User experience researcher jobs in Richmond, CA - 400 jobs

A leading technology company in Mountain View is seeking a Quantitative User Experience Researcher to create user-centric products through empirical research. You will design studies, analyze complex data, and collaborate with diverse teams to inform product strategies. The ideal candidate will have a Bachelor's degree and extensive experience in a technical research setting, particularly with human-computer interaction and ergonomic studies. This full-time role offers a competitive salary range of $178,000-$265,000 plus bonuses and benefits. #J-18808-Ljbffr

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. UX Designer III Position Responsibilities Work closely with product owners, software developers, programmers and other designers to create innovative design solutions for software that impact millions of users. Perform end to end design of large-scale projects that focus on a user-centered design approach. Assess and analyze current site and software data and user behavior. Conceive and create designs that address both the primary user as well as business goals. Refine, maintain and enforce current design guidelines and strategies. Adeptly handle changing priorities throughout a product life cycle. Present design solutions to a wide variety of teams and departments. 40 hours / week, 8:00am-5:00pm, Salary Range $186,763/year to $211,600/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit ******************************************************* Basic Qualifications Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Graphic Design, Industrial Design, Digital Communications Design, Visual Arts, Mass Communications, Art, or a related field and one year of experience in the job offered, or as a User Experience Designer, Information Architect, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Graphic Design, Industrial Design, Digital Communications Design, Visual Arts, Mass Communications, Art, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) creating software design solutions and scalable dynamic user interfaces for large-scale, multi-tiered platforms using web design principles and technologies, including Wireframe Applications, Photoshop, Axure, HTML or prototyping tools; (2) collaborating with developers for implementation of designs; (3) using Illustrator, Photoshop, or Fireworks; and (4) rationalizing designs among cross-functional groups. Preferred Qualifications Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

