Research internship jobs in San Anselmo, 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!

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

Research and Implementation of the research for future mobility services Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps and propose novel solutions to enhance performance, reliability, and adaptability of agent-based systems Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning Research experience in Generative AI, Agentic AI, and AI Safety and Alignment Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.) Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations

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.

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At New Culture, we are making cow cheese without the cow. Dairy cheese is unsustainable and plant-based cheeses don't work. Ours are sustainable, healthy, ethical, and indistinguishable from current dairy options in taste, texture, and function. Using fermentation to produce dairy proteins, food science to combine those proteins with natural ingredients, and traditional cheesemaking methods to make any cheese of choice, we are bringing about a new culture for the cheese industry. We are a Bay Area-based, venture-backed startup in an exciting growth and rapid expansion phase. We are looking for a Research Associate, Fermentation to join us in leading the global transformation to an animal-free dairy future. As an early member of the team, you will have significant influence and responsibility in determining the success and trajectory of New Culture. The ideal candidate is looking for a new challenge in a fast-moving collaborative environment and has experience in benchtop fermentation process development, ideally for protein and/or food production. This is a 6-month contract and is based onsite 5-days a week in our office in San Leandro, CA. What will you be doing: Plan and execute benchtop fermentation experiments independently for strain validation, process development, and media optimization Prepare necessary media and stock solutions for fermentation experiments Setup, sterilize, clean benchtop bioreactors, and perform routine maintenance if necessary Monitor fermentation through sampling, checking online parameters, and offline measurements Collect samples and perform routine biochemical assays and analysis Analyze fermentation data, write summary reports, and present project results in team meetings Maintain fermentation run indexes and records Identify potential improvements to the fermentation processes and design experiments necessary to justify process changes Troubleshoot, communicate, and collaborate with other team members to resolve equipment and process issues as they arise in the operation of bioreactors and lab equipment Perform downscaled (shake flask, microwell plate, Biolector) experiments to help optimize process parameters and media components Ensure alignment with other areas of science such as microbiology and downstream processing Develop and maintain SOPs Maintain safe practices and work environment What we expect from you: Bachelor's or Master's degree in Microbiology, Bioprocess Engineering, Chemical or Biochemical Engineering, or related field with 1-3 years of relevant industry or academic experience Ability to correlate microbial physiology with process performance in the bioreactors Willingness to work with a flexible schedule. Ability to lift up to 25 lbs (e.g., carboys of media). Ability to work standing up for up to 4hrs at a time. Ability to deliver high-quality work under constraints of time and budget Ability to work closely in a team of interdisciplinary and intercultural individuals Even better if you had: Hands-on experience with various types of fermentation processes (batch, fed-batch, continuous; aerobic and anaerobic), fermentation equipment and scale, control and analysis software Experience with data visualization and analysis tools such as Python, SpotFire, R, and/or JMP Prior involvement with startups and/or small businesses Salary Range: $77,000 - $95,000 annually How to know you are a great fit: We look for candidates who are team players, learners, doers, and hungry to make a difference in the world. Creativity and resourcefulness, honesty, and empathy go a long way. Our five core values guide us on our path to achieving our mission. Determination with Kindness | Have the resolve, the drive, and the will to succeed, but do it with empathy, encouragement, and compassion. In the face of adversity we will only excel as a team by keeping kindness at the forefront of everything we do. Creativity with Transparency | Creativity, persistence, questioning, and crazy ideas to solve hard problems are essential to our work. We do all of this out in the open while being honest and forthright about the new things we're trying, getting feedback and input from our teammates along the way. Teamwork with Rigor | Hold yourself and those around you to high standards and understand how your responsibilities are interconnected with others. As much as you rely on your teammates, they're relying on you, and only with consistent communication and rigorous teamwork will we achieve our goals together. Speed with Focus | We move quickly, exploring new opportunities and incorporating new results to make progress rapidly. Remaining focused throughout our experimentations means making thoughtful decisions, listening to a range of perspectives, and moving forward as a unified team once we've committed to the path ahead. Love the Product (not just the Science) | The science is cool but the product is even cooler. Our breakthroughs are always in the pursuit of better products. It's by selling delicious dairy that we will bring about a successful future for New Culture and a positive impact for our customers and the planet. New Culture is committed to promoting and creating a diverse, inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity is the foundation of what we do at New Culture, enabling us to build a company that celebrates what makes each of us unique.

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.

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.

