Research fellow jobs in Madera, CA

The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- PhD in computer science, computer engineering, or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience programming in Java, C++, Python or related language - Experience using Unix/Linux PREFERRED QUALIFICATIONS- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience with popular deep learning frameworks such as MxNet and Tensor Flow Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

⚡ 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

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.

Role: Founding Applied Researcher Commitment: Full-Time, In Person Salary: up to $300k + 2% equity Must have previous AI/Multimodal/Generative systems experience About the Role Our client are building a fast-growing marketplace connecting elite creative talent award-winning artists, filmmakers, designers, and musicians with leading AI labs developing next-generation generative media models (e.g., state-of-the-art video, audio, and multimodal systems). A small, high-talent-density team with backgrounds from top universities and research-driven organizations, backed by founders and senior researchers from frontier AI labs and industry-leading research groups. They value initiative over instruction, autonomy over consensus, and reward exceptional talent with exceptional upside both in compensation and impact. Role Overview As a Founding Applied Researcher, you will design and build the next generation of generative media benchmarks evaluations that meaningfully push the boundaries of what foundation models can understand, generate, and perform. You will collaborate directly with researchers at frontier labs and fast-moving startups, helping define evaluation standards for multimodal and generative systems. This is a rare opportunity to own critical research efforts from day one, work on deeply novel challenges, and shape the direction of the field. What You'll Do Design, develop, and validate new benchmarks that test advanced real-world capabilities in generative media models Create novel evaluation methodologies, including dataset construction, task formulation, and scoring frameworks Collaborate closely with researchers at leading AI labs to identify gaps in existing evaluation pipelines and define new standards Prototype and iterate rapidly, balancing scientific rigor with practical constraints Influence research direction and help define best practices for a growing applied research organization What We're Looking For Academic & Research Background Master's degree or PhD in Machine Learning, NLP, Computer Science, or a related field Exceptional undergraduates with strong research track records are also encouraged to apply Demonstrated research excellence through publications at venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, or similar Technical Skills Strong proficiency in Python for research, prototyping, and experimentation Experience with evaluation, benchmarking, or model analysis Familiarity with multimodal systems, generative models, or foundation model behavior is a plus Mindset & Attributes Strong initiative and comfort operating autonomously Eagerness to tackle open-ended problems with no established playbook Ability to collaborate with industry researchers and clearly communicate findings Compensation & Ownership Competitive equity package with true founding-level ownership Opportunity to define foundational research culture and influence product direction from inception

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

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

About the team The team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Strategic Leadership: Research and formulate the development of AI technology and business strategies, covering areas such as autonomous driving, embodied intelligence, physical AI, generative AI, etc. Drive cross-functional collaboration to identify emerging opportunities and define roadmaps for AI adoption and innovation. Technology Trend Analysis: Monitor global AI advancements, competitive landscapes, and regulatory changes (e.g., AI ethics, compliance frameworks) to inform strategic decision-making. Evaluate cutting-edge technologies (e.g., LLMs, reinforcement learning, multimodal AI) and assess their potential business impact. Ecosystem Development: Build partnerships with academia, industry consortia, and startups to foster co-innovation and leverage external expertise. Establish and maintain collaborative relationships with research institutions, industry associations, and other key stakeholders, and represent the company at conferences, technical committees, etc. Insight Delivery: Produce strategic and technical insight reports and presentations for executive leadership to inform global perspectives for business planning, and translate insights into strategic recommendations. Requirements Education/Experience Master's degree or higher in Artificial Intelligence, Robotics, Computer Science, Data Science, Electrical Engineering, or a related field. 3+ years of professional experience in autonomous driving and/or AI industries, with in-depth knowledge of technology trends, application scenarios, and technical foresight. Proven experience in technology foresight, strategy consulting, or academic research related to areas is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Familiar with AI ethics, standards, and governance frameworks. Awareness of global industry and academic trends in intelligent mobility, robotics, etc. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities to balance technical feasibility, market demands, and ROI. Exceptional communication skills to articulate complex AI concepts to non-technical stakeholders. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Bonus: Experience in AI-related product/technology R&D (e.g., AD/ADAS). Bonus: Proficiency in Chinese communication and writing for global collaboration. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