Referral Bonus We are offering a $21k referral bonus for this role. You can refer people through our form, and it lists the terms of this bonus. We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks and mitigations, with a specific focus on threats related to autonomy, AI R&D automation, and alignment. We believe it is robustly good for civilization to have a clearer understanding of what dangers AI systems pose, and we are extremely excited to find ambitious, excellent people to join our team and tackle one of the most important challenges of our time. We evaluate candidates primarily through (paid) work tests. We usually do an in-person trial as well but can be flexible about this. Role Mission: Lead a team and own one of the key areas needed to understand the level of risk from future models Example research areas: How can we tell models aren't undermining our evaluations by sandbagging or alignment faking? How much cognition can models do without revealing it in their reasoning traces? How close are models to being able to sabotage research at AI companies or at METR? How reliable are safety claims made by AI developers based on new techniques, e.g. activation steering? What egregiously misaligned behaviors do models display? How good are monitors at picking up on this, or do they tend to collude with (or get exploited by) the agents? Build model organisms or red-teaming approaches to test the robustness of METR's or external evaluations and safety measures What the job involves Collaborate with other research streams to identify the questions that need to be answered for METR to be able to accurately assess catastrophic risk from models in the near and longer-term future. Lead research to answer these questions as cheaply and effectively as possible, trading off between being scrappy and careful in the right places. Significantly improve METR's risk reports based on the research your team has done. Publish 'fundamental' research that's similarly impactful to the time horizon methodology. Your team's work makes foundational progress, improves collective understanding of the relevant phenomena, and becomes the standard way to think and talk about it, for METR and our target audience (highly informed and engaged people but who may be skeptical of AI risk or of METR). Maintain METR's high-integrity culture - communicate research accurately and don't overhype - even critics or skeptics generally praise the work's quality. Build a strong team, identify talent needs and be an effective hiring manager, maintain high standards of performance on your team, grow and empower top performers. Lead team effectively, get people excited about and bought into goals, maintain motivation and momentum. Maintain high research velocity: we're generally learning meaningful new things every week or two (unless we're explicitly investing in a large high-payoff project we've derisked). The ideal candidate has experience leading high-performing research teams working with frontier ML systems, such as alignment, post-training, interpretability, or frontier evaluations. Other promising candidate profiles Experience as a research manager in an ML related area (or a technical non-ML field like quantitative trading while also keeping up with relevant ML / AI safety literature) Experience as a technical engineering manager, including with some experience with fast-moving/scrappy research workflows Track record of high-quality ML research, with clear evidence of multiple impactful research outputs (such as papers, blog-posts, etc.) where you are a key contributor. These works feature well-designed methodology or experiments, are well-written, and clearly and carefully communicated without overstating results. High quality output that's highly relevant to METR's work. You have public research, writing, code or some other artifact that demonstrates your careful thinking, deep understanding of and ability to make progress on METR's research directions. Evidence of outstanding achievement. You have some other impressive achievement that demonstrates you have the relevant skills or can learn very quickly, such as founding a successful startup, having widely-used open-source projects, or having made scientific contributions outside your area of expertise. These are not exhaustive and we'd be excited to hear about other evidence of outstanding achievements! Salary range: $250,000 - $450,000 a year (base) Benefits The office: Catered lunch and dinner daily; in-office gym and shower Relocation support: Stipend for moving to the Bay Area Time-off and leave: Unlimited PTO and 21-week parental leave for new parents Commuter benefit: Monthly transit/parking stipend and an annual Uber budget Professional development benefit: for training, courses, conferences, and AI safety education Mental health benefit: for therapy, medication, and other mental health expenses Wellness benefit: for gym memberships and other wellness expenses Work equipment benefit: for home office and workstation equipment expenses Our Culture METR is a mission-driven organization. We believe our work can meaningfully shape humanity's future for the better, and we want to be the best people in the world doing this work. We have a tight-knit, collaborative research culture rooted in truth-seeking and integrity. We're fiercely committed to producing high-quality, trustworthy science. We're honest and transparent about our results, especially when they may go against the grain. We've earned trust as reliable partners who handle confidential information with care. We maintain a low-ego, drama-free environment focused on what matters. Hybrid Requirements Our technical team members are in our office in Berkeley 3-5 days/week. Please let us know in your application if this is a constraint. If you lack US work authorization and would like to work in-person (strongly preferred), we can likely sponsor a cap-exempt H-1B visa for this role. We encourage you to apply even if your background may not seem like the perfect fit! We would rather review a larger pool of applications than risk missing out on a promising candidate for the position. We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions. #J-18808-Ljbffr

A leading AI research company in San Francisco is hiring for a position on their Audio team. The role involves developing and training advanced audio models, optimizing performance, and working collaboratively across teams. Ideal candidates will have strong expertise in JAX or PyTorch, a background in audio machine learning, and a passion for creating safe, reliable AI systems. The compensation ranges from $350,000 to $500,000, and the position offers flexible working hours and a supportive team environment. #J-18808-Ljbffr

Employment Type Full time Department AI Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. ResponsibilitiesResearch Leadership & Strategy Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives Lead strategic research planning and roadmap development to advance Sonar model capabilities Drive innovation in supervised and reinforcement learning techniques for query answering Collaborate with leadership to align research priorities with product and business objectives Team Development & Mentorship Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth Establish the long-term macro research direction across the team, including our direction across different modalities Lead hiring and onboarding of new research talent Create a collaborative environment that encourages knowledge sharing and innovation Technical Excellence Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training Deliver Sonar models that provide SOTA query answering performance Drive research into agent trajectories and multi-modal capabilities Lead the technical roadmap for eventual mid-training investments Cross-Functional Collaboration Work closely with engineering teams to integrate Sonar models into our product Partner with product teams to understand user needs and translate them into research priorities Collaborate with data teams to leverage our unique query/answer dataset effectively Communicate research progress and findings to stakeholders across the organization QualificationsRequired Minimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role Proven track record of leading and mentoring technical and research teams A Computer Science graduate degree at a premier academic intitution Deep expertise with large-scale LLMs and Deep Learning systems Strong programming skills with versatility across multiple languages and frameworks Demonstrated ability to set technical vision and drive execution Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) Self-starter with exceptional ownership mentality and ability to work in ambiguous environments Passion for solving challenging problems and pushing the boundaries of AI research Nice-to-have PhD in Machine Learning, Computer Science, or related areas Experience with agent-based AI systems and multi-modal model development Background in mid-training or pre-training of large language models Publications in top-tier AI/ML conferences Experience in fast-paced startup environments Track record of translating research into production systems Compensation & Benefits Our cash compensation range for this role is $370,000 - $460,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #J-18808-Ljbffr

