Principal research scientist jobs in Medford, OR

When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it's just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report. When you join Cedars-Sinai, you become part of a team that is at the forefront of medical advancements. Working alongside physician-scientists and researchers, you will be a part of life-saving medical and scientific breakthroughs. Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientist, the Research Fellow will perform routine and complex laboratory procedures throughout training period. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds. Primary Duties and Responsibilities May assist in preparation of grant proposals, but is not responsible for generating grant funds. May participate in publications and presentations as author or co-author. Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols. Analyzes, interprets, summarizes and compiles data. Performs routine and complex laboratory procedures throughout the training period. Operates and maintains equipment and instruments. Qualifications Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience and Skills: Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Works independently on research projects designed by a mentor (typically the PI) within the area of specialization. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, operation and maintenance of specialized equipment. Excellent written and oral communication skills are essential. Knowledge of safety standards. Req ID : 13845 Working Title : Postdoctoral Scientist -Urology Department : Urology Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Postdoctoral Scholar Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $62,400 - $93,600

Innovative research paves the way for improved patient outcomes. You can be a part of the research that's driving new treatments and procedures at Legacy. In your role, you will provide clinical or scientific expertise to a team working to transform medical care. If you're ready to grow your skills and share in the Legacy mission of making life better for others, we invite you to consider this opportunity. A Postdoctoral Research Fellow position is available at Legacy Devers Eye Institute, Portland, Oregon. The successful candidate will be responsible for carrying out independent research, working closely with Dr. Kazuhiro Kurokawa and his team at Discoveries in Sight Research Laboratories. A unique and specialized research environment will allow you to address key scientific questions requiring accurate and precise measurements. Specifically, we will leverage the full potential of adaptive optics optical coherence tomography (AO-OCT) and fluorescence scanning laser ophthalmoscope (AO-fSLO) to study glaucoma and other neurodegenerative diseases. We encourage you to apply if you want to make a difference. We are looking for a Postdoctoral Research Fellow with relevant background in the fields of biomedical engineering, ophthalmic imaging, vision science, and ophthalmology. Since the study involves both software and hardware design, development, and delicate implementation, the Postdoctoral Research Fellow is expected to have a strong engineering background as well, especially in the field of computer science and optics. Also, it is critical to have excellent communication skills to work with other colleagues with diverse backgrounds. The ideal candidate will be self-motivated, pay close attention to the details and their environment, and eager to learn basic, translational, and clinical research as well as new imaging technologies. Legacy Devers Eye Institute - Discoveries in Sight: Discoveries in Sight is a private, nonprofit research institute - one of only a handful in the United States that is focused on the visual system. Visiting clinicians, scientists, medical students, and postdoctoral fellows come from around the world (including England, France, Belgium, Brazil, Korea, Singapore, Japan, Switzerland, Italy, China, Germany, Nepal and South Africa) in order to draw on our research expertise. Our goal is to expedite the development of new technologies and treatments to prevent, detect and treat blinding eye disease through programs that include: Basic Research: Combining novel research programs in ocular anatomy, physiology, and pharmacology to discover their roles in ocular and central visual system disease. Clinical Research: Initiating and conducting clinical trials to test new diagnostic instruments and therapies. Clinical Epidemiology: Prevalence of eye disease in populations Technology Development: Working with industry to accelerate the development of new technologies and pharmaceuticals. All interested and qualified candidates are encouraged apply. Responsibilities: A Post-Doctoral Research Fellow is an MD or Ph.D. in a scientific discipline. Post-Doctoral Research Fellows may provide clinical and/or scientific services, according to their level of responsibility, under the supervision of the Principal Investigator with the common goal of accelerating the development of new technologies and treatments in assigned area. Qualifications: Education: MD or Ph.D. in a scientific discipline. At a minimum the individual must have documentation they have completed all of the course work, research, and thesis preparation and acceptance necessary to receive their degree. This recognizes that granting institutions (universities) only present degrees on a periodic schedule. Skills: Excellent communication, organizational and time management skills. Ability to work independently. Pay Range: USD $32.56 - USD $44.75 /Hr. Our Commitment to Health and Equal Opportunity: Our Legacy is good for health for Our People, Our Patients, Our Communities, Our World. Above all, we will do the right thing. If you are passionate about our mission and believe you can contribute to our team, we encourage you to apply-even if you don't meet every qualification listed. We are committed to fostering an inclusive environment where everyone can grow and succeed. Legacy Health is an equal opportunity employer and prohibits unlawful discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion or creed, citizenship status, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability status, genetic information, veteran status, or any other characteristic protected by law. To learn more about our employee benefits click here: ********************************************************************

