Postdoctoral scholar jobs in Redwood City, CA

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

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

Join the Frontier of AI-Driven Hardware Design Are you passionate about pushing the boundaries of artificial intelligence and eager to see your research power the next generation of computational hardware? We're a stealth-mode AI research and product lab on a mission to revolutionize chip design. Our team is reimagining how custom silicon is created-using advanced AI to dramatically accelerate and optimize the process, making ultra-efficient, domain-specific chips a reality. About Us Founded by leading minds from top universities and industry labs, our team brings together AI researchers and engineers from organizations like DeepMind, Meta, Apple, and Intel. We're backed by world-class investors, including renowned scientists, professors, and founders in the hardware and AI space. Here, you'll work alongside pioneers at the intersection of machine learning and hardware, building the intelligence layer for tomorrow's computing revolution. Your Role: Founding AI Researcher (ML) As a founding member of our technical team, you'll be at the heart of developing and deploying AI models that transform chip design. You'll tackle challenges like code generation, verification, architectural exploration, and multimodal reasoning-building multi-agent systems that can design, optimize, and verify real silicon. This is a hands-on, 0→1 opportunity: you'll own the full ML lifecycle, from data pipelines and model training to deployment and iteration, collaborating closely with hardware and product experts.You'll experiment at the bleeding edge of LLMs, reinforcement learning, and graph-based methods for EDA, defining how AI will shape the future of hardware What We're Looking For Academic Background: PhD in Computer Science, EECS, Mathematics, or a related field (or BS/MS with strong research engineering experience at leading labs or startups). AI/ML Expertise: Deep experience building end-to-end ML pipelines, including data curation, model training, and post-training using RL. Proven ability to take models from research to real-world deployment. Technical Skills: Hands-on with LLM/VLM deployment (vLLM, sg Lang, LM Studio, Ollama, etc.) and distributed training (QLoRA, ZeRO, CUDA, PyTorch Parallelism). Experience with RL post-training workflows, reward modeling, and environment design. Track record in code generation, reasoning, and tool use-especially in structured domains. Builder Mindset: Fast-moving, able to prototype, benchmark, and productionize ML pipelines with tight feedback loops. Passion: Excited to push the state-of-the-art in AI for real-world engineering challenges. Bonus Points: Experience at leading AI labs (OpenAI, DeepMind, Anthropic, etc.). Publications in top ML or EDA conferences. Background in hardware design or verification (not required). Why Join Us? Impact: Shape the future of AI-driven chip design from the ground up. Ownership: Significant autonomy and a meaningful equity stake. Growth: Work with a world-class team on cutting-edge challenges. Culture: Fast-paced, collaborative, and mission-driven environment. Ready to help define how AI will design the hardware of tomorrow? Apply now and join us at the frontier of AI and hardware innovation!

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

AI/ML Scientist - Build the Future of Physics AI- $250,000 to $275,000 Salary You will be part researcher, part builder, part pioneer, someone who thrives at the intersection of machine learning and physics based simulation. The platform is built on massively scalable, cloud native simulation technology that makes it possible to run thousands of high fidelity simulations quickly and easily. This foundation unlocks something big, enabling the generation of large scale datasets that power the next generation of ML models across industries. You will be on the front lines of building and productizing new machine learning approaches for physics based problems, from CFD to thermal simulation. Your work will not just live in a paper, it will deliver measurable value to customers, shape new product capabilities, and push the boundaries of what is possible in Physics AI. You know that rush when your work goes from experiment to production, when the models perform, the results hold up, and you can see the impact firsthand? That is what this role is about. Ready to shape the future of Physics AI? Let's talk. No up to date resume required.

⚡ 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 ************************

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).