⚡ Research Scientists/Engineers (all levels) 🔍 Focus on Vision Data Infrastructure 🤖 Fundamental AI Research Institute 🌎 San Francisco Bay Area, USA 💸 $250,000 - $600,000 salary + annual bonus Come join one of the only research institutions globally with resources to compete with top AI companies =>10s of 1000s of GPUs to explore state-of-the-art research in LLMs, Multimodal and Agentic AI. Currently seeking AI talent with expertise in building scalable pipelines for vision data to support both image/video generative training and multi-modal alignment. You'll design high-performance pipelines for large-scale image and video datasets, enabling efficient pretraining, alignment, and simulation-based data generation. Responsibilities: Vision Data Sourcing & Curation Collect and organize image and video data from open datasets and the web. Handle data cleaning, filtering, deduplication, and metadata generation. Ensure ethical and compliant data collection at scale. Processing & Augmentation Build high-throughput pipelines for vision data preprocessing (frame extraction, resolution normalization, format conversion, latent caching). Implement GPU-accelerated augmentation and distributed data loading (WebDataset, TFRecords, Parquet). Synthetic & Simulation-Based Data Generation Use simulation tools (e.g., Unreal Engine 5, Isaac Sim, Unity) to generate high-quality synthetic vision data. Create specialized datasets for VLM training, visual reasoning, and agent interaction. Requirements: Strong experience with data engineering, computer vision, or machine learning infrastructure. Expertise in building and scaling ETL/data pipelines for large unstructured datasets. Proficiency with Python, PyTorch, and distributed data frameworks (e.g., Ray, Spark, Dask). Experience with WebDataset, TFRecords, Parquet, or similar high-throughput data formats. Familiarity with GPU-accelerated preprocessing, NVIDIA DALI, or equivalent systems. Understanding of image/video codecs, data compression, and cloud storage optimization. Preferred Experience: Prior work with simulation-based or synthetic data generation using Unreal Engine, Isaac Sim, or Unity. Experience curating datasets for multimodal or vision-language model training. Knowledge of data ethics, privacy, and compliance frameworks for large-scale AI datasets. Experience contributing to open datasets or data-centric AI research. Why apply: Opportunity to join a fast-growing core team that are already pushing AI breakthroughs Highly competitive salary package Work alongside ambitious and bright superstars from tech and academia Medical, Dental and Vision Insurance Relocation package available 🌎 San Francisco Bay Area, USA 📧 Interested in applying? Please click on the ‘Easy Apply' button or alternatively email me your resume at ************************

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

Who Are We? Stand Out For Good, Inc. is a rapidly growing women's fashion company with 5 unique brands, in 130+ locations, across 38 states. Our stores feel like a sanctuary - a place of beauty from the inside out. From welcoming experiences and warm associates to thoughtfully curated products, our brands are built upon the founding principles of giving back and making a difference in the World. Our Mission "Stand Out. For Good". At Altar'd State, those four words are more than just our motto, they are why we exist. From Mission Mondays, where 10% of our net proceeds go directly to local charitable organizations, to our long-standing partnership with Coprodeli USA, in which we are in the process of building 22 schools for impoverished communities in Peru, we are committed to giving back in meaningful ways to those in need. We're seeking a Brand Marketing Intern to help us launch our home furnishings brand extension. The internship offers a unique opportunity to gain hands-on experience in an intimate and fast paced environment within the home furnishing and fashion industries. This role is ideal for someone who's eager to blend their design skills with marketing savvy to make a real impact. Key Responsibilities Create visually stunning graphics for social media, email campaigns, and digital marketing. Assist in developing and executing marketing strategies that promote our new home furnishings line. Work with the team to plan and schedule content that aligns with our brand goals. Design and produce marketing collateral, including digital ads, flyers, and promotional materials. Analyze digital marketing metrics to assess the effectiveness of campaigns and suggest improvements. Participate in creative brainstorming sessions to help shape the future of our brand's digital presence. Qualifications Currently enrolled in a relevant degree program (Marketing, E-commerce). Strong communication skills, both written and verbal. Basic understanding of e-commerce platforms. Familiarity with digital marketing and social media platforms. Analytical mindset and the ability to work with data. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. Abatable, self motivated and eager to be involved in anything thrown their way. Must have a few days of open availability and be able to work a minimum of 20-25 hours. What We Offer Hands-on experience working with a talented design team. Exposure to the complete branding process. Opportunities for professional development, long-term extension and mentorship. A creative and supportive work environment. Potential for future full-time employment based on performance. Stand Out For Good, Inc. is an equal opportunity employer and values diversity. All employment decisions are decided on the basis of qualification, merit and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. We are proud to share that our associates have made us one of Fortune's Best Companies to Work For! Recently, our team has received the following recognition: #73 in Fortune 100 Best Companies to Work For 2023 #4 in Fortune Best Workplaces in RetailTM 2022 #93 in Best Workplaces for MillennialsTM 2023 #34 in Fortune Best Workplaces for WomenTM 2022

