Research internship jobs in Indio, CA - 2,602 jobs

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems. The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr

A leading investment consulting firm in San Francisco seeks a hedge fund investment analyst to conduct research and monitor hedge fund performance. The candidate will collaborate with a team to provide insights into hedge fund strategies and assist in presentations to clients. An ideal candidate will possess a bachelor's degree in finance or a related field, along with two years of related experience. A commitment to strong communication and client relationships is essential. #J-18808-Ljbffr

Fund & Co-Investment Research Associate About Allocate Allocate is transforming private market investing by enabling wealth advisory firms to seamlessly build and manage high-quality private market programs. About the Role We're seeking a Fund & Co-Investment Research Associate to join our Private Investments team. This isn't a traditional allocator role, as you'll be a critical connector between world-class fund managers, wealth advisory CIOs, and help build and manage our technology platform. You'll evaluate venture capital and private equity opportunities, conduct manager diligence, and spend significant time with wealth advisor investment teams discussing curated deals. You need to deeply understand opportunities, answer sophisticated questions, and provide clear, accurate analysis that helps clients make confident investment decisions. Equally important, you'll own the completeness and accuracy of our platform content, ensuring all investment materials, copy, and compliance documentation stay current. Key Responsibilities Investment Research & Diligence: Conduct quantitative and qualitative research on private market managers and co-investment opportunities across venture capital, private equity, and adjacent asset classes. Prepare balanced investment analysis and recommendations. Client Engagement: Spend substantial time with wealth advisor CIOs and their investment teams discussing curated opportunities. Field detailed questions, articulate investment theses, and provide real-time analysis that demonstrates deep command of each deal. GP Relationship Development: Build and maintain relationships with fund managers, including structuring conversations, access discussions, and ongoing partnership development. Platform Completeness: Own platform content integrity-ensure investment materials are updated, copy is accurate and compliant, and all client-facing documentation metour quality standards. Sourcing & Pipeline Development: Proactively source differentiated fund and co-investment opportunities through targeted outreach, industry relationships, and market intelligence. Cross-Functional Collaboration: Partner with product, technology, and operations teams to refine platform capabilities and enhance the client investment experience. Portfolio Monitoring: Support post-investment updates, quarterly reporting, and ongoing portfolio analytics for client transparency. Market Intelligence: Develop insights and content that position Allocate as a leading voice in private markets. Qualifications Experience & Knowledge: 3+ years of experience in venture capital, private equity, wealth management, investment banking, or related fields. Deep industry knowledge of the VC/PE ecosystem, fund structures, and how institutional platforms operate. Strong understanding of private markets and alternative investments. Skills & Attributes: Hustler mentality: Proactive, resourceful, and self-directed-you don't wait to be told what to do. Exceptional communication: You can explain complex investment concepts clearly and handle sophisticated Q&A with institutional allocators. Highly personable: You build authentic relationships with both GPs and wealth advisory teams. Commercial mindset: You think about client needs, platform scalability, and growth. Startup DNA: You thrive in fast-paced environments, embrace ambiguity, and move quickly. Meticulous attention to detail: You ensure accuracy and compliance across all materials. Analytical excellence: You combine quantitative rigor with qualitative judgment. Not a Fit If You're: A pure allocator looking for a traditional fund-of-funds seat. More comfortable with analysis only role than relationship-building and client engagement. Seeking a slow-paced, process-heavy environment. Unfamiliar with how technology platforms operate. Why Allocate? Shape the infrastructure layer for an entire industry. Ability to immediately work with top VCs and PE firms, along with CIOs in the wealth advisory world. Allocate is one of the fastest-growing platforms in private markets. Palo Alto office in the heart of the venture ecosystem. High impact, high visibility work with real ownership and autonomy. Additional Information Location: Palo Alto, CA. Must be able to work in-office 4 days a week. Compensation: $160K-$200K base + bonus + stock equity. Benefits: Medical, dental, vision, 401(k), responsible time off. Employment: Full-time. Compliance: This role is subject to Allocate's Code of Ethics and all related compliance obligations. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Must have legal authorization to work in the U.S. now and in the future without visa sponsorship. #J-18808-Ljbffr

