Researcher jobs in Pleasanton, CA

SUPERCOMPUTING AI LAB W/ MULTIMODAL GENERAL AGENT AI STARTUP - SERIES A $1.2B VALUATION Goliath Partners has exclusively teamed up with an early stage startup AI Lab in SF currently valued at over $1B just after announcing their Series A. The firm has fundamental research bets on next-gen model architectures for long term memory and continual learning. Have lots of GPUs and are planning to get to frontier soon on the model side. Funding wise, their Series A was led by none other than Jann Tallinn. Jann has only led two other Series A's in the past - DeepMind and Anthropic! The team includes ex-DeepMind, Nvidia, Anthropic and Twitter professionals, and they are operating at the cutting edge of the AI space. They're hiring an ML Research Engineer to: Design and implement autonomous agents that can code, reason, and self-verify across real software environments Build full-stack infrastructure for prompt routing, task planning, retrieval, and sandboxed execution Apply post-training techniques (SFT, DPO, RLHF) and build eval benchmarks for multi-step reasoning and coding tasks Total Comp: $300-325k from a base perspective. Equity will also be involved at anywhere from .1% - 1% (equaling $1-10M in equity). If this sounds interesting, I'd love to share more. Please apply with an updated copy of your resume and Goliath will get in touch!

About the Company We are a seed-stage AI company building the industry standard for evaluating and benchmarking large language models on real enterprise tasks. About the Role As a Research Scientist, you will develop new benchmarks, methodologies, and evaluation pipelines that shape how cutting-edge models are assessed, compared, and deployed in production environments. Your work will directly influence model selection and safety decisions across foundation model labs, high-growth AI product companies, and Fortune-scale enterprises. Responsibilities Benchmarking & Model Analysis Evaluate newly released models as they launch (e.g., Gemini, DeepSeek, etc.) Run large-scale assessment workflows using internal evaluation infrastructure Compare model performance across enterprise-grade task categories Design New Benchmarks from Scratch Identify high-value model application domains through research exploration Construct datasets, including labeling strategy and workforce coordination Write short “white-paper-style” summaries explaining benchmark purpose, method, and findings Advance Automated Evaluation Methodologies Improve systems for scoring generated text beyond standard metrics Explore research in reference-free, rubric-based, and human-aligned evaluation Develop new techniques for reliability, consistency, and repeatability Cross-functional Collaboration Work closely with engineering to scale evaluation infra Partner with customers to refine evaluation relevance and task fit Influence product direction through research insights Qualifications 0-3 years post-grad experience (Master's, PhD, or equivalent applied research) Publications, preprints, or demos showing cutting-edge work Experience with diffusion models, NLP, multimodal, or benchmarking work Ability to operate independently with ambiguity Clean, maintainable research codebases Candidates from: top engineering/research universities applied AI startups well-regarded research internships Required Skills Built or contributed to a benchmark or evaluation methodology Experience in enterprise task model evaluation Stanford / top lab adjacency (per their historical hiring success) Preferred Skills Wants to publish as primary motivation Purely academic with slow timelines Big-tech culture fit concerns (Meta / Google / Salesforce specifically noted-but case-by-case) Pay range and compensation package Base Salary: up to $250K depending on background Equity: typically 0.3% - 0.5%, flexibility for exceptional candidates Rapid equity refresh possible based on impact Equal Opportunity Statement Visa sponsorship available. Relocation support. Health & dental coverage. Lunch + dinner provided, snacks & coffee. Unlimited PTO. Weekly happy hours with community guests. Team events (bowling, hiking, rock climbing, etc.). Swag program (hats, etc.). Work Environment & Culture In-person, San Francisco HQ (required). Core hours: 9-5, some teammates extend voluntarily. Most team members work 1 weekend day per week (flexible). High-ownership, low-ego, collaborative. Live demos Mondays, team lunch Thursdays, community Fridays. Early-stage pace, applied focus-not academic publishing. Tech Environment (while research-focused, exposure beneficial) Backend: Python / Django. Frontend: React + TypeScript. Infra: AWS. Evaluation frameworks + internal tooling. Why This Role Is Unique The company already collaborates with foundation model labs, high-growth AI vertical product companies, and Fortune 500 enterprises (not publicly facing). ChatGPT Vals AI $5M seed raised, runway of 2+ years at current burn. Only one research scientist is being hired-true founding impact. Opportunity to define industry standards for model trust, reliability, and certification. Positioned to become the rating agency for generative AI.

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

Job Title: Research scientist (Robotics, AI) Position Type: Full-Time / Permanent Salary range: $200,000/yr - $270,000/yr Job Description: We are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated research scientists to join our founding team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities: Develop new algorithms and methods for training AI models for enhancing the robot dexterity. Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). Work with large-scale ML systems and large-scale model training/fine-tuning. Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. Passionate about working with robots and building robot products. Excellent analytical, problem-solving, and communication skills. At least 3 years of experience conducting independent research. Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. Proficient with Python. Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. Experience with real robot experiments. Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro stands as a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue to lead the way in global talent solutions. IntelliPro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We also ensure that all applicants have access to accommodations throughout the hiring process. Learn more at *************************** Compensation: The compensation offered will depend on various factors, including location, experience, education, and job-related skills. This role includes a competitive base salary, bonus, equity, and a comprehensive benefits package, subject to eligibility.

⚡ 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 ************************

Early-stage (vertical RL) company looking to hire a Sr. Applied RS with a strong background in reinforcement learning. Qualifications: Applied Research with MS or PhD in a related field and 4 + years industry experience in deep learning and 2+ years with reinforcement learning Successful track record as a self-starter in 0->1 scenarios with a proven ability to take SOTA models into production Please note: Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of the startup investments in our portfolio. About Us: Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here: ********************* We are full-time, salaried employees of Greylock who provide free candidate referrals/introductions to our active investments to help them grow/succeed (as one of the many services we provide). Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Primary Skills: UX Research (Expert), Data Analysis (Advanced), Survey Design (Expert), AI Research (Medium), Content Moderation (Advanced) Contract Type: W2/C2C Only Duration: 6+ Months Contract (High possibility of extension) Pay Range: $75 - $95 Per Hour on W2 #LP Job Summary We are seeking a dedicated UX Researcher & Metrics Analyst, focusing on creating, delivering, and managing a measurement framework for Content Moderation and AI Critical User Journeys. The ideal candidate will enhance the existing Critical User Journey Framework, manage the UX Metrics program, and conduct qualitative UX research studies. This role involves in-depth work on validating attributes, defining measurement specs, executing surveys, and generating comprehensive quarterly research reports. Key Responsibilities Develop and enhance the measurement framework for Content Moderation + AI Critical User Journeys. Manage the content moderation UX Metrics program, executing surveys, creating quarterly research reports, and designing custom UX metrics. Conduct qualitative UX research studies, including usability studies, contextual inquiries, and creating detailed research reports. Independently define UX measurement frameworks and select appropriate measurement instruments. Field, analyze, and report on surveys tailored to Reviewer Satisfaction and Tooling Effectiveness, alongside updating survey questions as necessary. Must-Have Skills Proven experience in UX Research and defining measurement frameworks. Expertise in survey design, fielding, and data analysis. Ability to conduct usability studies and produce in-depth research reports. Prior experience in UX research within content moderation platforms or AI-enhanced user journey optimization is highly preferred. About Akraya Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

The University of California, San Francisco (UCSF) is dedicated to advancing health worldwide through innovative research, high-quality education, and exceptional patient care. UCSF is recognized for fostering collaboration among its renowned graduate schools, medical center, and research programs. The university is committed to excellence, driving breakthroughs that improve lives. UCSF serves as a hub for scientific discovery and education in the heart of San Francisco, CA. The position is in the group of Drs. Boris Bastian and Iwei Yeh at UCSF's Helen Diller Family Comprehensive Cancer Center, leaders in melanoma genetics and translational research. The lab offers a stimulating, collaborative environment with access to cutting-edge technologies and interdisciplinary expertise. Role Description This is a full-time, on-site role for a Postdoctoral Researcher based in the Melanoma Discovery Lab at the University of California, San Francisco (UCSF) is seeking a highly motivated postdoctoral fellow (MD or PhD) to study systemic immune responses to gene fusion-driven cancers. This project explores how potent oncogenic fusions can initiate neoplastic growth while simultaneously triggering immune surveillance, with Spitz tumors serving as a model. The broader aim is to understand how similar transient, immune-contained lesions may arise in other tissues and be eliminated before clinical detection. The fellow will join a collaborative effort between cancer geneticists/melanoma biologists and genetic immunologists, combining genomic and immunologic approaches to study the systemic response to fusion-driven neoplasms. Qualifications MD or PhD in cancer biology, immunology, genetics, or related fields Strong research background and publication record Experience with molecular, genomic, or immunologic methods preferred Intellectual curiosity about tumor-immune system interactions Proficiency in Laboratory Skills and experience in conducting hands-on experimental work Strong Research and Data Analysis capabilities with attention to detail Experience with publication in peer-reviewed journals is a plus To Apply Send a CV, brief statement of research interests, and contact information for three references to **********************.