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** + Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram. + Proficiencyin 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), asevidencedby academic, project, or professional work. + Understanding ofmachine 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. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR and VR: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals. Come join us as we make photorealistic telepresence and autonomous social agents in VR happen! Available projects may include, but are not limited to: Generative AI models for image and video synthesis Motion and behavior synthesis for digital humans VR/AR encoding of social signals Face and body reconstruction and tracking Multimodal LLMs, such as speech-to-speech LLMs and audio-visual LLMs Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, Machine Learning, or related field * Experience with solving "inverse problems" in imaging emphasizing modeling and algorithm development * 2+ years of experience with Machine Learning for solving computer vision and computer graphics problems * Experience with deep learning frameworks such as Pytorch and TensorBoard * Experience with scientific programming languages such as Python * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Proven track record of achieving significant results as demonstrated by patents and first-authored publications at leading workshops or conferences such as ICCV, CVPR, NeurIPS, SIGGRAPH, ICASSP, or similar * Intent to return to a degree-program after the completion of the internship * Experience working and communicating cross functionally in a team environment * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) * Experience with systems building in Python or C++ * Experience with large-scale generative models such as LLMs and video diffusion models * Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels) * Experience with Machine Learning for audio and visual synthesis Responsibilities * Solve research problems in enabling photorealistic telepresence and autonomous social agents. * Collaboration with and support of other researchers across various disciplines. * Communication of research agenda, progress, and results. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Business UnitWhat 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 AltoThe 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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do * Work towards results-oriented research goals, while identifying intermediate achievements. * Contribute to research and advanced development that can be applied to Adobe product development. * Help integrating novel research work into Adobe Firefly product. * Lead and collaborate on projects across different teams. What You Need to Succeed * Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning * Some experience in Generative AI * Experience communicating research to public audiences of peers. * Experience working in teams. * Knowledge in Python and typical machine learning development toolkits. * Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. Join Lambda as a Machine Learning Research Intern and help advance the frontiers of generative AI. You'll collaborate closely with world-class researchers and engineers, leveraging Lambda's compute to optimize model and system performance. Our interns work hands-on across two complementary tracks, Fundamental Research and Applied Research, depending on their interests and experience. What You'll Work On Foundation Models, Multi-Modal, Agents System benchmarking and performance optimization Track 1: Fundamental Research Research in foundation models for language, vision, life sciences and robotics. Multi-modal research, including building efficient data and evaluation toolkits. Publish findings in top-tier ML Research conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV/ECCV, ACL, SIGGRAPH), and/or as technical blogs, public datasets, benchmarks, and open-source tools. Track 2: Applied Research Maximize training and inference performance for large-scale AI systems. Systematic model and agent evaluation. Publish findings in top-tier ML system conferences (e.g. MLSys, OSDI, SOSP, NSDI), and/or as technical blogs, public dataset, benchmarks, and open-source tools. You BS, MS, or Ph.D. student in Computer Science or related field, focusing on Machine Learning. Demonstrated project experience or publications in relevant areas. Proficient in PyTorch or similar frameworks. Strong communication and collaboration skills. Nice to Have Contributions to open-source machine learning projects. Experience with foundation models, multi-modal, agentic systems. Experience with dataset creation, evaluation design, or system benchmarking. Experience optimizing model efficiency or scaling ML workloads. Visit Lambda's research page for more information about our work and opportunities: ******************************* Salary Range Information This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: ************************* We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications. We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole. About the Role As a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces. About You Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field Strong programming skills in Python with ability to quickly learn new frameworks Solid understanding of algorithms and data structures Problem-solving mindset with attention to detail in experimental work Ability to work collaboratively in a fast-paced research environment Enthusiasm for learning about neuroscience and brain-computer interfaces Responsibilities Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires Develop performant, distributed pipelines and algorithms for EEG data processing and analysis Perform rigorous quality checks and preprocessing to ensure data integrity Experiment with different parameters to optimize EEG data collection and analysis conditions Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects Maintain thorough documentation of experiments, procedures, and results Required Skills Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required Nice to Have Experience with deep learning frameworks and techniques Knowledge of signal processing for data preprocessing and analysis Familiarity with EEG or other neuroimaging modalities Previous research or project experience in experimental design Compensation & Benefits $30/hour USD Corporate housing provided Potential for full-time conversion based on performance