Scientist, In Vivo Pharmacology - Permanent - Palo Alto, CA Where curiosity meets purpose-join us in shaping the future of science. Primary Responsibilities: Proclinical is seeking a highly motivated, dynamic Scientist to support in vivo research on our cutting-edge pipeline and discovery programs. You will be involved in the preparation and execution of murine animal experiments and the collation of data. The Scientist of In Vivo Pharmacology will: Preparation for and execution of translational experiments such as in vivo pharmacology and disease model experiments, including experiments in knockout and transgenic mice Animal handling during murine experiments, and handling of murine tissues resulting from animal experiments Management of relationships with third-party vendors on mouse breeding and shipping Identification, ordering, organization, storage, and proper disposal of laboratory reagents required for studies In collaboration with the Laboratory Biology team, aid in maintaining laboratory space and inventory Recording and filing data, preparing technical reports, and study summaries Report progress of projects in a timely and concise manner to supervisor May independently lead the development and implementation of new assays to support research projects; may independently execute experiments and perform data analyses of moderate complexity; may have responsibility for specific method or study. Occasionally provides assistance to and/or mentoring other technical staff, new research staff or interns Manages personal experimental timelines to meet project and personal goals Presents findings at the scientist, department, and site-level. Function as part of a collaborative team to support research needs Contribute to the optimal functioning of the research team, including implementation of new tools and technologies. Skills & Requirements: S. and 7+ years of laboratory experience (academic and/or industry) or M.S. with 5+ years of laboratory experience (academic and/or industry) Degree must be in a life sciences discipline, preferably cellular and/or molecular biology, biochemistry, and/or microbiology/immunology 3+ years of hands-on experience with in vivo murine research required, with mouse pharmacology and inflammation disease model experiments highly desired Experience in experimental techniques such as handling of animal tissue, cell culture, qRT-PCR, flow cytometry, and ELISAs/MSDs is required Experience in immunology research, including research with primary immune cells, would be valuable Must be highly organized, punctual, and precise both in regards to performing laboratory experiments as well as maintenance of the laboratory space. Ability to work independently and occasionally during non-traditional work hours as may be required by some experiments and will need to be comfortable in a laboratory and animal facility setting. Possesses effective problem-solving, organizational, and communication skills Experience with Microsoft software suite (Word, Excel, PowerPoint), and other commonly used computer applications (Zoom, MS Teams, Box, etc.) Clear and effective communicator across verbal, written, and interpersonal settings If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page. Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy. By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy

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

Senior Decision Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor' and a ‘Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Position Overview: Fractal is looking for a proactive and driven Senior Decision Scientist to join our Decision Science Consulting team in the San Francisco, CA area. In this role, you will help power measurable outcomes for leading technology organizations, leveraging cutting edge GenAI, Data Science, Engineering and Behavioral Science capabilities This is a perfect opportunity for someone, who is looking to combine best-in-class data science and analytics skills, strong problem-solving, effective communication and thought leadership to help our clients solve their most strategic business problems Responsibilities: Drive business decision making by deeply analyzing clickstream and other structured data, building machine learning/ statistical models to uncover actionable insights, and developing presentations to communicate the findings and recommendations Manage project roadmap by discussing potential analytics ideas, prioritizing based on estimated benefit vs. effort, documenting and planning for risks and blockers and periodically sharing status updates Contribute to the analytical foundations by documenting data and business understanding, sharing knowledge with broader team and coming up with new opportunities such as automating repetitive tasks, researching and applying new approaches/ techniques and bringing in ideas from other disciplines such as consumer psychology, brand, economics, competitive analysis, etc. Qualifications: Bachelors or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional business degree is a plus 8+ years of data science/ analytics experience with demonstrable hands-on expertise 3+ years of leading complex projects working with (or supervising) analysts, data scientists, AI engineers, designers, etc. Familiarity or natural interest towards management activities (project management, product management, team management) is strongly preferred Excellent communication and presentation skills are a must Strong proficiency with data manipulation is required (SQL + Python) Strong familiarity with ML development and testing in Python is required Must display strong learning agility to know the latest and greatest techniques across Statistics, ML and GenAI (Preferred) Demonstrated experience working with digital marketing functions e.g. purchase funnel optimization, digital product enhancement, email/ push marketing, etc. Hands-on experience in one, or more of the following is strongly preferred: regression, classification, clustering, time series forecasting, NLP Familairity with Adobe Analytics and Snowflake is a plus Salary Range: $130,000 - $155,000 (bonus and benefit eligible) Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Pay Rate Range: $50.00/hr. - $55.24/hr. Target Pay Rate: $55.24/hr. Duration: 3 Months Onsite Shift (if applicable): M-F 8:00 AM - 5:00 PM JOB DESCRIPTION SUMMARY/JOB PURPOSE: The Scientist II will be joining the Biotherapeutics Translational Pharmacology team to support our research programs. This position is primarily responsible for developing, optimizing and reporting out data for Bioanalytical assays for Antibody Drug Conjugates (ADC) to include ELISA, LC-MS and hybrid LC-MS techniques. This job will require the candidate to have excellent organization, communication, and teamwork skills, as well as flexibility and versatility, to meet tight deadlines in a dynamic, fast-moving environment. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Responsible for running analytical samples from nonclinical PK studies using ELISA, LC-MS and hybrid LC-MS techniques * Operation and troubleshooting of automated instrumentation * Collaborates with Biotherapeutics team members to support project advancement. * Maintains electronic laboratory notebook in a complete, consistent, and timely manner in accordance with company intellectual property policies and practices. * Prepares and organizes data for presentation. May present data and status reports at individual, group, and departmental research meetings under general supervision. * Adherence to excellent health and safety practices and compliance with applicable EH&S safety rules and participates in mandatory safety training programs. * Other responsibilities as assigned SUPERVISORY RESPONSIBILITIES: * No supervisory responsibilities EDUCATION/EXPERIENCE/KNOWLEDGE & SKILLS: Education: * Bachelor's degree in related discipline and a minimum of four years of related experience; or * Master's degree in related discipline and a minimum of two years of related experience; or, * Equivalent combination of education and experience. Experience: * Drug discovery experience is necessary with hands-on bioanalytical assay development with an excellent understanding of fundamental processes. * Experience with ELISA, LC-MS and Hybrid LC-MS is required * Experience using WinNonlin and PRISM applications are preferred. Knowledge/Skills: * Highly self-motivated with exceptional attention to detail is required. * Thorough knowledge of activities related to bioanalytical assay development and data generation * Excellent verbal and written communication skills with the ability to follow written instructions and SOPs. * Ability to multi-task and excellent time management skills. * Excellent work ethic, working effectively in both a team environment and independently. * Thorough proficiency in MS Word, MS PowerPoint and MS Excel is required. WORKING CONDITIONS: * Primarily working in laboratory and office environment. * Potential handling of hazardous materials, and brief periods of working in both 4°C and -20°C environments. * May be required to work weekends as needed. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: The Sensory & Consumer Researcher I is responsible for designing product research to answer business questions. They will consult with R&D and Marketing team members to understand research needs, manage project execution, conduct statistical analysis, generate reports, and share findings with business partners. In this role, you will: Sensory & Consumer consulting and data analysis (45%): Consults with R&D scientists and Insights researchers to understand research needs and explain findings for routine projects. Conducts data analysis, interprets results, and creates reports including business implications and recommended next steps. Documents research methodologies to archive for future use. Develops protocols for new sensory/consumer product testing methods, with support. Jointly supports Sensory and Consumer research. Project management (25%) Independently intakes requests, designs research, interfaces with R&D and Insights for routine projects. Study execution (15%) Independently uses specialized data collection software to design research, develop questionnaires, and collect product research data for routine projects. Controls research costs by exploring and executing cost savings initiatives while improving/maintaining the quality of research. Supervises CLC lab staff to conduct quality controlled research. Trained Sensory panel & Consumer database support (15%) Leads routine sensory panels, tracks sensory panelist performance and provides panelist feedback Supports consumer database growth, including social media presence Ensures a positive and safe testing experience for trained panelists, consumers and staff. (ongoing) #LI- Onsite What we look for: Ability to design experiments to answer research questions Statistical understanding and ability to interpret results in a business context Ability to conduct sensory statistical analyses and create visualizations of key findings Able to quickly pivot between businesses Detail oriented Written/Verbal Communication Consumer Empathy Organization and Planning skills Ability to deal with ambiguity and be highly flexible Agile problem solving skills Interpersonal skills, work collaboratively with GI Researchers, R&D, Consumers, trained panelists, and consumers. Degree in Food Science or other relevant sensory coursework Workplace type: GL24 role open now that team member moved to GL25 opening. The role is being renamed and there minor updates to the job description. Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive. Learn more. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $72,400 - $132,500 -Zone B: $66,400 - $121,500 -Zone C: $60,300 - $110,400 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Business UnitWhat the Role Entails1.Conduct research and development of Omni multimodal large models, including the design and construction of training data, foundational model algorithm design, optimization related to pre-training/SFT/RL, model capability evaluation, and exploration of downstream application scenarios. 2.Scientifically analyze challenges in R&D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance. 3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models. Who We Look For 1.Bachelor's degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized. 2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred. 3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred. 4.Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus. 5.Participation in ACM or NOI competitions is highly valued. 6.Strong learning agility, communication skills, teamwork, and curiosity. Location State(s) US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $163,800.00 to $307,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.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.