, December 8th-May 31st, 2026 Hours: Monday through Friday 8:00-5:00 PM Onsite, in Menlo Park, CA Required Skills & Experience -Bachelor's degree or relevant coursework in engineering, research, or a related field (or equivalent experience). -Strong attention to detail and organizational skills. -Basic technical aptitude and familiarity with handling electronic devices. -Experience with FedEx shipping systems or package tracking preferred. - Basic knowledge of microsoft excel - Excellent communication and teamwork abilities. Job Description Overview: Insight Global is seeking a detail-oriented Research Assistant to support the deployment of prototype equipment for upcoming remote user studies. This role is part of a dynamic team responsible for testing and preparing electronic prototype devices before they are shipped to study participants. Key Responsibilities: - Assist in testing and validating prototype electronic devices to ensure full functionality prior to shipment. -Prepare, package, and ship devices to participants involved in remote, in-home studies using FedEx as the primary shipping method. -Track shipments and ensure timely delivery and return of study equipment. -Maintain detailed records of device testing, configurations, and shipping status. -Collaborate closely with research and engineering teams to ensure accuracy, quality, and timely deployment. -Troubleshoot and document any technical issues during pre-deployment testing. -Document in excel for additional tracking purposes Why Join Us: This is an exciting opportunity to contribute to cutting-edge research by ensuring the successful deployment of innovative technology.

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.

Kelly Science & Clinical is seeking an In Vivo Research Assistant for a contract opportunity with one of our clients, a synthetic biology and cell therapy biotechnology company in Menlo Park, CA. If you are driven by the prospect of translating cutting-edge scientific discoveries into tangible advancements and are poised to advance your career, join us as we pioneer progress in the biotechnology and medical device industries. Workplace: Onsite in Menlo Park, CA Position Title: Research Assistant, In Vivo Tumor Models Position Type: contract Pay rate: $30-40 per hour Schedule: Part-time Animal Technician - In Vivo Oncology (Mouse Models), Biotechnology Startup - San Francisco Bay Area, CA Are you ready to drive transformative research at the frontier of cell therapy innovation? Join a pioneering biotechnology startup in Menlo Park, where your expertise with in vivo mouse models will be instrumental in shaping therapies with the potential to change the course of medicine. As an early team member, you'll collaborate closely with visionary scientists and engineering innovators, making a direct impact on the culture, direction, and scientific breakthroughs of our organization. About the Opportunity: We're searching for a dedicated Animal Technician with a robust background in managing and executing solid tumor studies using immunocompromised and humanized mouse models. Your hands-on skills and analytical insight will enable our platform to accelerate the design, screening, and optimization of novel cell therapies that harness the full therapeutic power of cellular engineering. You will be critical in supporting our rapid innovation cycles, where new tools and approaches are continuously tested and refined. Mission & Environment: Our team believes that cellular biology holds the blueprint for tackling the most challenging diseases-from cancer and viral infection to autoimmunity and aging. We apply cutting-edge synthetic biology and systems immunology to engineer next-generation cells capable of precisely and potently fighting disease. Our approach goes far beyond established paradigms, leveraging novel receptor technologies and high-throughput screens to uncover untapped avenues for therapy development. Responsibilities Lead day-to-day execution and management of oncology mouse model experiments. Independently plan and coordinate study timelines in partnership with research scientists. Serve as the main interface with vivarium partners to ensure seamless in vivo operations. Maintain stringent protocol compliance according to all institutional and regulatory standards. Collect, analyze, and interpret preclinical data to inform project decisions and accelerate development. Proactive communication and collaboration to move projects forward in a fast-paced, multidisciplinary environment. Qualifications Minimum 3 years of hands-on in vivo research experience, ideally in cancer or related therapeutic areas within industry settings. No formal education requirement; demonstrable expertise is key. Flexibility to support weekend research schedules. Exceptional process discipline and attention to detail. Proven ability to troubleshoot challenges and implement solutions rapidly. Strong organizational and communication skills, with reliability in managing and executing assigned responsibilities. Collaborative spirit and a track record of contributing to impactful scientific endeavors. Ideal Fit: Takes pride in reliability and personal accountability. Seeks flexibility in work hours and the possibility of full-time engagement. Thrives in a close-knit, high-impact team with diverse skillsets. Eager to take on new responsibilities and champion team success. Shares a passion for advancing health through cell engineering and community-driven science. Join us and help unlock the next era of engineered cell therapies-where your work directly contributes to solutions for today's most urgent medical challenges.