The Research Specialist is assigned to provide support for the officers, staff, and members on a citywide basis. The Research Specialist is responsible to the Strategic Research Director. DUTIES AND RESPONSIBILITIES A. Monitor and maintain a database of pertinent information relevant to bargaining, organizing and preservation of the tenets of UTLA. B. Collect and analyze public records in order to understand school district practices and policies, finances, and other relevant issues. C. Research current economic, social, and policy trends to inform or make appropriate strategic recommendations. D. Create research-based materials with high quality sourcing on individuals, organizations, issues, and institutions in order to support a variety of campaigns including new organizing, bargaining, representation, common good and other policy demands. E. Develop tools and materials to assist staff, leadership and members with power analysis and strategic planning. F. Prepare non-academic reports, data analyses, and presentations on a wide range of topics for internal and external audiences in collaboration with other departments including Organizing and Representation, Communications, Political and Community Organizing, and UTLA leadership as requested. G. Maintain research library. H. Perform other duties as assigned by the Strategic Research Director. PRIMARY KNOWLEDGE, SKILLS, AND ABILITIES A. Demonstrated quantitative and analytic skills as well as familiarity with public and private data sources. B. Competency with software applications including strong proficiency in Excel, PowerPoint, and other analytical tools, including the ability to create graphs, presentations, and reports. C. Comprehensive communication skills for oral, written, and visual presentations, including explaining complex information in accurate, concise, and useful terms. D. Knowledge of the labor movement and experience supporting union campaigns. E. Experience collecting and analyzing data related to budgets, compensation, economic and demographic surveys, reports and databases, employer staffing and financial reports, real estate, contracts, corporate structures and relationships, and labor agreements. F. Experience synthesizing research for practical planning purposes. G. Completion of an undergraduate degree. H. Ability to handle multiple assignments and meet deadlines. SECONDARY KNOWLEDGE, SKILLS, AND ABILITIES A. Experience conducting industry research is considered a plus, especially in the education sector. B. Familiarity with programs such as SQL, R, Python, BigQuery, Tableau. C. Prior work experience in a union environment is preferred. D. Familiarity with UTLA and/or its affiliates. DESCRIPTION OF THE ORGANIZATION UTLA is a democratic union that represents 38,000 bargaining unit members in such diverse groups as Counselors, Nurses, Psychologists, Social Workers, Librarians and Classroom Teachers. Wages, hours and working conditions of unit members are covered in the Collective Bargaining Agreement in effect between the Los Angeles Unified School District and UTLA or collective bargaining agreements between UTLA and independent charter school employers. Los Angeles Unified is a metropolitan school district of over 400,000 students, the second largest school district in the country. Within the District there are over 800 school locations and a school budget of over $8 billion. We are a local union affiliated with the California Teacher Association, California Federation of Teachers, National Education Association and American Federation of Teachers. SALARY AND FRINGE BENEFITS UTLA staff is represented by a staff union with a negotiated agreement and just cause. Beginning salary range for this position will be $119, 503 - $130,584 per year depending on prior skills and experience, with regular step increases. Fringe benefits include employer paid medical, dental, vision care for staff members and eligible dependents. There are excellent retirement plan options and a monthly automobile allowance for maintenance and operation of a car. Parking is provided. HOW TO APPLY Please email Cristina Alfonso, Confidential Executive Assistant, ***************** for an application and details of documents to be submitted with the application. Two letters of recommendation demonstrating experience and knowledge will be required when submitting application and other requested documents. All required documentation including completed application, letters of recommendation, resume and requested documents must be received by UTLA no later than February 16, 2026. United Teachers Los Angeles Attention: Cristina Alfonso, Confidential Executive Assistant 3303 Wilshire Blvd., 10 th Floor Los Angeles, CA 90010 UTLA IS AN EQUAL OPPORTUNITY EMPLOYER

A leading tech company invites applications for a Machine Learning Engineer to advance AI research in California. The role focuses on Generative AI and requires a PhD or Master's degree, with a minimum of 3 publications in AI. The candidate will collaborate across teams and publish findings, contributing to networking solutions and AI innovations. This full-time position offers a competitive salary and benefits, fostering an inclusive workplace culture. #J-18808-Ljbffr