A frontier AI startup in San Francisco is seeking an AI Research Lead to drive the development of diffusion models and 3D systems. The ideal candidate will have deep expertise in training these models, strong software engineering skills, and experience with frameworks like Unity or Unreal Engine. This role offers the unique opportunity to work at the cutting edge of AI technology with exceptional resources and a supportive work environment. #J-18808-Ljbffr

A leading securities firm in the United States is looking for a Senior Analyst to drive Equity Research in Cryptocurrency & Blockchain. This role involves establishing authoritative coverage, conducting rigorous research on digital assets, and becoming the go-to authority on crypto trends. The ideal candidate will have a bachelor's degree, deep expertise in cryptocurrency markets, and exceptional communication skills. This position offers competitive compensation and significant growth opportunities in a transforming market. #J-18808-Ljbffr

Machine Learning Research Lead, Security & Policy Research Lab Ready to Apply? Join the team shaping the future of AI at Scale. As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale has launched a new team, the Scale AI Security and Policy Research Lab, to bridge the gap between AI researchers and global policymakers to make informed, scientific decisions about AI risks and capabilities. Scale is seeking a highly experienced, thoughtful, and mission-driven research lead to drive this team's research priorities to tackle the hardest problems in agent robustness, AI control protocols, and AI risk evaluations. Our research team will act as a central hub for generating the data and insights necessary to inform benchmarking and evaluations for AI models and systems, with a focus on how to utilize this research to inform secure, responsible, and innovative AI governance globally. We collaborate broadly across industry, the public sector, and academia and regularly publish our findings. SPRL's research team is shaping the next generation of safety science for frontier AI models and works at the leading edge of frontier risk evaluations, agent robustness, and AI controls. Some of our current research includes: Designing and building harnesses to test AI models and systems (including agents) for dangerous capabilities such as hacking or exploiting security vulnerabilities; Conducting uplift research studies related to potentially dangerous chemical, biological, nuclear, or radiological (CBRN) AI-enabled uplift; Developing AI‑assisted evaluation pipelines, where models help critique, grade, and explain outputs related to frontier risk (e.g. RLAIF, model‑judging‑model); Collaborating with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation. You will: Lead a team of research scientists and engineers on foundational AI safety and security work in evaluation and robustness. Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi‑modal, and agentic behaviors. Design and advance scalable oversight methods, leveraging model‑assisted evaluation, rubric‑guided judgments, and recursive oversight. Collaborate with leading research labs across industry and academia. Publish research at top‑tier venues and contribute to open‑source benchmarking initiatives. Remain deeply engaged with the research community, both understanding trends and setting them. Ideally you'd have: Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight. Significant experience leading ML research in academia or industry. Strong written and verbal communication skills for cross‑functional collaboration. Experience building and mentoring teams of research scientists and engineers. Publications at major ML/AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or journals. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We do not ask LeetCode‑style questions. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the locations of San Francisco, New York, Seattle is: $239,400 - $299,250 USD PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal‑opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

