the following:

• Strong background and experience in cancer research with training in molecular and cell biology

• Experience with development of protein degraders and/or 3D/organoid solid tumor models is a plus.

1) explore disease biology enabling identification of novel drug targets;

2) develop and implement robust cellular assays to support discovery of small molecules as clinical development candidates;

Experience conducting research in space technology, image processing, AI/ML Machine Vision or related fields.

Strong programming experience in C++ or Python.

Excellent analytical and problem-solving skills.

Strong communication and presentation skills.

Conduct research in the field of AI/ML technologies, with an emphasis on video/image processing and analysis.

Analyze video data from space missions to extract information and develop AI/ML/MV algorithms to automate analysis.