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to make open-source AI truly accessible by bringing together researchers worldwide to advance model research, fine-tuning, and large-scale training. We are seeking a Research Engineer with a strong background in large language models (LLMs) and reasoning systems to help push the boundaries of AI innovation. What You'll Be Doing Designing and executing fine-tuning pipelines for open-weight LLMs across diverse use cases, from concept to deployment. Conducting research on novel reasoning architectures and training methods to improve model performance. Collaborating with researchers and engineers across institutions to accelerate progress in AI research. Contributing to open-source projects and advancing best practices in decentralized AI development. What We're Looking For Strong hands-on experience in LLM training, fine-tuning, and evaluation. Deep understanding of reinforcement learning (RL), particularly in the context of reasoning. Strong problem-solving skills and the ability to communicate technical ideas clearly to diverse collaborators. A passion for advancing open and decentralized AI ecosystems. We'd Love If You Have Experience with formal verification Experience with trusted execution environment (TEE) Contributions to open-source machine learning libraries Please let us know if you require any special requirements for your interview and we'll do our best to accommodate. Locations: San Francisco. Apply for this job #J-18808-Ljbffr

Employment Type Full time Department AI Note - Below contains the outcomes and competencies for the team. If you bring standout strengths in some areas but not all, you are still encouraged to apply. Mission Design, train, ship, iterate on, and innovate on the AI brains behind Pathos' AI Therapist. Combine research, data science, and engineering to create models, orchestration, and evaluation systems that make therapy conversations deeply effective, clinically grounded, and safe. Outcomes Improve quality of AI Therapy: Deliver measurable improvements in conversation quality, therapeutic alliance, and user outcomes through fine-tuning strategies, training data curation, building RL environments, new model architectures and other AI innovations. Improve evaluation of AI quality: Improve on and maintain a robust eval stack that includes scripted tests, LLM-as-judge evaluations, human ratings, and safety checks. Improve automated regression testing, detection of defects, and observability (eg dashboards). Own AI system. Build, maintain, and iterate on the production codebase that delivers AI therapy and supports the evaluation and iteration of our AI. Productionize Models and Pipelines. Own the path from notebook to production: training jobs, model packaging, deployment, monitoring, and rollback strategies. Keep latency, reliability, and cost within agreed budgets while enabling rapid iteration on new ideas. Improve Safety, Alignment, and Clinical Guardrails Work with clinicians and internal experts to encode clinical guidelines into prompts, reward functions, tools, and filters. Proactively identify and reduce harmful or low-quality behaviors through targeted experiments, red teaming, and mitigations. Own Research Roadmap and Experiment Velocity Run high-quality experiments from hypothesis to analysis to improve our understanding of what matters and what works. Shape and execute a focused R&D roadmap. Collaboration with Clinicians, Product, and Engineering. Translate product and clinical requirements into concrete model and system changes. Partner with full-stack product engineers so that new AI capabilities are easy to integrate and maintain in the product. Competencies LLM and Applied ML Depth. Demonstrates strong experience with large language models, including fine-tuning, training data design, and model selection. Knows how to move core metrics on conversation quality and user outcomes, rather than chasing generic benchmarks. Can look at evals, transcripts, and metrics and quickly form grounded hypotheses for improvement. Ships clean, maintainable, quality code. No only do you know how transformers work, but you are also an engineer that has experience shipping production-level code and/or maintaining an AI system in production. Data Engineering Skills. Can set up production-level data pipelines for training new models, evals, analysis, etc. Scientific Mindset. You formulate hypotheses, and you are good at evaluating them (eg through experiments, data analysis, etc). You are consistently learning at the cutting edge, and you're able to leverage and communicate those learnings to make the entire company more successful. Ruthless Prioritizer. You are keenly aware of how to provide company value and to prioritize projects accordingly. Resistant to nerd-sniping. Quality Obsessive: Refuses to ship subpar work, continuously improving the codebase. Fast: Prioritizes speed by leveraging AI, breaking down complex tasks, shipping early, optimizing for learnings, iterating quickly, and avoiding over-engineering. Strong communicator. You can work collaboratively in a positive way. Sees others perspectives. Strong opinions, loosely held. Focused on user/business value, not ego. Great to have Personal or other experience with therapy or coaching Domain knowledge of psychology, neuroscience, therapy, or coaching. #J-18808-Ljbffr