AI has changed software development. Security hasn't caught up - until now. Corridor is changing the game of product security, giving developers the ability to secure their AI coding. Our team works at the intersection of AI and cybersecurity. Collectively, we've led security at some of the world's largest companies, driven cybersecurity policy efforts in the US government, and worked on open models in government and academia. We're hiring an AI Research Lead to own and drive Corridor's AI direction. This is a technical leadership role: you'll set our AI agenda, collaborate and build the team, publish work that advances the field, and ship tools and systems that power our core product. You'll help build out the best team in the world at the intersection between AI and cybersecurity. What You'll Do Lead Corridor's AI research efforts in code understanding, vulnerability detection, and agentic security systems Publish research that establishes Corridor as a leader at the intersection of AI and security Build and ship production AI systems - from development to deployment Define the technical roadmap for our AI capabilities Recruit and mentor a world-class AI research team Collaborate and initiate partnerships with top AI researchers and frontier labs Collaborate with AI advisors and partners. Some of our angels include Russell Kaplan (Cognition), Thomas Wolf (Hugging Face), Jonathan Frankle (Databricks), Mike Krieger (Anthropic). What We're Looking For Research track record: You've published research in ML/AI in fields relative to Corridor's work (NeurIPS, ICML, ICLR, security venues, or equivalent) Applied experience: You've shipped AI systems to production. You will be writing code! Relevant domain expertise: You have experience in code generation, program analysis, or cybersecurity Self-directed: You can identify high-impact problems and execute without heavy oversight Leadership: You're excited to build and lead a team and have experience doing so Nice to Have Experience with LLM-powered code generation or multi-agent systems Open source contributions or public technical writing Experience with RL environments, fine-tuning, or model evaluation pipelines About Us Co-founder and CEO Jack Cable is a top-ranked bug bounty hunter who previously led Secure by Design at CISA. Co-founder and CTO Ashwin Ramaswami built large-scale systems at Skiff, Caldera, and Nooks, and published research on AI and open foundation models at Stanford. CPO Alex Stamos is the former CISO of Facebook, Yahoo, and SentinelOne and a current lecturer at Stanford University. Check out some of our existing blog posts on AI: The State of Secure Coding Benchmarks: BaxBench The State of Secure Coding Benchmarks: SecCodeBench #J-18808-Ljbffr

Join a Team of Experts Our distributed workforce hails from Google, Apple, Microsoft, Mozilla, Time Warner Cable, Xerox PARC, the Free Software Foundation, Deluxe Financial Services, Uber, the IETF, and the World Wide Web Consortium, among other famed organizations - and beyond that, we work closely with some of the smartest brains in Web3, like the teams at Cosmos, Zcash, and MetaMask, just to name a few. Check out the Agoric Team page for more background. Get from Web2 to Web3 Whether you're a blockchain diehard or looking to make the transition to a truly decentralized internet, Agoric is a great place to not just learn about Web3 but to help make it happen. Many of our employees have transitioned from Web2 roles in back end, front end, biz dev, marketing, operations, and other essential parts of our work. Diversity Statement We think a workplace that is diverse - intellectually, culturally, experientially - is the most likely to succeed. We hire the best and pay accordingly. Matching 401(k) We double the first 3% of your salary deferral. About Agoric Agoric is launching a new product (Ymax) that leverages our cutting-edge orchestration technology to deliver an intelligent DeFi command center that lets users create and manage positions across multiple pools, protocols, and networks with a single signature. We're also diving deep into LLM-powered AI to surface the best optimizations for users to achieve great returns. Role Overview We're seeking an experienced Product Designer with expertise in Web3 and DeFi products to collaborate closely with our product, engineering, and marketing teams. You'll bring strong user-centered design practices to shape the first versions of Ymax, run independent usability testing, and iteratively refine seamless DeFi user experiences at Agoric. Key Responsibilities Collaborate with product, engineering, and marketing to design end-to-end user flows. Lead usability testing sessions and synthesize findings into actionable improvements. Translate complex DeFi opportunities into clear, approachable interactions for end-users. Design intuitive workflows for executing DeFi strategies involving multiple networks and protocols through a single signature, enabled by Agoric's orchestration technology. Partner with the team to create AI-driven user experiences that surface intelligent optimizations for users. Work independently to propose and validate design solutions. Requirements 5+ years of experience in UX design with 2+ years in crypto/Web3. DeFi-specific experience is a strong plus. Strong understanding of crypto wallet flows, smart contracts, and decentralized protocols. Experience independently planning and running usability testing. Excellent collaboration skills across product, engineering, and marketing teams. Available to work US-based hours (ET or PT) in a remote-first team environment. Agoric is committed to diversity in its workforce and is proud to be an equal opportunity employer. Agoric does not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. #J-18808-Ljbffr