DocCafe has an immediate opening for the following position: Physician - Academic/Faculty/Research in Stockton, California. Do not pass up this chance, apply quickly if your experience and skills match what is in the following description. Make $268,000 - $300,000/yearly. DocCafe is the premier physician and advanced practice job board to help you advance your healthcare career. ---------------- Register now to apply for this job and for access to 120,000+ other openings. DocCafe Offers: * Free Physician and Advanced Practice Job Search: Easily search, review and apply to jobs that meet your requirements. Plus, set up e-mail alerts for when new jobs are added that meet your search criteria. * Professional Profile: Attract employers with a profile page that includes your CV, credentials and other medical professional information. * Confidentiality: Decide which information you want to share and when you appear in an employer's search results. * Career Matching Support: Our experienced team can match you to your dream based on your unique preferences. xevrcyc Get started with DocCafe today.

Community Medical Centers Full Time Employed New Graduates Loan Repayment Sign-On Bonus: $100000 Compensation: Range depends on experience starting with one year experience. In addition, there are generous quality and productivity bonuses. Benefits: Generous PTO, sick leave, CME time, holidays, Medical, etc.

By submitting your resume, you're expressing interest in one of our 2026 Computer Vision and Deep Learning focused Research Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Vision and Deep Learning teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA. What you will be doing: * Design and implement novel computer vision and deep learning methods. * Collaborate with other team members, teams, and/or external researchers. * Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research. What we need to see: * Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship. * Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.) * Strong background in research with publications at top conferences. * Excellent communication and collaboration skills. * Experience with large-scale model training is a plus. Potential internships require research experience in at least one of the following areas: 3D Vision and Scene Understanding * Optical Flow/Scene Flow * SLAM * Depth Estimation * Digital Twins Human-Centric Vision * Human Motion Modeling * Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Avatar Generation) * Physics-Based Clothing/Hair/Body Simulation Neural Rendering and Generative 3D * Diffusion Models * World Models * Neural Radiance Fields (NeRFs) * Novel View Synthesis * 3D Content Creation Model Architectures and Efficiency * Efficient Deep Learning * Model pruning and compression * Efficient vision transformers * Neural Architecture Search (NAS) Multimodal and Vision-Language Models Synthetic data generation Weather and Atmospheric Simulation Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. Your Impact As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. Minimum Qualifications * Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools. * Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). Preferred Qualifications * Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization. * Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. * Familiarity with agentic AI concepts, agent frameworks, and related applications. * Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work. * Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Meta is seeking a Postdoctoral Researcher to join the Imaging Experience Architecture (iXA) team. As part of the iXA team, you will have the unique opportunity to interact with the best-in-class architects, scientists, and engineers working to define the future of display. At Meta, our goal is to build products that provide optimal content reproduction for each device. Content fidelity and consistency is critical to the success of Meta devices that feature displays. To this end, we must architect pipelines that ensure that color rendering appears consistent from device to device, regardless of the capabilities of the display or camera and viewing conditions.As a Postdoctoral Researcher, you will be experienced in the use and implementation of visual metrics, including reference and no-reference versions. The position is focused on creating and applying novel metrics to specialized problems related to Meta business cases for novel display modes including virtual, augmented and mixed reality (AR/VR/MR). Special focus is given to perceptual modeling, and subjective measurement and validation of different aspects of vision and display, such as stereo, color, high dynamic range, etc. **Required Skills:** Postdoctoral Researcher, Perceptual Graphics (PhD) Responsibilities: 1. Study and understand vision science literature, and use in-depth subject-matter knowledge to model key aspects of human vision (e.g. stereo, color, contrast and luminance, etc.) 2. Generate models pertaining to these aspects of vision, including specific adaptations for AR/VR/MR use cases 3. Perform subjective data collection to extend the state-of-the-art when necessary, as well as to validate the proposed models 4. Contribute to the formulation of a roadmap for generating metrics and evaluation protocols for problems associated with Meta products 5. Contribute to solutions for optimizing AR/VR/MR rendering using objective and subjective techniques 6. Consider power-efficient techniques subject to platform HW constraints **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 8. Currently has or is in the process of obtaining a PhD in computer science, vision science, or related fields, or equivalent practical experience. Degree must be completed prior to joining Meta 9. Experience with image and video quality evaluation 10. Experience designing and performing psychophysical experiments 11. Understanding of perception, including some topics like contrast, luminance, color, stereo, etc 12. Experience using Matlab, Python, or similar programming languages 13. Experience working and communicating cross functionally in a team environment 14. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 15. Familiarity with objective and subjective image quality evaluation metrics 16. Experience using standard lab equipment for camera/display measurement and testing 17. Familiarity with spatial and temporal perception 18. Familiarity with stereoscopic visual modeling 19. Familiarity with AR and VR systems 20. Familiarity with CIE, ISO and related standards for color 21. Understanding of the graphics rendering pipeline 22. Demonstrated software engineering experience 23. Knowledge of optics, signal processing, mathematical modeling and/or simulation expertise with respect to visual perception and/or systems design 24. Demonstrated software engineering experience via an internship, work experience, coding competitions or PhD papers 25. Proven track record of achieving significant scientific results as demonstrated by publications in high-impact journals or conferences (e.g. SIGGRAPH, CVPR, NeurIPS, etc.) 26. 1+ year of industry experience designing and building image quality evaluation systems for practical applications **Public Compensation:** $117,000/year to $173,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

+ Looking for a quantitative researcher with good understanding of statistical analysis. **Responsibilities:** + Conduct qualitative and quantitative user studies, primarily in-lab usability and human factors research. + Perform multivariable statistical analyses (ANOVA, Mixed model analysis, linear & logistic regression, correlation) using SPSS. + User study moderation. + Administer questionnaires and surveys. + Assist other user researchers with various user research preparation activities. + Qualitative and quantitative data analysis/synthesis. + Basic user testing analyses. **Experience:** + 3+ years of relevant experience. + Strong knowledge of experimental design and statistical analysis. + Experience with one or more of the following methods: usability studies, concept tests, benchmarks, diary studies, interviewing consumers (aka user interviews), field research, surveys. **Skills:** + Quantitative Research. + Usability research. + KPI identification research. + ANCOVA/MANCOVA/ETA2/F-TEST. + SPSS/R/STATA/NVIVO/MATLAB/JAVA/GO **Education:** + B.A./B.S. (Completed) in Human Factors, Psychology, HCI/Computer Science, or other related fields or equivalent practical experience. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Business Unit What the Role Entails 1.Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios. 2.Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership. 3.Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities. Who We Look For 1.Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field. 2.Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred. 3.Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus. 4.Participation in ACM/NOIP competitions is highly desirable. 5.Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Merchants are a key component of the shopping ecosystem on Pinterest today. They help us create experiences where Pinners can discover and engage with a wide variety of brands, products, and shoppable content. As a researcher on the Merchant team, you'll be challenged to take on work that helps us attract, onboard, activate, and deliver value for merchants at scale on Pinterest. This role is part of our central research team and embedded within the shopping space, working specifically with Product, Engineering, Design, and other cross-functional partners to build experiences that help Merchants succeed on Pinterest. We're looking for a qualitative researcher who has worked on digital e-commerce or advertising experiences and who can bring actionable insights to life to drive product impact. The ideal candidate is an experienced researcher who can lead, design, execute, and communicate impactful research on a deadline in a fast paced product development environment. What you'll do: Prioritize and conduct research that varies in approach, scale, scope, timeframe and methodologies across multiple work streams, making sure to work on the right project at the right time Select and communicate the appropriate method or mix of methods (ranging from usability testing, diary studies, semi-structured interviews, participatory workshops, and everything in between) to answer research questions Build strong relationships as a strategic partner with Product, Design, Engineering, Product Analytics & Data Science, Product Marketing and other cross-functionals to identify high impact work and ensure it lands within teams Proactively communicate and share research findings with product teams, leaders, and other audiences in compelling, actionable, and engaging ways Inform and guide product decisions and strategy within the Merchants and broader shopping space What we're looking for: Bachelor's degree in psychology, a related field or equivalent experience 4+ years experience designing and conducting end-to-end product research (from initial design and recruitment through final deliverable) as part of cross-functional product teams Ability to toggle between owning and executing end-to-end research and leveraging insights to shape strategy and influence decision making with product leaders Broad toolbox of qualitative methods and the ability to select appropriate methods to answer different types of questions Curiosity, self-awareness, humility, and a drive for growth, learning, and sharing knowledge Excellent communication, collaboration, and group facilitation skills Experience recruiting and conducting research with businesses or on B2B products, a plus Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-BL5 #LI-REMOTE