A forward-looking AI company based in San Francisco is seeking talented researchers and engineers to pioneer enhancements in self-improving artificial intelligence. This role requires proficiency in Python and deep learning frameworks, along with expertise in post-training techniques. The ideal candidate thrives in an agile environment. This position is in-person, five days a week, allowing for direct collaboration with a world-class team. #J-18808-Ljbffr

A pioneering engineering company in San Francisco is seeking talented research engineers to develop innovative parametric CAD tools. You will work on tasks such as generating CAD models from text and creating vector representations of 3D models. Ideal candidates possess strong backgrounds in algorithms and deep learning, and the ability to innovate. This role offers autonomy and the chance to be part of a passionate and creative team. #J-18808-Ljbffr

A tech company in San Francisco is seeking a Staff Research Engineer to develop AI-powered generative video systems. You'll work closely with research and engineering teams to create scalable solutions and improve operations. Ideal candidates have significant experience in generative AI systems and strong collaboration skills. The role supports flexible working arrangements and offers a competitive salary package, alongside a range of benefits to promote well-being and family care. #J-18808-Ljbffr

A pioneering AI firm in San Francisco is seeking an experienced professional to drive scalable RL research and build innovative data generation pipelines. The role offers significant autonomy and the opportunity to work on cutting-edge projects that are validated in production. Candidates should have a Master's or PhD in Computer Science, expertise in core tooling like PyTorch, and familiarity with modern post-training techniques. Join as an early team member to enjoy a significant equity upside. #J-18808-Ljbffr

Applied Compute builds Specific Intelligence for enterprises, unlocking the knowledge inside a company to train custom models and deploy an in-house agent workforce. Today's state-of-the-art AI isn't one-size-fits-all-it's a tailored system that continuously learns from a company's processes, data, expertise, and goals. The same way companies compete today by having the best human workforce, the companies building for the future will compete by having the best agent workforce supporting their human bosses. We call this Specific Intelligence and we're already building them today. We are a small, talent-dense team of engineers, researchers, and operators who have built some of the most influential AI systems in the world, including reinforcement learning infrastructure at OpenAI and data foundations at Scale AI, with additional experience from Together, Two Sigma, and Watershed. We're backed with $80M from Benchmark, Sequoia, Lux, Hanabi, Neo, Elad Gil, Victor Lazarte, Omri Casspi, and others. We work in-person in San Francisco. The Role As a founding Research Engineer, you'll train frontier-scale models and adapt them into specialized experts for enterprises. You will design and run experiments at scale, developing novel methods for agentic training. You'll work closely with researchers to experiment with and invent new algorithms, and you'll collaborate with infrastructure engineers to post train LLMs on thousands of GPUs. We believe that research velocity is tied with having world class tooling; you'll build tools and observability for yourself and others, enabling deeper investigation into how models specialize during training. If you get excited by challenging systems and ML problems at scale, this role is for you. What You'll Do Post-train frontier scale large language models on enterprise tasks and environments Explore cutting edge RL techniques, co-designing algorithms and systems Partner with infrastructure engineers to scale training and inference efficiently across thousands of GPUs Build high-performance internal tools for probing, debugging, and analyzing training runs What We're Looking For Experience training or serving LLMs Experience building RL environments and evals for language models Proficiency in PyTorch, JAX, or similar ML frameworks, and experience with distributed training Strong experimental design skills Strong Candidates May Also Have Background in pre- or post-training Previous experience in high-performance computing environments or working with large-scale clusters Contributions to open-source ML research or infrastructure Demonstrated technical creativity through published research, OSS contributions, or side projects Logistics Location: This role is based in San Francisco, California. Benefits: Applied Compute offers generous health benefits, unlimited PTO, paid parental leave, lunches and dinners at the office, and relocation support as needed. We work in-person at a beautiful office in San Francisco's Design District. Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr

A leading AI research company in San Francisco seeks a talented architecture team member to enhance its flagship models. Ideal candidates will have a strong understanding of LLM architectures and experience with deep learning. The role offers a hybrid work model of 3 days in the office, alongside relocation assistance. This position presents an exciting opportunity to contribute to groundbreaking AI advancements. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #J-18808-Ljbffr