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Internship Description Central California Legal Services (CCLS) is a 501(c)(3) non-profit organization that was founded in 1966 for the purpose of providing free civil legal services to low-income individuals. CCLS core counties include Fresno, Kings, Mariposa, Merced, Tulare, and Tuolumne. CCLS's health work also extends to San Luis Obispo, Monterey, San Benito, and Stanislaus counties. In Madera County, CCLS provides limited services to seniors and on health issues. CCLS has offices in Fresno, Merced, and Visalia, and satellite offices in Mendota and Los Banos. With nearly one hundred (100) employees, CCLS's work includes direct services that meet our clients' immediate needs, education, and advocacy. CCLS will select three (3) law students to join our team and be a part of our mission to advance justice and empower people. During the 10-week program, Fellows will be assigned to one or more of the following legal teams: Housing Law Team (Eviction defense) Consumer/Senior/Public Benefits Law Team Health Consumer Center Family/Immigration Law Team The 2026 Summer Fellowship will be conducted in-person at the CCLS main office in Fresno, California. Fellows will be expected to work alongside CCLS staff Monday through Friday from 8:30 am to 5:00 pm, gaining hands-on experience in a fast-paced, legal aid firm. This is a paid Fellowship with an anticipated total award of $8,000 (gross) per Fellow, to be distributed semi-monthly. Requirements All applications must include: Cover Letter Resume Three personal or professional references Responses to the following Supplemental Questions: Why are people poor? (Limit 500 words) How has your life and law school experience shaped your interest in poverty law? (Limit 500 words) What has been your greatest accomplishment? (Limit 500 words) Supplemental question responses may be emailed to General Counsel, Jonathan Ota, at ************************.

The University of Southern California, one of the nation's top universities, invites applications for a full- time, post-doctoral research associate in the Ming Hsieh Department of Electrical and Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics, reinforcement learning, and/or wireless communications. The candidate should hold a doctoral degree in electrical or computer engineering or related fields. The successful candidate will have a strong publication record in key journals. Applications should include a cover letter and curriculum vitae, a one-page research statement and the names of three references. Applications will be considered starting immediately until the positions are filled. The annual base salary range for this position is $62,400- $67,080. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.” This is a grant funded position that is to be hired for a set fixed-term. Required Documents: Resume/CV, cover letter, research statement (1-page), names of three references. . USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. Notice of Non-discrimination Employment Equity Read USC's Clery Act Annual Security Report USC is a smoke-free environment Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: *************************************************************

Job Type: Full-time Work Category: Onsite Sponsorship: Not Available Compensation: $23.50- $26.00 Duration: June- August 2026 *Important Information* Applications will not be reviewed until the application close date. Gallo Privacy Policy We are GALLO We're a family-owned company with a 90+ year legacy, that's consistently recognized as a Glassdoor “Best Places to Work.” We have 130+ brands in our total alcohol beverage portfolio including wine, malt, spirits, and ready-to-drink beverages. We're home to the #1 wine and spirits brands in the U.S. - Barefoot Wine & High Noon and are the official sponsors of the NFL, NHL, UFC, and PGA of America. View our Corporate Values and Mission Statement here. A Taste of What You'll Do The Research / Process Technology Internship is a unique program in partnership with universities. The program offers 2-to-6-month placement opportunities based out of E. & J. Gallo's subsidiary, California Natural Colors located in Fresno, California. This internship provides the opportunity for Master's and PhD students to apply their advanced knowledge in natural product chemistry within Cal Color's Research and Development department. This is an excellent opportunity to gain hands-on experience in an industrial research environment and increase your skills for future employment. Specific training and project work undertaken by interns may include the following, depending on available placement(s): Produce and evaluate the chemical characteristics of grape seed extracts and natural colors. Produce and test the physical properties of emulsions. Implement rapid chemical methods to measure and monitor bench, pilot, and production scale processes. Conduct organic synthesis of target molecules. Use HPLC to analyze various natural products. Use other separation techniques (e.g., adsorption elution, membrane filtration, etc.) Use computer software to statistically analyze data. Assist in the set-up of laboratory, pilot scale, or production experiments What You'll Need Currently enrolled at a university and working towards a Master's or PhD in Chemistry, Food Science, Physics or Engineering; OR obtained a Master's OR PhD in Chemistry, Food Science, Physics, Material Science or Engineering. Candidate is required to have a valid driver's license, a safe driving record and reliable vehicle (if applicable) at the time of hire. This position will undergo a motor vehicle check (MVR) to confirm a history of safe and responsible driving. If needed, candidate must obtain the appropriate state driver's license based on the position's location within 30 days of hire. Reliable transportation to and from work. Required to lift and move up to 40 lbs. when necessary. Required to work overtime, including evenings, weekends and holidays when necessary. Required to be 21 years of age or older. Required to be 18 years or older. This may be in addition to other age requirements, if applicable, as listed in this . How You'll Stand Out Hands-on experience with quantitative analytical chemistry using chromatographic techniques, especially HPLC, method development and validation. LCMS a plus. Hands-on experience with various extraction, separation, and purification techniques such as preparative HPLC, CC, ultrafiltration, crystallization, etc. Hands-on experience using particle size analyzers. Working knowledge of emulsion science. Hands-on experience with natural products especially polyphenols (e.g., flavonoids, proanthocyanidins and natural colors (e.g., anthocyanins, carotenoids, curcuminoids) Working knowledge of the chemistry and physics of color and light. Hands-on experience with organic synthesis. Strong analytical and problem-solving skills. Excellent written and oral communication skills. Excellent organizational skills and experience managing multiple assignments. Self-motivated with a passion for research. Willingness to work at heights of up to 50 feet, on tops of tanks inspecting wine surfaces when necessary. To view a full job description, please click here. Our Benefits & Perks We are committed to providing competitive compensation, perks, and a culture that supports your well-being. Benefits depend on your work category and may include medical and dental coverage, 401k plans, profit sharing, pet insurance, company holidays, access to an employee wine shop, and more! Additional information will be provided before your first interview. The Fine Print The Company does not sponsor for employment-based visas for this position now or in the future. Actual compensation paid within the range will be determined by factors such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data. In addition to the salary, this position may be eligible for bonuses, incentive plans, or participate in tasting room tip pools, as applicable. This position will be based in the location(s) specified in the job posting and requires working on-site with no telecommuting option. You will be expected to live within a commutable distance. It is the Company's policy for job postings to be open to internal candidates for a minimum of 5 days and to external candidates, if applicable, for a minimum of 3 days. Gallo's policy is to afford equal employment opportunities to all applicants and employees and not to discriminate on the basis of race, traits associated with race, including but not limited to, hair texture and protective hairstyles (such as braids, locks, and twists), color, national origin, ancestry, creed, religion, physical disability, mental disability, medical condition as defined by applicable state law (including cancer and predisposing genetic characteristics), genetic information, marital status, familial status, sex, gender, gender identity, gender expression, sexual orientation (actual or perceived), transgender status, sex stereotyping, pregnancy, childbirth or related medical conditions, reproductive health decision making, age, military or veteran status, domestic violence or sexual assault victim status, or any other basis protected by applicable law. Nor will Gallo discriminate based on a perception that an individual has any of the foregoing characteristics or is associated with a person who has, or is perceived to have, any of those characteristics. Gallo will comply with state and local laws prohibiting discrimination for lawful out-of-work behavior, such as off-duty use of cannabis away from the workplace (subject to federal and state law exceptions), the existence of non-psychoactive cannabis metabolites in hair, blood, urine, or other bodily fluids as determined by a drug screening test (subject to federal and state law exceptions). We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gallo is committed to providing reasonable accommodation for candidates with disabilities in our recruiting process. If you need any assistance or accommodation due to a disability, please let us know at ************. Gallo is enrolled in the Department of Homeland Security's E-Verify program and will use the program to verify the employment eligibility of all newly hired employees as required. E-Verify Notice Right to Work Employee Polygraph Protection Act

Job DescriptionSalary: for SPRING 2026. Our company has provided university internships for credit in the past. Student will need to provide management with all necessary enrollment forms for credit. Job responsibilities include, but are not limited to: Crop measurements and assessments Sample collection Sample shipment Trial applications, including calibration of equipment and application parameters Irrigating Fertilizing Operating various farm equipment Job requirements: Valid drivers license Proof of eligibility to work in the US (Social Security or a permanent resident card) Vehicle or reliable transportation to and from work Ability to lift 50 lbs Physically able to perform regular farm activities Clean driving record (i.e. no DUIs or serious speeding tickets) Preferred skills: Experience with a variety of crops Farm experience (comfortable with driving a tractor and operating various implements) 40 hours/week. $14+/hr (dependent on experience). Overtime and weekends are possible. This is a full-time summer position, but qualified candidates may be able to start sooner with good weekday availability during the semester. The job can continue into the fall, dependent on company needs and student availability. This is primarily an outdoor position. Applicant should be comfortable working outside in summer temperatures. The employer will provide water, Gatorade, and shade.

⚡ 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 ************************

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

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

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.