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

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

Think Different. Build the Future. 🚀Our Mission Build everyday AGI. Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software shouldn't wait for commands; it should partner with you, amplifying what you can do every single day. Why AGI, Inc. We're a stealth team of elite ex-founders, Stanford and Berkeley AI researchers, and DeepMind alumni. With years of agent research, our platform runs live agent workflows with 99.9% reliability. We are supported by tier-1 investors who funded the first wave of AI giants; now they're backing us to deliver the next, everyday AGI . If you see possibility where others see limits, read on. About the Role You'll be at the forefront of developing novel algorithms and techniques for our action-taking intelligent agents. You'll bridge the gap between theoretical AI research and practical product applications, working on challenges that push the boundaries of what current agents can accomplish. Your research will directly influence our product roadmap and contribute to the scientific community through publications and open-source contributions. This role offers a unique opportunity to work in an environment that values both academic rigor and real-world impact. Key Responsibilities Pioneer Novel Research: Lead research initiatives in areas such as reinforcement learning, multi-agent systems, and natural language understanding to enhance our browser agents' capabilities. Translate AI Research to Products: Work closely with engineering and product teams to implement research findings into products that deliver tangible value to users. Contribute to the Scientific Community: Publish high-quality research papers at top AI conferences (NeurIPS, ICML, ICLR, ACL) and participate in the open-source AI ecosystem. Develop Technical Roadmaps: Help define our technical research strategy, identifying promising areas that align with our product vision. Mentor and Collaborate: Work with and mentor other researchers and engineers, fostering a culture of scientific excellence and innovation. You Bring MS or PhD in Computer Science, Machine Learning, AI, or a related technical field from a top university. Exceptional candidates with bachelor's degrees and equivalent research experience will also be considered. Research experience in AI, reinforcement learning, and multimodal systems, evidenced by publications, open-source contributions, or impactful projects. Strong programming skills and experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with large language models, web technologies, and browser automation. Exceptional zero-to-one analytical thinking and creativity in approaching complex AI problems with novel solutions. Ability to communicate complex technical concepts clearly and collaborate effectively with cross-functional teams. Passion for fast-paced environments, comfort with ambiguity, and a desire to build products that millions of people will use. Why Join Us? Dual Impact: Contribute to cutting-edge AI research while seeing your work directly impact products used by real people. Resources: Access to substantial compute resources, large datasets, and the latest AI technologies to support your research. Autonomy: Freedom to pursue research directions aligned with our mission, with less bureaucracy than traditional research labs. Equity: Competitive compensation package with significant equity, aligning your success with the company's growth. Community: Work alongside world-class researchers, engineers, and designers who are passionate about advancing the field of AI. Our Culture 🏢 All in, in person. Work moves faster face-to-face. 🚀 Ship by default. Novel and polished can coexist, speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win. Our perks 🏥 Fully covered medical, dental, and vision insurance for employees. ✈️ Relocation and immigration support. How to Apply Send us: A link-or 60-sec video-of something you built and why it matters. Your resume or LinkedIn. Two sentences on the hardest problem you've cracked. Every exceptional candidate hears back within 48 hours. We can't wait to see what you've got and to welcome you to the AGI Inc. team!

About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. What Your Job Will Be Like We are seeking a highly motivated and driven postdoctoral appointee to join a multidisciplinary team focused on a multiscale effort to predict metallic microstructure evolution and mechanical failures in extreme environments. Ideal candidates will be creative problem solvers with a solid foundation in uncertainty quantification, AI/ML, and materials modeling, along with experience in scientific computing, as demonstrated by relevant publications and code contributions. On any given day, you may be called on to: conduct research to develop effective supervised and unsupervised learning algorithms to facilitate large-scale computational studies of phase field and polycrystalline structure evolution. The selected candidate will work closely with Sandia Principal Investigators and will also collaborate with scientists from other national laboratories and universities involved in the project. Due to the nature of the work, the selected candidate must be able to work onsite. Qualifications We Require * PhD in a field of physical sciences, applied mathematics, engineering, or other relevant field conferred within five years prior to employment. * Knowledge and expertise in machine learning and/or uncertainty quantification. * Knowledge and expertise in computational science and/or software development. Qualifications We Desire * Proficiency in using open-source machine learning libraries such as PyTorch or JAX for developing, training, and deploying advanced machine learning models tailored to complex scientific problems. * Expertise in operator learning and generative models with a focus on their applications in the physical sciences. * Experience with reduced order modeling and latent space representations. * Strong programming skills in C++ and Python and integration of machine learning solutions into existing scientific workflows. * Collaborative research experience. * Excellent interpersonal and communication skills. About Our Team The Quantitative Modeling and Analysis Department conducts research, development, and systems engineering in computer science and engineering to address important, complex national security problems. Key research areas include uncertainty quantification, optimization, inference modeling, data analysis, and algorithm development. Much of our application development work focuses on verification, validation and uncertainty quantification of complex problems. We provide trusted design and software development for large, operations software as well as detailed scientific computing software. The work is focused on providing efficient, validated information and technologies for use in predictive modeling and decision making. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Apply for Job * Careers * Sign In * New User

The San Francisco Police Department was established in 1849 and continually strives to become a more effective, inclusive and modern police department, while earning the trust and pride of those we serve and those who serve. Our goal is to reflect on current SFPD initiatives, assess best practices across the country, and evaluate the changing environment in policing and within the City to arrive at a strategy statement that the Department and our community can embody every day. The San Francisco Police Department stands for Safety and Respect for All. We will engage in just transparent unbiased and responsive policing. We will do so in the spirit of dignity and in collaboration with the community. And we will maintain and build trust and respect as the guardians of Constitutional and human rights. The San Francisco Police Department is committed to excellence in law enforcement and is dedicated to the people, traditions and diversity of our City. The department provides service with understanding, response with compassion, performance with integrity and law enforcement with vision. The department has grown into a nationally known police department providing law enforcement services to one of the most recognized cities in the United States. Specific information regarding this recruitment process are listed below: Application Opening: November 14, 2025 Application Deadline: Apply immediately, announcement may close any time after 2 weeks from posting date. Class & Compensation: $173,238 - $210,574 Work Location: 1995 Evans Ave, San Francisco, CA Appointment Type: Permanent Exempt: This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer. The duration of the appointment shall not exceed 36 months. Job Description Under the general direction of the Criminalistics Laboratory Manager, the Criminalist III supervises the day-to-day activities of the Forensic Biology (DNA) Unit of the San Francisco Police Department Criminalistics Laboratory. The San Francisco Police Department Criminalistics Laboratory is divided into three areas: General Criminalistics (chemical analysis; including forensic breath alcohol program), Firearms / Impression Evidence and Trace Evidence, and Forensic Biology (DNA). Essential Duties: Reviews requests for laboratory services as to the merit, urgency, and scope of the request. Develops, updates and implements written procedures to ensure compliance with ASCLD/LAB accreditation and federally mandated DNA Quality Assurance Standards for Forensic Testing Laboratories. Provides technical assistance to staff in the examination and evaluation of physical evidence. Coaches, reviews, and corrects the work of subordinate staff; measures the performance of subordinate staff and recommend disciplinary action when appropriate. Conducts administrative and technical reviews of case files and reports. Oversees safety programs. Ensures current test methodologies satisfy court requirements for validity and admissibility as evidence Administering proficiency testing (internal and external), reviewing results and recommending remedial action as necessary. Prepares written budget requests; manages state and/or federal grant programs. Prepares the DNA Unit for yearly audits. Performs the more complex identification, analyses and interpretation of physical evidence, including biological material such as blood, semen, and saliva. Presents court testimony as an expert witness concerning conclusions drawn from laboratory examinations and analyses. Related duties as assigned. Qualifications 1. Education: Possession of a baccalaureate degree from an accredited four-year college or university with major course work in criminalistics, chemistry, biochemistry, molecular biology, or a closely related field; AND 2. Experience: Four (4) years of full-time professional casework experience working in a forensic DNA laboratory performing duties of a criminalist (equivalent to the City's 8260 Criminalist II classification). AND 3. License: Possession of a valid driver's license. Note: Course work must include the subject areas of forensic science, biochemistry, genetics, molecular biology, or other subjects that provide a basic understanding of the foundation of forensic DNA analysis. Course work must include 9 (nine) cumulative semester hours or equivalent that cover the required subject areas. Substitution: Possession of a postgraduate degree in criminalistics, chemistry, biochemistry, molecular biology, or a closely related field successful completion of coursework may be substituted for up to one (1) year of the required laboratory experience. Desirable Qualification: Experience with computer database management related to forensic DNA analysis. Verification of Education and Experience: Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications. Applicants will be required to submit verification of qualifying education and experience during the recruitment and selection process. Note: Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. All work experience, education, training and other information substantiating how you meet the minimum qualifications must be included on your application by the filing deadline. Information submitted after the filing deadline will not be considered in determining whether you meet the minimum qualifications. Applications completed improperly may be cause for ineligibility, disqualification or may lead to lower scores. Background Investigation: Prior to employment with the San Francisco Police Department, a thorough background investigation will be conducted to determine the candidate's suitability for employment. The investigation may include, but not be limited to: criminal history records, driving records, drug/alcohol screening, and other related employment and personal history records. Reasons for rejection may include use of controlled substances and alcohol, felony conviction, repeated or serious violations of the law, inability to work with co-workers, inability to accept supervision, inability to follow rules and regulations or other relevant factors. Candidates may be required to undergo drug/alcohol screening and must clear Department of Justice and Federal Bureau of Investigation fingerprinting. Criminal records will be carefully reviewed; candidates who do not report their complete criminal records on their applications will be disqualified. Applicants will be fingerprinted. Additional Information Recruiter Information: If you have any questions regarding this recruitment or application process, please contact the recruitment analyst, Danny Wan at *******************. Additional Information Regarding Employment with the City and County of San Francisco: Information About The Hiring Process Conviction History Employee Benefits Overview Equal Employment Opportunity Disaster Service Worker ADA Accommodation Right to Work Copies of Application Documents Diversity Statement SFPD Recruitment: **************************************************** The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

How you will make 10x impact: General description: A machine learning/artificial intelligence specialist with experience in LLM and reinforcement learning post training. * Collaborating with the X Project team to design and develop machine learning approaches/algorithms to support the project's mission * Understanding the project's goals and challenges and conduct relevant literature surveys * Suggesting agentic RL solutions in which machines/approaches/algorithms/models can apply to those challenges * Prototype/train/evaluate RL algorithms, tools and components of large scale AI systems * Engaging with the resident community during the program, engaging with the X community, attending colloquia and tech talks. This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world * Location: X's headquarters in Mountain View, CA * Start Date(s): ~January 2026 * Duration: a flexible full-time 4 mo. to 1 year program based on project team needs and your availability Throughout your AI Residency you can expect: * To be embedded into one of our confidential or public X projects * To get paid competitively and receive benefits * To be a part of a lively community of AI and ML Residents * To attend tech-talks with AI leaders from across X What you should have: * Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning. * Strong experience with one or more general purpose programming languages such as Python, C/C++. * Experience with reinforcement learning (RL) and large language models (LLMs). * Ability to set up RL infrastructure and synthetic data generation pipelines. * Familiarity with operations research (OR) problems and their formalization. * Knowledge of basic ontologies and programmatically constructing knowledge graphs (KG) from structured and unstructured data. It'd be great if you also had these: * Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, COLM, ACL/EMNLP, ICASSP). * Experience with GRPO/DAPO based online reinforcement learning with LLMs(7B+) on multi-GPU settings. * Ability to produce code (e.g., in Google OR-Tools) and define rewards for formalized optimization problems. * Experience translating natural language into formal graph query languages (Cypher, SPARQL). * Experience using frontier LLMs (e.g., Gemini-Pro) to generate large-scale, high-quality synthetic datasets with automated verification steps. Additional public information: ****************************************************************************************** ******************************************************************************************************** The US base salary range for this position is $109,000 - $150,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.