Store - PALM SPRINGS, CADeliver friendly customer service, help customers shop our store, and find what they're looking for. Ensure all customers receive a fast and friendly checkout experience. Complete truck unloading and merchandise duties throughout the store including maintaining store recovery standards to deliver our Brand Promises. Help customers shop, locate products, and provide them with solutions Provide a fast and friendly checkout experience; execute cash handling to standards Engage customers on the benefits of the Rewards program and Private Label Credit Cards and complete enrollments Educate customers on the Voice of Customer (VOC) survey Assist with Omni channel processes, including Buy Online Pickup in Store (BOPIS) and Ship From Store (SFS) Participate in the truck unload, stocking, and planogram (POGs) processes Responsible to complete merchandise recovery and maintenance including the merchandise return / go back process and general store recovery to ensure a well-merchandised and in-stock store Perform Store In Stock Optimization (SISO) and AD set duties as assigned Support shrink and safety programs Adhere to Standard Operating Procedures (SOPs) and Company programs to ensure compliance with applicable laws and requirements; execute Company policies and standards Interact with others in an accepting and respectful manner; remain positive and respectful, even in difficult situations; promote commitment to the organization's vision and values; project a positive image and serve as a role model for other Team Members Cross trained in Custom Framing selling and production Other duties as assigned Preferred Knowledge/Skills/Abilities Preferred Type of experience the job requires Retail and/or customer service experience preferred Physical Requirements Work Environment Ability to remain standing for long periods of time Ability to move throughout the store Regular bending, lifting, carrying, reaching, and stretching Lifting heavy boxes and accessing high shelves by ladder or similar equipment If you need help performing these essential functions of your job, please contact your supervisor so that we may engage in the interactive process with you to determine if a reasonable accommodation is available. Public retail store setting taking care of our customers; all public areas are climate controlled; some stock rooms may not be climate controlled; some outdoor work if assigned to retrieve shopping carts or while unloading trucks; Frame shop contains glass cutter and heat press; work hours include nights, weekends and early mornings Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job. Michaels requires all team members in this role to be at least sixteen (16) years or older. Total Base Pay Range for this Position: $16.50 - $19.40 At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com and Michaels.ca. The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit ***************** At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit mikbenefits.com. Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together. Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at ************** (1800-MICHAEL). EEOC Know Your Rights Poster in English EEOC Know Your Rights Poster in Spanish EEOC Poster Optimized for Screen Readers Federal FMLA Poster Federal EPPAC Poster

Job DescriptionBenefits: Employee discounts Flexible schedule Opportunity for advancement Restaurant Team Member The Restaurant Team member performs assigned workstation duties to ensure quality products and service are delivered to our customers meeting Papa Johns standards. Comply with Papa Johns uniform, appearance, and operations standards as defined in the Operations Manual, PIZZAcademy, Team Member Handbook, and with federal, state, and local laws and ordinances. Responsibilities Perform assigned workstation duties including making quality products, preparing ingredients, taking orders, providing quality customer service through positive and professional interaction with customers by phone or in person, and acting with a sense of urgency in everything they do. Work as part of a team and assist each other by being on time for their shift, supporting other workstations during their shift and completing all closing duties, including cleaning, at the end of each shift. Enhance the companys image by complying with uniform and appearance standards. Contribute to an atmosphere of teamwork, energy and fun. Accurately use the FOCUS System, process cash, and/or credit card transactions. Support sales efforts by suggestively selling to increase the check average when taking an order. Protect the companys assets by maintaining organized, safe and clean work areas; comply with safety and security standards at all times. Key Ingredients High School diploma or GED preferred. Serv-Safe/Local or State Food Service Certification preferred Work Conditions Exposure to: Varying and sometimes adverse weather conditions when removing trash and performing other outside tasks. In-store temperatures range from 36 degrees in cooler to 90 degrees and above in some work areas. Sudden changes in temperature in work area and while outside. Fumes from food odors. Cramped quarters including walk-in cooler. Hot surfaces/tools from oven up to 500 degrees or higher. Sharp edges and moving mechanical parts. Physical Requirements including, but not limited to the following: Standing Most tasks are performed from a standing position. Walking For short distances for short durations. Surfaces include ceramic tile "bricks" with linoleum in some food process areas. Height of work surfaces is between 36" and 48". Sitting Paperwork is normally completed in an office at a desk or table. Lifting Bulk product deliveries are made twice a week or more and are unloaded by the team member using a hand truck. Deliveries may include cases of ingredients and supplies weighing up to 50 pounds with dimensions of up to 3' x 1.5'. Cases are usually lifted from floor and stacked onto shelves up to 72" high. Carrying Large cans, weighing 3 pounds, 7 ounces, are carried from the workstation to storage shelves. Occasionally, pizza sauce weighing 30 pounds is carried from the storage room to the front of the store. Trays of pizza dough are carried three at a time over short distances, and weigh approximately 12 pounds per tray. Pushing To move trays which are placed on dollies. A stack of trays on a dolly is approximately 24"- 30" and requires a force of up to 7.5 pounds to push. Trays may also be pulled. Climbing Team members must infrequently navigate stairs or climb a ladder to change prices on signs, wash walls, perform maintenance. Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72" occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Hand Tasks Eye-hand coordination is essential. Use of hands is continuous during the day. Frequently activities require use of one or both hands. Shaping pizza dough requires frequent and forceful use of forearms and wrists. Workers must manipulate a pizza peel when removing pizza from the oven, and when using the rolling cutter. Frequent and/or forceful pinching is required in the assembly of cardboard pizza boxes. Team Members must be able to grasp cans, the phone, the pizza cutter and pizza peel, and pizza boxes. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel.

