Postdoctoral scholar jobs in Livermore, CA

🌍 Senior LLM Research Scientist | Advanced AI Systems | San Francisco (Onsite) Join a team building AI with real physical capability-systems that can experiment, engineer, and manufacture in the real world. Backed by deep technical foundations and large-scale programs, they're pushing the frontier of advanced intelligence. The work is hands-on and first-principles, with full ownership of end-to-end systems and the chance to create capabilities that don't yet exist. Why join • Lead research in planning, reasoning, and tool use for autonomous engineering systems • Shape prompting frameworks, structured tool calling, model alignment, and preference optimization • Work on verifier-guided RL, long-horizon behavior, and MoE routing in a fast-moving research environment • Collaborate closely with systems, data, simulation, and tooling teams operating real engineering workflows • Competitive compensation up to $300k base, plus meaningful equity What they value • Strong background in LLM research, agent systems, or structured tool-use models • Experience with SFT, RLHF, DPO, or verifier-driven RL • Expertise in long-horizon reasoning, decomposition, and structured policy design • Comfort working across ML research, engineering systems, and real-world toolchains 📍 Location: Onsite, San Francisco

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

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

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

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

About the team The World Model team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS). Requirements Education/Experience Master's or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines. Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains. Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks. Awareness of global industry and academic trends in intelligent mobility and robotics. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities. Excellent writing and communication skills in English; bilingual in Chinese is a plus. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Self-motivated, intellectually curious, and oriented toward high-impact results. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

⚡ 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 ************************

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.

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

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

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.

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 **********************.

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Reporting directly to the Director of the Digital Experience Marketing and Integrated GTM Strategy, this role will drive high-impact marketing initiatives that leverage agentic capabilities to align Adobe's enterprise go-to-market (GTM) strategy with customer needs, sales plays, and product innovation. The ideal candidate will bring a strong mix of strategic thinking, cross-functional leadership, and operational rigor to drive measurable business outcomes across the funnel. What You'll Do You'll work cross-functionally to drive strategic initiatives that span AI-assisted Marketing Capabilities, Integrated GTM Strategy & Alignment, and Translating Account, Persona & Content Strategy into Actionable Insights, Vision-setting and Storytelling. This is a high-visibility role with exposure to senior leadership and opportunities to shape how Adobe delivers experiences to enterprise customers. Key contributions: * Develop AI-Driven Marketing Capabilities: Collaborate on initiatives to develop agentic capabilities for Business Development Reps and Marketers; scoping use cases and translating data into actionable insights and next-best-action recommendations. Support Proof-of-Concept testing to improve agentic capabilities and recommendations. * Foster Integrated GTM Strategy & Alignment: Support the development of strategies to deliver unified customers experiences by synthesizing data from multiple sources (CRM, web, campaign, sales). Partner with Product Marketing, Sales Strategy, and Analytics to shape our unified approach to customers and ensure alignment with sales plays, product priorities, and customer personas. * Translate Account, Persona, & Content Strategy and Actionable Insights: Contribute to the creation and evolution of marketing scorecards and dashboards (e.g., Power BI, CJA B2B), helping teams translate data into actionable insights to inform GTM prioritization. Assist in building and maintaining dashboards, heatmaps, and prioritization tools to support targeted engagement strategies. * Cross-Functional Leadership: Lead cross-functional workstreams with stakeholders across Enterprise Marketing, PMM, Sales, Content Strategy, ACS, and DX Products to drive alignment and execution. Experience We're seeking a highly analytical and strategic thinker to join our Integrated GTM Strategy & PMO team. This role is ideal for someone with a strong foundation in marketing, data analytics, decision sciences, or strategy consulting, and a passion for driving business impact through customer-centric, data-informed marketing strategies. * Currently enrolled in a full-time MBA program graduating between December 2025 - June 2026 * Exceptional analytical and quantitative problem solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations * Exceptional written and verbal communication skills with the ability to influence both peers and leaders * Experience in B2B marketing, GTM strategy, or marketing operations preferred * Proven ability to lead cross-functional initiatives and influence senior stakeholders. * Familiarity with AI-powered marketing tools, CRM systems (e.g., Salesforce), and campaign orchestration platforms preferred * Excellent communication and storytelling skills, with a track record of translating complex data into compelling narratives. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $87,300 -- $167,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $115,500 - $167,250 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice Dec 31 2025 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. About the Role As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include: Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure. Design evaluations to reliably measure risks and alignment with human intent and values. Build tools and evaluations to study and test model robustness in different situations. Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries. Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models. Train model to be calibrated on correctness and risk. Designing novel approaches for using AI in alignment research You might thrive in this role if you: Are a team player - willing to do a variety of tasks that move the team forward. Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields. Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch). Have a deep understanding of the science behind alignment algorithms and techniques. Can develop data visualization or data collection interfaces (e.g., TypeScript, Python). Enjoy fast-paced, collaborative, and cutting-edge research environments. Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