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

Veteran-Owned Firm Seeking DSP Communications Research Scientist with TS/SSBI/SCI for a Role in Monterey, CA My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies. At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies. We seek to fill a DSP Communications Research Scientist role in Monterey, CA. The ideal candidate should possess a TS/SSBI/SCI clearance, hold an M.S. in a relevant field (Ph.D. preferred), and have at least 2 years of professional experience, with 5 years being highly desirable. If you're interested, I'll gladly provide more details about the role and discuss your qualifications further. Thanks, Stephen M Hrutka Principal Consultant HRUCKUS LLC Executive Summary: HRUCKUS seeks a DSP Communications Research Scientist with TS/SSBI/SCI for a role in Monterey, CA. Position Description: We seek a highly qualified research engineer/scientist to solve challenging technical problems in signal processing that are critical to national security. Our client has a national reputation for delivering uniquely capable solutions to very challenging problems and a long track record of consistent innovation and success against the most difficult issues faced by their customers. These problems typically involve processing of signals in very stressful RF conditions, including low signal-to-noise ratio, high levels of interference, and non-stationary environments. Position Duties: Research, design, and implement advanced signal processing algorithms in software for various RF applications. Work as an individual principal investigator or part of a small team of engineers. Perform RF signal and data analysis, reverse engineering, simulation, and modeling. Implement new algorithms in C/C++ and Python. Support transition of algorithms to real-time, high-performance production computing environments. Communicate effectively, verbally and in writing, on complex technical subjects to customers, end-users, and partners at varying levels appropriate to each audience. Translate customer objectives to technical requirements, manage performance and schedule expectations, and communicate project status and technical performance evaluations. Required Expertise and Experience: An outstanding background in signal processing, digital communications, detection and estimation theory, remote sensing, radar signal processing, adaptive antenna array processing, or navigation/geolocation. Demonstrated programming skills and experience in scientific programming are required. The ideal candidate has experience implementing signal processing algorithms in C/C++ and Python. The successful applicant will have extensive expertise and experience in one or more of the following fields: Signal processing Digital communications Detection and estimation theory Remote sensing Radar signal processing Adaptive antenna array processing Navigation/geolocation Desired Qualifications: Some experience with Linux and open-source tool chains is desirable. Experience with software-defined radio (SDR), baseband architecture, RF architecture, and/or wireless propagation and modeling is desirable. Experience with modern communications protocols, including LTE, WCDMA, GSM, 802.11, or 802.16, is desirable. Knowledge of numerical linear algebra is a plus. Good customer communication and presentation skills (written and verbal) are essential. Required Education and Experience: An M.S. in a related field is required, and a Ph.D. is desirable. U.S. Citizenship is required with an in-scope Top Secret/SSBI. A minimum of two years of work experience is required; five or more years is desirable. Details: Job Title: DSP Communications Research Scientist. Locations: Monterey, CA. FULL RELOCATION PAID. Security Clearance Requirement: TS/SSBI/SCI. Assignment Type: Full-time. Salary Range: $126,000 to $174,000 per year.