This position leads, under Director and PI supervision, most aspects of field research activities at the Hopland Research and Extension Center (HREC). The primary focus of this position is on project management of up to 20 different research projects in diverse fields of study within agriculture and natural resources. This range includes plant science, soil science, animal science, wildlife ecology, oak woodland ecology, fire science, rangeland management, and hydrology. This position interacts with Primary Investigators (PIs) throughout the research process, from idea generation through project creation and refinement including design planning, plot construction, project implementation and management, data collection, analysis, and reporting. This position assists with duties related to livestock management of HREC's sheep flock, and all field maintenance activities required to keep a 5,358-acre research center functioning. In addition, this position will assist with or lead public outreach activities and extension event. This position is a career appointment that is 100% fixed. Pay Scale: $30.32/hour to $39.23/hour Job Posting Close Date: This job is open until filled. The first application review date will be 09/03/2025. The next application review date will be 09/26/2025. Key Responsibilities: 70% Serve as primary lead, under supervision of Superintendent, in conducting field research activities at HREC. Perform technical observations in multiple fields of scientific investigation. Install, operate, and maintain field and laboratory instruments. Performs Ag Technician duties, as related to research activities, when needed. Serve as lead for supervising and directing undergrads and field assistants in data collection and fieldwork related duties. Manage multiple research projects simultaneously, organizing timelines and schedules to ensure research activities are conducted on time with precision and accuracy. Interface with PIs to develop and refine projects, and through an iterative feedback process ensure that theoretical ideas are turned into workable experimental designs. Coordinate with, and occasionally serve as lead for, facilities staff to implement project designs into workable field installations. Meet with researchers, both on and off site, to ensure coordination of current activities, address concerns, find solutions, and map out future goals. Develop innovative solutions to problems that arise in enacting projects, and work with the Superintendent and PI to modify, vary, or adapt standard procedures to meet project needs. Collaborate with Director, PIs, and Community Education Specialist to write and submit grant applications. Participate in annual Research Advisory Committee process of Soliciting, reviewing, refining, and approving research projects. Responsible for application, supervision and reporting of herbicides, pesticides, and fungicides. Tractor and machinery duties as needed for project management and field work in vineyard and research plots, and around barns and pastures. 10% Works with administration, Community Education Specialist, and other staff, to plan and execute a broad range of extension activities, including researcher and professional field days, school trips, and intensive educational workshops with other collaborators. Develop original content or refine existing curriculum to present information for a range of audiences based on research results generated here at HREC. Demonstrate procedures used in research and field activities. 10% Maintenance duties as required for maintenance of the property including: fence repair, plumbing repair, brush clearing, road repair, facility cleaning and repair, mowing around barns and infrastructure. 10% Provide information to Center Director, Superintendent, Animal Techs, and Ag Techs regarding grazing/non-grazing and prescribed burning needs of research when annual grazing and burning plans are developed. On a backup basis, assist with animal care (livestock, guard dogs, wildlife) including: shepherding, herd and individual animal health assessment, vaccinations, lambing, breeding, field sampling, and predator management. Requirements: Broad knowledge of scientific research principles, procedures, and protocols. Specific knowledge in and experience with agricultural and natural resource related fields of scientific inquiry, including but not limited to plant science, animal science, wildlife ecology, rangeland management and ecology, hydrology, and soil science. Experience and skill with conducting specialized field sampling and data collection and analysis, including work with live animals, remote field plots, electronic sensing equipment, and laboratory equipment. Excellent communication skills, written and spoken, including the specific ability to effectively discuss complicated technical and scientific questions. Ability to tailor communication to the specific audience, including a range from PIs to grade-schoolers and laypeople. Proficiency in basic computer programs including: MS Office, mapping programs, web research, document sharing. Preferred Skills: Associate/Bachelor's Degree and/or equivalent experience Knowledge of pest control principles, pesticide application techniques and safety, and relevant regulations. Qualified Applicator Certificate required (can be earned within 6 months of hire). Proven skill and experience with a broad range of machinery including but not limited to agricultural tractors and implements, pruning tools (chainsaws, loppers), on and off-road vehicles, trailers, and some heavy equipment. Skills and knowledge of handling research animals to minimize stress including domestic livestock and wildlife. Experience with veterinary techniques. Special Conditions of Employment: Must possess valid California Driver's License to drive a County or University vehicle. Ability and means to travel on a flexible schedule as needed, proof of liability damage insurance on vehicle used is required. Reimbursement of job-related travel will be reimbursed according to University policies. Required to hold valid driver's license, have a driving record that is in accordance with local policies/procedures, and/or enroll in the California Employer Pull Notice Program. The University reserves the right to make employment contingent upon successful completion of the background check. This is a designated position requiring a background check and may require fingerprinting due to the nature of the job responsibilities. UC ANR does hire people with conviction histories and reviews information received in the context of the job responsibilities. As of January 1, 2014, ANR is a smoke- and tobacco-free environment in which smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes), is strictly prohibited. As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace To apply, please visit: https://careerspub.universityofcalifornia.edu/psc/ucanr/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=80236&PostingSeq=1&SiteId=17&language Cd=ENG&FOCUS=Applicant Copyright ©2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-07f6b7f92d14204aadbe473e26ba5273