+ We are seeking an experienced CX Insights Researcher with a strong background in consumer research across retail-both in-store and online-to support the Go-to-Market Insights function within the Platforms & Devices Strategy & Operations team. This role partners closely with Global Brand, Marketing, Creative, Channel, and Regional Insights teams to deliver audience, cultural, and brand insights that shape how we market our global hardware products. + The ideal candidate is a seasoned insights professional with deep qualitative and quantitative research expertise, capable of leading end-to-end studies, mapping customer journeys, and running structured A/B tests to inform creative, messaging, and go-to-market decisions. You will design and synthesize research-across qual, quant, and secondary methods-to guide campaigns and drive actionable recommendations. + You will also contribute to evolving our research practice by exploring AI-enabled tools to enhance insight generation and workflows. This highly cross-functional role spans Marketing, Sales, Measurement & Analytics, and regional teams across EMEA and APAC, requiring strong storytelling skills and the ability to translate complex data into clear, strategic insights. **Responsibilities:** + Lead full-cycle consumer insights projects across qualitative, quantitative, and secondary research. + Run in-store and online customer journey studies to identify friction points and growth opportunities. + Design and execute qualitative research, including focus groups, IDIs, and concept testing. + Build, program, and field quantitative surveys; analyze results and collaborate with external research vendors. + Conduct structured A/B tests to evaluate creative, messaging, and go-to-market concepts. + Synthesize insights from multiple sources-primary research, market data, cultural trends, and tracking studies-into clear, actionable narratives. + Develop story-driven insight decks and present recommendations to senior leaders and cross-functional stakeholders. + Run insights workshops to help teams internalize audience learnings and apply them to brand, creative, and marketing strategies. + Translate ambiguous business questions into testable hypotheses and structured research plans. + Collaborate with Measurement & Analytics teams to align primary research with brand tracking and measurement frameworks. + Partner with EMEA and APAC regional insights teams to ensure global consistency and cross-market learning. + Explore and integrate AI tools to enhance research design, synthesis, and storytelling workflows. + Manage research vendors, budgets, timelines, and overall project operations. + Influence cross-functional partners to drive insights-led decision making across campaigns and go-to-market planning. **Experience:** + 8+ years of experience in primary marketing research and/or consumer insights roles. + Experience programming surveys in Qualtrics, Decipher, Suzy, Prodege, or similar platforms + Experience driving marketing impact by partnering with senior stakeholders and shaping go-to-market plans, campaign launch strategies, and creative briefs. + Experience running and facilitating insights workshops for marketing and cross-functional stakeholders. + Strong ability to distill ambiguous business questions into clear research hypotheses and execution plans. + Proven ability to synthesize complex data and research into simple, actionable insights. + Experience managing external research agencies and research operations. + Experience working within complex stakeholder environments and influencing across levels. + Hands-on experience designing, fielding, analyzing, and reporting both quantitative and qualitative studies. + Strong storytelling and deck-building skills to communicate insights to executives and non-research audiences. **Skills:** + Consumer Insights & Research + Marketing & Brand Strategy + Data Synthesis & Storytelling + Stakeholder Management **Education:** + Bachelor degree or equivalent exp **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.

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 postdoctoral researcher to work on emerging device concepts for analog electronics, sensors and computing including harsh environment applications. The work will focus on device characterization using a variety of unique tools, as well as basic fabrication and circuit design. The candidate should be self-motivated, able to work independently, and contribute creatively to team efforts. The candidate will be expected to present results at national/international meetings and publish research in high profile peer-reviewed journals. On any given day, you may be called on to: * Fabricate test chips with emerging devices prototypes using established recipes and semiconductor fabrication equipment. * Conduct experiments using state-of-the-art characterization instrumentation. * Analyze device performance using established and custom modeling tools * Design and layout a custom printed circuit board. * Perform experiments at unique test facilities. * Present research progress at group meetings, peer review events, and technical conferences. * Write and publish manuscripts in scientific journals Due to the nature of the work, the selected applicant must be able to work onsite. Qualifications We Require * PhD degree in electrical engineering, physics, or a closely related field * Hands-on experience with electronic device fabrication and characterization * A record of publications in peer-reviewed journals and presentations at scientific conferences and demonstrated ability to communicate in English to an international scientific audience is essential * Highest degree received not more than five years prior to the date of application and all degree requirements completed before starting the appointment * Ability to obtain and maintain a DOE Q-level security clearance Qualifications We Desire * Experience with analog circuit design * Experience with high temperature and/or radiation effects in electronics About Our Team The Materials Physics department performs fundamental research on the structure and properties of materials to support programs in energy research, device physics, materials reliability, and national security. Specific activities include experimental and modeling studies of surface electronic structure and surface atomic structure and dynamics of metals, oxides, low dimensional semiconductors, and adsorbates; atomic-scale structure and composition analysis of metals, semiconductors, and composites; electrical and optical properties of low-dimensional semiconductors and optoelectronic devices; and the structural and electrochemical characterization of solid-state ionic materials. The Department supports internal and external sponsors and government agencies that seek solutions to problems of fundamental scientific inquiry, energy sustainability, and national security. 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 [email protected]. 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): Early 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.