A leading cryptocurrency solutions company based in San Francisco is seeking a Strategic Brand Designer. In this role, you'll design brand experiences across various platforms, ensuring cohesion and clarity. The ideal candidate will have over 4 years of experience in brand design, excellent skills in Figma and Adobe Creative Suite, and a portfolio demonstrating their design range. This position offers an annual salary range of $116,000 - $135,000, along with competitive benefits including healthcare and generous vacation policy. #J-18808-Ljbffr

A leading technology company in California is seeking a Quantitative User Research Expert to drive user research for customer support experiences. Candidates should have extensive experience in mixed-method research and data analysis, with strong survey design skills. The role involves collaboration with various teams to gather insights and improve digital support tools. An innovative mindset and proficiency in analytics tools are essential. #J-18808-Ljbffr

Google, Mountain View, CA, USA Required Qualifications Bachelor's degree or equivalent practical experience. 4 years of experience in product research in an applied research setting, or similar. Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Experience applying statistical methods (e.g., significance testing, regression, experimental design) to behavioral data. Experience with two or more of the following methodologicalenergie areas: causal inference frameworks (e.g., Campbellian, Rubin's Potential Outcomes, or Pearl's DO Calculus), observational methods (e.g., matching, weighting, or causal graphical models), or quasi-experimental methods (e.g., instrumental variables, diff-in-diff, regression discontinuity, or synthetic controls/interrupted time series). Preferred Qualifications Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. 3 years of experience working with executive leadership (e.g., Director level and above). Experience analyzing user behavior in B2B contexts, enterprise software, CRM platforms, or support tooling. Experience analyzing or measuring AI features, outputs or capabilities. Ability to influence,截至product decisions and strategy with data. About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Quantitative User Experience Researchers make this possible. Google User Experience (UX) is made up of multidisciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, needs, and شک behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google's businesses. As a Quantitative User Experience Researcher (Quant UXR), you'll help inform your team of UXers меры product managers, and engineers about userструкт needs. You'll play a critical role in creating useful, usable, and delightful products. You'll work with stakeholders across functions and levels and have impact at all stages of product development. You will investigate user behavior and user needs using empirical research methods such as logs analysis, survey research, path modeling, and regression analysis. Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields. You'll combine skills in behavioral research design, statistical methods, and general programming to improve user experience. The Quantitative UXR community at Google will help you do your best work. You'll have the opportunity to work with and learn from UXRs across Google through regular meetups, mentor programs, and access to internal research tools. _arr> Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel, and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $129,000‑$185,000 plus bonus plus equity plus 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 preferred location during the hiring process. Google is a global company and, in order to facilitatecić efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. Responsibilities Plan and execute quantitative studies to evaluate user behavior and improve the experience across Customer Engagement (CE) platforms. Apply advanced statistical methods to large‑scale log and survey data to identify user pain points and measure satisfaction. Design and interpret A/B experiments to measure the impact of product changes on key success metrics and user behavior. Partner with Program Managers, engineers, and other researchers to define metrics, ensure data instrumentation, and provide a holistic view of the user journey. Translate complex quantitative findings into clear, actionable recommendations for cross‑functional stakeholders at all levels. பேர்> #J-18808-Ljbffr

A leading tech company is seeking a skilled UX Designer to craft experiences for a global audience. The role requires 3+ years of UX design experience, proficiency in design tools like Figma and Adobe Creative Cloud, and a passion for movies and television. You will lead user-centered design initiatives, create impactful wireframes, and collaborate with cross-functional teams to enhance visual design consistency. This position offers opportunities for professional growth and competitive compensation. #J-18808-Ljbffr

A nonprofit research organization specializing in AI risks is seeking a Research Lead in Berkeley to manage and guide research efforts focusing on understanding AI model risks and developing impactful solutions. The ideal candidate has a strong background in leading research teams and can effectively collaborate to enhance METR's risk assessments. We offer a competitive salary and comprehensive benefits, as well as a culture centered on integrity and high-quality research. #J-18808-Ljbffr

AI Research Lead : Well-funded frontier AI startup Job Description Lead the development of state‑of‑the‑art diffusion models and world‑building systems for interactive 3D environments. You will architect large‑scale vision pipelines, optimize inference for real‑time simulation, and drive breakthroughs in generative media, shipping revolutionary creative tools to a massive, pre‑existing audience of creators and gamers. Location: San Francisco, USA Why this role is remarkable: Work at the cutting edge of world models and 3D generation with a team from top tier labs such as OpenAI and DeepMind. Benefit from immediate product validation through a massive existing distribution network and partner reach of 250 M+ fans. High‑velocity environment with exceptional resources, including free housing, food, and transportation for in‑person team members. What you will do: Lead the training and post‑training of state‑of‑the‑art diffusion models for high‑fidelity 3D environment synthesis. Architect distributed training pipelines and data‑efficient methods to maximize learning from user interaction and feedback loops. Optimize large‑scale generative vision systems for real‑time inference within complex, interactive simulation frameworks. The ideal candidate: Deep expertise in training or fine‑tuning state‑of‑the‑art diffusion models and large‑scale generative vision systems. Strong software engineering fundamentals with the ability to transition seamlessly between research prototypes and production systems. Experience with distributed training, large‑scale data curation, or 3D simulation frameworks such as Unity or Unreal Engine. #J-18808-Ljbffr

A cutting-edge technology company in San Francisco is seeking an AI Research Lead to define AI strategies, mentor a top-tier team, and advance security initiatives. The ideal candidate will have a strong publication track record in ML/AI and experience in delivering AI systems to production. This role involves leading research efforts and collaborating with top researchers. A competitive salary and opportunities for growth await candidates passionate about the intersection of AI and cybersecurity. #J-18808-Ljbffr

A leading tech company in Mountain View seeks a Quantitative User Experience Researcher to evaluate user behaviors and improve customer engagement. The role requires strong skills in programming and statistical methods, alongside a Bachelor's degree and several years of research experience. Successful candidates will influence product strategies based on empirical research and collaborate across functions. The position offers a competitive salary range of $129,000 to $185,000 plus bonuses and equity. #J-18808-Ljbffr

Do you want to be an integral part of the world's most popular source for movie, TV and celebrity content? IMDb is looking for a UX Designer to create new experiences for IMDb's 250MM+ audience of passionate entertainment consumers and entertainment professionals. We seek a designer who is customer focused and has a love for movies, television, and online video content. As a designer, you obsess over the details, from how information is architected to the best ways to leverage visual design to communicate an idea. You're comfortable thinking big, envisioning design solutions across multiple platforms, and diving deep to explore all possible paths in order to deliver engaging and delightful experiences. You repeatedly explore and translate ambiguous business requirements and design concepts into precise interactive and visual design specifications for development and implementation. You identify and define UI patterns and best-practice guidelines to help unify design projects and process throughout the company. Key job responsibilities Create user‑centered designs that incorporate business requirements, market analysis, customer feedback, site metrics, and usability findings and insights. Design conceptual wireframes, high‑fidelity mockups, information architecture diagrams, user flows, and interaction specifications. Seek out diverse feedback and foster a passion for cross‑functional collaboration. Present design work to multiple teams and senior leadership for review. Lead the creation and refinement of UI components, patterns, and template libraries, ensuring each element meets high visual craft standards and reflects a systematic approach to design with a strong eye for consistency. Continue to shape our visual language and design system that reaches millions of users every day. Advocate for accessibility standards and ensure compliance across components, reflecting your commitment to inclusive design practices. Basic Qualifications 3+ years of design experience. 3+ years of delivering design solutions as a UX designer or interaction designer. Have an available online portfolio. Experience designing and prototyping with tools such as Figma, Adobe Creative Cloud, or similar. Preferred Qualifications 2+ years of mass‑market consumer web / mobile products experience. Experience working in a collaborative team and working directly with developers for implementation of designs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************** #J-18808-Ljbffr