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks-balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting‑edge privacy techniques accessible to engineering and research teams. Lead deep‑drive investigations into the privacy-performance trade‑offs of large models, publishing insights that inform model‑training and product‑safety decisions. Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle-from dataset curation to post‑deployment monitoring. Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: Have hands‑on research or production experience with PETs. Are fluent in modern deep‑learning stacks (PyTorch/JAX) and comfortable turning cutting‑edge papers into reliable, well‑tested code. Enjoy stress‑testing models-probing them for private data leakage-and can explain complex attack vectors to non‑experts with clarity. Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real‑world systems. Thrive in fast‑moving, cross‑disciplinary environments where you alternate between open‑ended research and shipping production features under tight deadlines. Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act for U.S.‑based candidates. For Unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI global applicant privacy policy. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences - join us! The Role This person would work closely with researchers at Tempo, Paradigm, Stripe, and our design partners to invent the future of the Tempo protocol. Responsibilities Design new protocol-level features to solve problems like privacy, capital efficiency, and scaling Pressure-test ideas with the rest of the team and the community Prototype reference implementation into new features and ship into production Explain novel inventions to users, partners, and the world Qualifications Experience with protocol research on topics like consensus, scaling, cryptography, liquidity, and MEV Demonstrated experience shipping production-level features for DEXs, L1s, L2s, or other onchain products. Ability to write, test, and optimize Solidity code. Deep understanding of EVM blockchains, including features like account abstraction and gas metering Interest in using crypto to solve real-world problems around payments Attributes Razor-sharp thinker with precise command of language Concise, evidence-based storytelling ability Excellent organizational and logistical skills Intense curiosity and open-mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr