Graduate research assistant jobs in Novato, CA

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

⚡ Research 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 ************************

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!

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.

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.

Looking for a Rewarding Role for the 2025-2026 School Year? We're excited to be expanding to the San Francisco Peninsula area! Join us as a full-time paraprofessional, supporting K-12 students with special needs during the 2025-2026 school year. Make a real impact while growing your career in education. As a Teaching Assistant, you'll actively support lead teachers in delivering engaging lessons, working with students individually or in small groups to reinforce learning concepts and foster academic progress. Responsibilities: - Assisting the classroom teacher to maintain a safe learning environment - Provide one-on-one or small group assistance to students with special needs, reinforcing lessons and implementing IEPs to achieve goals - Assist in compiling classroom communications including supporting with differentiation for different children's needs - Assist with classroom management, redirecting behavior, and implementing behavior management plans - Facilitate interactions between students with disabilities and their peers, teaching and modeling strategies for positive interaction - Use a variety of learning methods to enhance the student learning experiences and support them as needed - Support with personal care or hygiene as needed, including toileting, feeding, and dressing Required Qualifications/Experience: - High school diploma or the equivalent - Experience working with children with special educational needs - Experience working with personal care - Passion for working within special education - U.S. work authorization (Zen Educate cannot provide sponsorship for an employment visa or relocation assistance at this time) - Applicants must be professionally proficient in English - CPR and First Aid (certification will be provided for otherwise qualified candidates) Physical Requirements: - Comfortable being on your feet and moving around the classroom throughout the day - Able to lift up to 20 lbs and safely assist students when needed (kneeling, bending, quick response) - Additional physical requirements may be requested during your application process Preferred Qualifications/Experience - Past work experience in a school - CPI Training Salary Pay: $25 - $29 per hour, paid weekly. Schedule: Monday to Friday, within hours of 7:30 am - 3:00/4:30 pm (no weekend work). Benefits: - Weekly pay - Paid Sick Leave - 401K (certain eligibility criteria) Ready to get started? Connect with a recruiter today to explore open opportunities. Why Zen When you work with Zen Educate, you're never on your own. Our team offers continuous support, from your first application to your first day in the classroom and beyond, to help you succeed and grow in your role. About Zen Zen Educate partners with public and charter schools across various school districts to build stronger school communities. Our team is committed to supporting educators with personalized job matches and ongoing mentorship at every step. Ref: SF-LOC-TA-December2025-105

, 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.

Machine Learning Research Engineer - Video Intelligence - Up to $250k A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for an Applied Research Engineer to join their team. What You'll Be Doing Build high-performance video understanding systems and large-scale processing pipelines Tackle ambiguous research problems with creative technical solutions Optimize model performance through clever pre/post-processing, parallelism, and inference optimization Work directly with customers and external teams to deliver end-to-end video intelligence products Collaborate with leading AI video labs on cutting-edge applications What We're Looking For 3+ years experience in computer vision or audio processing Strong Python skills with PyTorch or similar ML frameworks Excellent communication abilities, especially customer-facing Clean, maintainable coding practices Product-minded approach - you want to build complete solutions, not just train models Early startup experience is a plus What's In It For You: Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

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.

We're a national Wireless Preferred Retailer with 200+ retail stores across the U.S. Since '93, we've been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer's demand! Do you think you have what it takes to be an Archer? If so, keep reading! Arch Telecoms Mobile Associates (MA) work as part of a Retail Team to bring the brand to life. They live and breathe the brand and Arch Telecoms Core Values. Our MAs are brand ambassadors, they create energy and excitement around our products and services. They thrive in a fast-paced fun environment where customer needs are their first focus. They immerse themselves in meaningful connections with our customers by building new and deepening existing relationships. They continuously work to build expertise in uncovering our customers needs and have a passion to educate, demonstrate and recommend device and service solutions. This role is a learning role, where you will be expected to work with your team to build required skills and expertise in preparation for a promotion to Mobile Expert upon training completion. What you'll do in your role? Learn and build proficiency in customer service, while concurrently providing a best in class customer experience and building loyalty by: * Helping customers pick up right where they left off in their shopping journey, whether online, through Customer Care or in-store * Exploring individual needs and providing hands-on demonstrations of the latest and greatest technology in-store. * Side-by-side selling to find personalized solutions beyond the bare-bones device and service plan that keep our customers connected to the people and lifestyle they love, including anything from unique accessories to up and coming Internet of Things (IOT) devices. * Guide your customers through their purchasing experience thoughtful questions, informative answers and sharing your expertise. Approaching service and sales needs with patience, honesty, and empathy. Become proficient in the use of digital tools designed to enhance interactions and onboarding to actively demonstrate: * How our ever-expanding coverage stacks up in our customers neighborhood, providing them with a lightning fast LTE network! * Why plans and services will let our customers live unlimited, feel the love, stay connected and go further. * How were redefining how wireless is done, down to device and account inspection, review and troubleshooting. Complete training on in-store experience, new skills and processes, knowledge of systems and reference resources. Build relationships with and partner with employees across channels, including business and customer service to: * Collectively own the customer experience and resolve issues, creating a seamless, run-around-free environment. * Successfully identify and handoff small business leads. * Develop strong peer relationships where we are all accountable for the companys success. * Be willing to have a good time while providing first class customer experience The ideal candidate will bring: * A strong desire to learn and master the skills required of our customer advocates and to build meaningful connections with our customers. * Competitive drive and demonstrates the confidence to succeed in a fast-paced sales environment. * Willingness to work alongside peers and store leaders, learning and sharing best practices, while serving customers and providing resolutions to issues. * Effective at balancing customer experience and performance goals. * 6 months of customer service and/or sales experience, Retail environment preferred Whats in it for you? * Employee Stock Ownership Program (ESOP) * Competitive hourly pay * Uncapped commission earnings * Automatic raises when reaching attainable milestones * Exciting opportunities for career advancement * A culture of care & excellence * Health Benefits for Full Time Employees * BONUSES: Monthly sales incentive programs, contests, rewards and more. What must haves do you need? * Be at least 18 years of age * High school degree or GED * Ability to stand for long periods of time * Ability to lift objects weighing up to 25lbs * Reliable transportation * Full Time (40 hours) or Part Time (20+ hours) availability Diversity & Inclusion is a foundational principle of Arch Telecom. Embracing a diverse workforce is a significant contributor to our success as an organization. Employees with diverse perspectives, backgrounds, and experiences allow us to better reflect the communities whom we serve and result in a superior customer and employee experience. We embrace the diversity that makes our employees unique, and we welcome everyone to our team. YOU BE YOU! Apply Now: ******************* Inquiries: **************************

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

Series A company looking to hire a Sr. Applied RS with a good background in multi-agent reinforcement learning. The related challenge is figuring out how to use feedback from an objective function on (consumer) pricing to reinforce a multi-agent enterprise system (many components). Qualifications: Applied Research with MS or PhD in a technical field and 4 + years relevant industry experience 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).

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!

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.

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.

Get Set for the 2025-2026 School Year! Step into full-time paraprofessional and classroom aide roles and support students with special needs in real classroom settings. You'll grow your skills, gain meaningful experience, and work where your support matters every day. These roles support students with a range of special education needs, including mild, moderate, and severe needs. Don't wait! Connect with a recruiter today and take the first step toward your future in education. Our Teacher Aides are fundamental to a smoothly running classroom, providing practical support that allows teachers to focus on instruction, while also offering encouragement and guidance to students throughout the school day. Responsibilities: - Assisting the classroom teacher to maintain a safe learning environment - Provide one-on-one or small group assistance to students with special needs, reinforcing lessons and implementing IEPs to achieve goals - Assist in compiling classroom communications including supporting with differentiation for different children's needs - Assist with classroom management, redirecting behavior, and implementing behavior management plans - Facilitate interactions between students with disabilities and their peers, teaching and modeling strategies for positive interaction - Use a variety of learning methods to enhance the student learning experiences and support them as needed - Support with personal care or hygiene as needed, including toileting, feeding, and dressing Required Qualifications/Experience: - High school diploma or the equivalent - Experience working with children with special educational needs - Experience working with personal care - Passion for working within special education - U.S. work authorization (Zen Educate cannot provide sponsorship for an employment visa or relocation assistance at this time) - Applicants must be professionally proficient in English - CPR and First Aid (certification will be provided for otherwise qualified candidates) Physical Requirements: - Comfortable being on your feet and moving around the classroom throughout the day - Able to lift up to 20 lbs and safely assist students when needed (kneeling, bending, quick response) - Additional physical requirements may be requested during your application process Preferred Qualifications/Experience - Past work experience in a school - CPI Training Salary Pay: $27 - $29 per hour, paid weekly. Schedule: Monday to Friday, within hours of 7:30 am - 3:00/4:30 pm (no weekend work). Benefits: - Weekly pay - Paid Sick Leave - 401K (certain eligibility criteria) Ready to get started? Connect with a recruiter today to explore open opportunities. Why Zen At Zen Educate, we take the time to understand your preferences, experience, and career goals, then match you with schools that fit your needs. Our personalized approach makes finding the right role faster, easier, and more rewarding. About Zen Zen Educate helps schools hire dedicated paraprofessionals and teaching assistants, creating smart, timely matches that support students with special education needs and strengthen school communities. Ref: SF--TA-December2025-105

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.