Senior LLM Research Scientist We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Senior LLM Research Scientist We're representing a cutting-edge AI organization building autonomous systems that can reason, plan, and interact with the physical world. This is a chance to join a small, elite research team pushing the frontier of LLM-driven autonomy. ⭐ The Opportunity You'll lead research that powers intelligent agents capable of long-horizon reasoning, structured tool-use, and real-world decision-making. This is deep ML research with immediate, tangible impact. What You'll Work On Building LLM reasoning and planning frameworks Designing structured tool-use, memory, reflection, and multi-step workflows Developing safe, robust policies for autonomous systems Training and evaluating models across real engineering and scientific tasks Collaborating with systems, simulation, and infrastructure experts What We're Looking For Strong research background in LLMs, reasoning, or agents Experience with SFT, RLHF/DPO, verifier-guided RL, or related training techniques Ability to design and evaluate long-horizon behaviors Comfort working in a fast, interdisciplinary R&D environment Why Join Build models that control real physical-world systems, NOT just simulations Massive scope for autonomy, creativity, and impact Competitive compensation + meaningful ownership

Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system. Who We Are Looking For: Every day, Cambia's Applied AI Team is living our mission to make health care easier and lives better. AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions. This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. AI Scientists work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in generative AI, machine learning, deep learning and analytics this role requires knowledge of data systems, basic software development best practices, and algorithm design. AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. If you're a motivated and experienced AI Scientist looking to make a difference in the healthcare industry, apply for this exciting opportunity today! What You Bring to Cambia: Qualifications and Certifications: * Bachelor's degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics * 0-3 years of related work experience * Equivalent combination of education and experience Skills and Attributes (Not limited to): For all levels: * Demonstrated knowledge of generative AI, machine learning and data science. * Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models. * Effective in time and task management. * Able to develop productive working relationships with colleagues and business partners. * Strong interest in the healthcare industry. Core Knowledge: * Generative AI:Understanding of foundation models, transformer architectures, and techniques for working with large language models (LLMs). Experience with prompt engineering, fine-tuning approaches, and evaluation methods for generative models. * Machine Learning:Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc. (see below). Demonstrated understanding of how to structure simple machine learning pipelines (e.g, has prepared datasets, trained and tested models end-to-end). * Data:Strong foundation in data analysis. * Programming:Strong python programming skills. Familiarity with standard data science packages. Familiarity with standard software development best practices. Strong SQL skills a plus. * Algorithms:Understanding of standard algorithms and data structures (ex. search and sort) and their analysis. * Core Knowledge Details and Examples (meant to be representative, not exhaustive; entry level roles are expected to have hands-on experience training and testing AI models, solid mathematical understanding and computer science fundamentals) Generative AI * Large Language Models (LLMs) and their capabilities (e.g, in-context learning, few-shot learning, zero-shot learning) * Prompt engineering techniques and best practices * Fine-tuning approaches (e.g, full fine-tuning, parameter-efficient methods like LoRA, QLoRA) * Retrieval-Augmented Generation (RAG) and knowledge integration * Evaluation methods for generative models (e.g, perplexity, BLEU, ROUGE, human evaluation) * Alignment techniques (e.g, RLHF, constitutional AI, red-teaming) * Multimodal generative models (text-to-image, text-to-video, multimodal understanding) * Responsible AI considerations specific to generative models (e.g, bias, hallucinations, safety) * Familiarity with Gen AI frameworks and tools (e.g, Hugging Face and LangChain) Machine Learning * Classic ML algorithms (e.g, linear and logistic regression, decision and boosted trees, SVM, collaborative filtering, ranking) * Approaches (e.g, supervised, semi-supervised, unsupervised, reinforcement learning, regression, classification, time series modeling, transfer learning) * Foundational ML concepts such as objective functions, regularization and over fitting * Data partitions (train/dev/test) and model development * Hyperparameter tuning and grid search * Evaluation concepts (metrics, feature importance, etc.) * Familiarity with standard python packages (scikit-learn, XGBoost, TensorFlow, PyTorch, etc.) * Familiarity with structure of machine learning pipelines * Deep Learning (basic understanding expected at all levels) * Activation functions * Optimization/Gradient Decent * Common architectures (CNN, RNN, LSTM, GAN, etc.) * Embeddings * Familiarity with specializations (sequence modeling/NLP/computer vision) Math * Linear Algebra * Discrete math * Probability and Statistics * Calculus Data * Research and experiment design * Visualization with data * Answering questions with data What You Will Do at Cambia (Not limited to): Note that these responsibilities are representative but not exhaustive. Higher-level roles involve successively stronger degrees of initiative taking and innovation beyond the core responsibilities listed here. * Researches, designs, develops, and implements data-driven models and algorithms using generative AI, machine learning, deep learning, statistical, and other statistical modeling techniques. * Trains and tests models, and develops algorithms to solve business problems. * Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models. * Develops models and performs experiments and analyses that are replicable by others. * Uses open-source packages and managed services when appropriate to facilitate model development * Identifies, measures, analyzes, and visualizes drivers to explain model performance (e.g, feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production). * Uses appropriate metrics and quantified outcomes to drive AI model and algorithm improvements. The expected hiring range for The AI Scientist I is $135k-$145k, depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 15%. The current full salary range for this position is $104k Low/ $169k MRP About Cambia Working at Cambia means being part of a purpose-driven, award-winning culture built on trust and innovation anchored in our 100+ year history. Our caring and supportive colleagues are some of the best and brightest in the industry, innovating together toward sustainable, person-focused health care. Whether we're helping members, lending a hand to a colleague or volunteering in our communities, our compassion, empathy and team spirit always shine through. Why Join the Cambia Team? At Cambia, you can: * Work alongside diverse teams building cutting-edge solutions to transform health care. * Earn a competitive salary and enjoy generous benefits while doing work that changes lives. * Grow your career with a company committed to helping you succeed. * Give back to your community by participating in Cambia-supported outreach programs. * Connect with colleagues who share similar interests and backgrounds through our employee resource groups. We believe a career at Cambia is more than just a paycheck - and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match, bonus opportunities and more. In exchange for helping members live healthy lives, we offer benefits that empower you to do the same. Just a few highlights include: * Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits. * Annual employer contribution to a health savings account. * Generous paid time off varying by role and tenure in addition to 10 company-paid holidays. * Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period). * Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave). * Award-winning wellness programs that reward you for participation. * Employee Assistance Fund for those in need. * Commute and parking benefits. Learn more about our benefits. We are happy to offer work from home options for most of our roles. To take advantage of this flexible option, we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb. We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required. If you need accommodation for any part of the application process because of a medical condition or disability, please email ******************************. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy.

At AKS, we are growing and building for the future. We bring together multidisciplined experts across the land development, energy, and infrastructure markets to take on bigger challenges and deliver solutions that make a real difference. Our teams combine creativity, technical excellence, and a collaborative, hands-on approach to solve complex problems and deliver results our clients and communities can count on. We take pride in our work and our ability to provide opportunities for our teams, support each other's growth, and look ahead to what's next. When you join AKS, you will find opportunities to take ownership of meaningful projects, learn, lead, and make an impact from day one. We're looking for a Wetland Scientist to join our growing Natural Resources team and support a wide range of public and private projects across Oregon and Northern California. You'll work closely with AKS project managers and environmental scientists, gathering field data, preparing reports, and helping clients navigate the regulatory process. What You'll Do Conduct wetland delineations, ordinary high-water mark determinations, and riparian habitat assessments Prepare high-quality Wetland Delineation Reports that meet Oregon DSL and/or USACE standards Collaborate with teammates and agency staff to support permitting and compliance Use Trimble GPS units and background mapping tools to collect and organize field data Travel to field sites across Oregon and Northern California (overnight trips as needed) Contribute to the environmental and permitting components of infrastructure, land use, and development projects Who You Are Bachelor's degree in environmental science, biology, ecology, or a related field Minimum 3+ years of experience conducting wetland delineations using the Western Mountains, Valley, and Coast or Arid West Corps of Engineers Regional Supplements Proven ability to identify Pacific Northwest plant species Strong technical writing and communication skills Comfortable working independently or as part of a team in outdoor field settings Organized, dependable, and able to manage deadlines across multiple projects Nice to Have Familiarity with GIS Experience preparing DSL wetland removal-fill permits Understanding of USACE Section 404 permitting Field experience using Trimble GPS equipment Previous work in a consulting or multidisciplinary project environment Why AKS? At AKS, we believe your work should support your life-not the other way around. Here's what you can count on when you join our team: Meaningful Growth: Whether you're just starting out or looking to advance, we offer hands-on training, mentorship, and clear paths for professional development so you can grow with purpose. Real Collaboration: Join a team that brings diverse perspectives together to solve complex challenges with creativity, curiosity, and a shared commitment to quality. Respect for Your Time: We value work-life balance and offer generous PTO and a supportive environment that helps you manage both personal and professional responsibilities. Benefits That Care: You'll have access to health coverage that supports your total well-being-plus a 401(k) match, paid holidays, and more resources to help you thrive. Weekly Team Lunches: Take a break and recharge with your teammates-we believe food brings people together. Culture That Connects: We invest in experiences that build strong teams and strong communities. A Place People Love to Work: We've been named one of the Top Workplaces in Oregon and Washington year after year-for good reason. Join us and be part of a team that values your contributions and invests in your future.

Join Dr. Debiao Li and their research group as a Postdoctoral Scientist! The Li Laboratory specializes in the development of novel MRI techniques to address the research and clinical needs of cardiovascular imaging. Our group has developed and optimized various MRI methods for fast imaging of the heart and blood vessels, including coronary artery MR angiography, atherosclerosis imaging, myocardial perfusion and myocardial blood oxygenation evaluation. Our goal is early detection and characterization of heart disease using MRI. We have numerous collaborations with research leaders all over the world, particularly in China, and welcome visiting scientists and students from partner laboratories. Li has mentored more than 50 trainees, including doctorate students, postdocs and research fellows who have moved on to successful careers in academia, industry and the clinic. The Li Lab is a key partner of Siemens Healthineers, and scientists from Siemens are working with us on-site to develop and apply novel MRI techniques. To learn more, please visit Li Lab | Cedars-Sinai. Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientists, the Postdoctoral Scientist will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement new research techniques and protocols. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds. Primary Job Duties and Responsibilities: May assist in the preparation of grant proposals, but is not responsible for generating grant funds. May participate in publications and presentations as author or co-author. Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols. Analyzes, interprets, summarizes, and compiles data. Operates and maintains equipment and instruments. May observe MD-patient or MD-human research subject interactions as it pertains directly to research being performed. Qualifications Education: Doctorate (MD, PhD, VMD, or DDS) in an area directly related to the field of research specialization. Experience and Skills: Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Understanding of general research objectives. Works independently on research projects designed by a mentor (typically the PI) within the area of specialization. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment. About UsCedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the TeamCedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 12017 Working Title : Postdoctoral Scientist - Li Lab - Biomedical Imaging Research Institute Department : BMS - BioMed Imaging Res Inst. Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Postdoctoral Scholar Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $62,400 - $93,600

Join the Frontier of AI-Driven Hardware Design Are you passionate about pushing the boundaries of artificial intelligence and eager to see your research power the next generation of computational hardware? We're a stealth-mode AI research and product lab on a mission to revolutionize chip design. Our team is reimagining how custom silicon is created-using advanced AI to dramatically accelerate and optimize the process, making ultra-efficient, domain-specific chips a reality. About Us Founded by leading minds from top universities and industry labs, our team brings together AI researchers and engineers from organizations like DeepMind, Meta, Apple, and Intel. We're backed by world-class investors, including renowned scientists, professors, and founders in the hardware and AI space. Here, you'll work alongside pioneers at the intersection of machine learning and hardware, building the intelligence layer for tomorrow's computing revolution. Your Role: Founding AI Researcher (ML) As a founding member of our technical team, you'll be at the heart of developing and deploying AI models that transform chip design. You'll tackle challenges like code generation, verification, architectural exploration, and multimodal reasoning-building multi-agent systems that can design, optimize, and verify real silicon. This is a hands-on, 0→1 opportunity: you'll own the full ML lifecycle, from data pipelines and model training to deployment and iteration, collaborating closely with hardware and product experts.You'll experiment at the bleeding edge of LLMs, reinforcement learning, and graph-based methods for EDA, defining how AI will shape the future of hardware What We're Looking For Academic Background: PhD in Computer Science, EECS, Mathematics, or a related field (or BS/MS with strong research engineering experience at leading labs or startups). AI/ML Expertise: Deep experience building end-to-end ML pipelines, including data curation, model training, and post-training using RL. Proven ability to take models from research to real-world deployment. Technical Skills: Hands-on with LLM/VLM deployment (vLLM, sg Lang, LM Studio, Ollama, etc.) and distributed training (QLoRA, ZeRO, CUDA, PyTorch Parallelism). Experience with RL post-training workflows, reward modeling, and environment design. Track record in code generation, reasoning, and tool use-especially in structured domains. Builder Mindset: Fast-moving, able to prototype, benchmark, and productionize ML pipelines with tight feedback loops. Passion: Excited to push the state-of-the-art in AI for real-world engineering challenges. Bonus Points: Experience at leading AI labs (OpenAI, DeepMind, Anthropic, etc.). Publications in top ML or EDA conferences. Background in hardware design or verification (not required). Why Join Us? Impact: Shape the future of AI-driven chip design from the ground up. Ownership: Significant autonomy and a meaningful equity stake. Growth: Work with a world-class team on cutting-edge challenges. Culture: Fast-paced, collaborative, and mission-driven environment. Ready to help define how AI will design the hardware of tomorrow? Apply now and join us at the frontier of AI and hardware innovation!

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it's just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report. When you join Cedars-Sinai, you become part of a team that is at the forefront of medical advancements. Working alongside physician-scientists and researchers, you will be a part of life-saving medical and scientific breakthroughs. Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with the Principal Investigator and other Research Scientist, the Research Fellow will perform routine and complex laboratory procedures throughout training period. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds. Primary Duties and Responsibilities May assist in preparation of grant proposals, but is not responsible for generating grant funds. May participate in publications and presentations as author or co-author. Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols. Analyzes, interprets, summarizes and compiles data. Performs routine and complex laboratory procedures throughout the training period. Operates and maintains equipment and instruments. Qualifications Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience and Skills: Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Works independently on research projects designed by a mentor (typically the PI) within the area of specialization. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, operation and maintenance of specialized equipment. Excellent written and oral communication skills are essential. Knowledge of safety standards. Req ID : 13845 Working Title : Postdoctoral Scientist -Urology Department : Urology Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Postdoctoral Scholar Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $62,400 - $93,600

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences

⚡ Research Scientist - Data focus 💊 Foundation Models, AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $200,000 - $350,000 salary + bonus Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI. As part of the team, you'll work at the intersection of data, large-scale training, and foundation model innovation. You will collaborate with world-class researchers, data scientists, and engineers to solve critical challenges in creating robust, scalable, and reasoning-capable LLMs. Your research will shape the way data is curated, processed, and leveraged to train the next generation of intelligent systems. Responsibilities: Lead research on data-centric approaches for LLMs, including pretraining corpus design, data valuation, and speculative decoding strategies. Develop pipelines to process challenging data sources into structured and reproducible training datasets. Build and optimize agentic data pipelines, integrating retrieval, self-curation, and multi-agent feedback for high-quality training and evaluation data. Collaborate with researchers on alignment and reasoning-focused training that leverage data-driven approaches for improving LLM capabilities. Prototype and deploy evaluation frameworks to measure data quality, coverage, and downstream impact on LLM reasoning. Publish findings at top-tier venues (e.g., NeurIPS, ICLR, ACL, EMNLP) and represent the institute at international conferences. Contribute to open-source tools, datasets, and benchmarks that advance the global foundation model research community. Requirements: Master's degree in Computer Science, Data Science, or a related technical field (PhD strongly preferred) Experience collecting and curating high-quality text data including multi-lingual data. Hands-on experience with large-scale dataset curation and preprocessing for ML/LLM training. Prior works synthesizing complex datasets. Code, math, and agentic data are higher priority Experience with ML infrastructure for scalable training, evaluation, and debugging. Experience at the intersection of data and post-training (RL/SFT) Proven ability to independently drive research questions related to data quality, scaling, or reasoning. Preferred Experience: Experience with retrieval-augmented generation (RAG), agentic data pipelines, or reasoning benchmarks. Contributions to speculative decoding, self-curation, or reinforcement learning from synthetic data. Background in knowledge graphs, semantic search, or indexing systems. Strong publication record in leading AI conferences. Prior contributions to open-source ML data tools or benchmarks. Prior work on speculative decoding/contributions to LLM serving engines Prior work on training LLM-as-a-judge Deep expertise with tokenization/training tokenizers Why apply: Opportunity to build out a new division at the forefront of AI innovation FAANG competitive salary & package Work alongside superstars from FAANG labs & leading AI companies Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

The Cedars-Sinai Center for the Arts and Humanities in Medicine is looking for a Postdoctoral Scientist to join the team! When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it's just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report. The Cedars-Sinai Center for the Arts and Humanities in Medicine principal goal is to provide creative outlets in the arts and humanities for Cedars-Sinai faculty, staff, and extended community, which extend beyond the traditional clinical and research interests of the institution. to learn more, please visit Center for the Arts and Humanities in Medicine | Cedars-Sinai. Under the center, the Program on Internet, Health, and Society explores the myriad ways in which internet-related technologies have reconfigured our social lives and overall well-being. The position is aimed at studying the intersection of new technologies and psychology. Topics of interest include smartphone “addiction,” video game violence, cyberbullying, the psychological effects of privacy violations and facial recognition, video-mediated psychotherapy, and digital therapeutics within mental health. The candidate will already have a track record of productivity in the field and a well-formed project idea to pursue. This position is for one-year aimed at studying the intersection of new technologies and psychology. The position is potentially renewable for one additional year based on scholarly productivity and funds availability. Are you ready to be a part of breakthrough research? The Postdoc will work independently, but in close cooperation with Dr. Aboujaoude and other research personnel, to perform routine and complex research and scholarly work throughout their appointment. The Fellow can expect to develop, adapt, and implement new research protocols; analyze and interpret data; assist in the preparation of grant proposals; and participate in publications and presentations as author or co-author. The Fellow is not responsible for generating grant funds. Primary Job Duties and Responsibilities: Designs and performs experiments. Will securely keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols. Analyzes, interprets, summarizes, compiles, and writes up data. Performs routine and complex research and scholarly work throughout the appointment period. Utilizes and maintains standard databases of research data. QualificationsEducation: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization, required. Experience and Skills: Highly motivated and works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrates aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, and the operation and maintenance of specialized equipment. Knowledge of safety standards and must have the technical ability to operate mechanical/medical devices and/or equipment. About UsCedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the TeamCedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 12181 Working Title : Postdoctoral Scientist - Program on Internet, Health, and Society Department : Research - BMS Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Postdoctoral Scholar Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $62,400 - $93,600

Join a Leading Applied Research Lab Pushing the Boundaries of Reinforcement Learning Are you passionate about advancing the frontiers of reinforcement learning (RL)? An innovative AI research lab is seeking talented and ambitious scientists to shape the next generation of RL techniques-especially where they intersect with large models and environment generation. About the Role As an AI Research Scientist focused on RL, you will: Develop novel optimization-based methods for automated RL environment generation Establish baselines for evaluating the quality and diversity of RL environments Design infrastructure to create dynamic environments from historical datasets and agent evaluations Drive your own research agenda, contributing directly to the progress of our platform and the broader AI community What We're Looking For PhD (or equivalent experience) in machine learning, computer science or a related field Strong publication record and/or evidence of research impact (open source, deployed systems, etc.) Deep expertise in reinforcement learning and machine learning fundamentals Proficient in Python and at least one modern ML framework (such as PyTorch or JAX) Bonus Points Experience with post-training large language models (LLMs) Demonstrated software engineering skills Ability to communicate research findings effectively to both technical and non-technical audiences