Description Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Worldwide Research and Development From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases. SUMMARY: The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, along with exposure to the pharmaceutical and biotech industry. Over the course of 10 - 12 weeks, interns gain industry experience while working alongside our talented team on meaningful projects. This paid internship will be in the Skeletal and CNP Research group, which is part of BioMarin's Research & Early Development department. The SCNP Research group is responsible for the earliest stages of drug development, which includes proposing new drug strategies for diseases of interest and conducting proof of concept laboratory experiments to support that therapeutic strategy. JOB DESCRIPTION/PROJECT: Throughout the summer, this research intern will be exposed to the industry research atmosphere and introduced to a variety of laboratory techniques used to support the drug development process, which may include techniques like cell culture, western blot, microscopy, and PCR. Interest: Student in their 3 rd or 4 th , pursing a Bachelor's Degree (BS) biological sciences Understanding the application of biological techniques to support industry research Drug therapeutic development Theoretical knowledge: Mammalian cell culture RT-qPCR Western blotting Microscopy and cell imaging SDS-PAGE Other molecular biology and biochemical techniques Qualifications/Eligibility: Undergraduate student pursing a degree in life sciences. Must be available to work full-time, 40 hours a week onsite. Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles. Benefits of a BioMarin Internship: Paid hourly wage, paid company holidays, and sick time Apply skills and knowledge learned in the classroom to on-the-job experiences Comprehensive, value-added project(s) Develop skills specific to your major. Opportunities for professional development by building relationships and learning about other parts of the business. Participate in company all hands meetings, monthly community lunches Corporate office amenities such as 24/7 on-site gym, coffee truck, snacks Access to Employee Resource Groups Assistance with housing/transportation to help alleviate costs associated with the internship for eligible employees. Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is $24 to $ 27 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Application Process This position is open until filled. For full consideration, please submit an application, along with a cover letter and resume. Please review the position description listed above for full scope of responsibilities and qualifications. Job Summary Reporting to the Anthropological Studies Center (ASC) Business Director, with additional lead work direction from the ASC management team, the Archaeological Research Technician gathers, compiles and analyzes archaeological research data and materials associated with archaeological surveys and excavations. Key Qualifications This position requires the equivalent to graduation from a four-year college or university, including or supplemented by a course in statistics and one year of experience in technical research or statistical work. One year of graduate study in social sciences, anthropology, archaeology or cultural and heritage resource management fields may be substituted for the required experience and additional experience which has demonstrated that the applicant has acquired and successfully applied the knowledges and abilities delineated above may be substituted for the required education on a year-for-year basis. Experience with archaeological sites and in field or lab settings, oral history or interpretive work and a bachelor's in Anthropology or closely related discipline strongly preferred. Proficiency with computers, Google Suite and Microsoft Office Suite (Word, Excel) required. Knowledge of PeopleSoft preferred. Salary and Benefits This is a part time, temporary, non-exempt position. The CSU Classification Step Range for this position is $26.51 - $38.62 per hour (step 1 - step 20). Step placement will be determined based on relevant qualifications and professional experience. Step placement upon appointment is not expected to exceed Step 1, $26.51 an hour. Reappointment to this position is dependent upon the individual's performance as well as administrative and budgetary considerations. The university reserves the right to terminate this appointment earlier than the scheduled expiration date. Supplemental Information Sonoma State University is committed to achieving excellence through teaching, scholarship, learning and inclusion. In line with our Strategic Plan and our Seawolf Commitment, our values include diversity, sustainability, community engagement, respect, responsibility, excellence and integrity. We strive to cultivate a community in which a diverse population can learn and work in an atmosphere of civility and respect. We encourage innovation, experimentation and creativity, as well as contributions to equity and inclusion, in the pursuit of excellence for all members of our university community. The University is an Affirmative Action/Equal Opportunity Employer. We consider qualified applicants for employment without regard to race, religion, color, national origin, ancestry, age, sex, gender, gender identity, gender expression, sexual orientation, genetic information, medical condition, disability, marital status, or protected veteran status. Mandated Reporting: This position may be considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Policy - Sonoma State University, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022 the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for this position. Sonoma State University is not a sponsoring agency for staff positions (i.e. H-1B visas). Positions are posted for a minimum of 14 calendar days. For questions related to the application process, please reach out to *************. The ADA Coordinator is also available (hraccommodations@sonoma.edu) to assist individuals with disabilities in need of accommodation during the hiring process. Sonoma State University's Annual Security Report includes summaries of institutional policy relating to campus safety, drug and alcohol use, sexual assault, and other matters. The report is published in compliance with the Clery Act and includes three years of certain crime statistics that occurred in Clery Act defined geography. A paper copy of the report may be requested in person by emailing the Clery Compliance and Safety Office at ****************. Pursuant to the Higher Education Opportunity Act, the Annual Fire Safety Report (AFSR) is available for viewing at ********************************************************************************** The purpose of this report is to disclose statistics for fires that occurred within Sonoma State University student housing facilities for three years, and to distribute fire safety policies and procedures intended to promote safety on campus. A paper copy of the AFSR is available upon request by contacting the Residential Education and Campus Housing at ******************. Advertised: Oct 14 2025 Pacific Daylight Time Applications close: