Technical internship jobs in Santa Clara, CA - 1,051 jobs

eDiscovery Technical Advisor Employment Type: Full‑Time, Executive‑Level Department: Legal CGS is seeking a dedicated eDiscovery Technical Advisor to join a fast‑paced and hard‑working team to assist with any legal accounts. As an eDiscovery Technical Advisor, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting‑edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and Attributes for Success Contractor shall provide expertise in identifying, preserving, collecting, processing, and producing ESI in support of civil and criminal litigation, select FOIA requests, Congressional requests and other inquiries; Contractor shall provide expertise specifically in criminal discovery support to include identifying, preserving, collecting, processing, and producing ESI; Contractor shall serve as the expert technical user of the available electronic discovery applications, which include Enterprise Vault, Discovery Accelerator, Legal Hold Management Tool (LHMT), and the Veritas eDiscovery Platform; Contractor shall work with the litigation team to develop a discovery plan which documents the electronic discovery search parameters (e.g., date range, key words, and custodians) for a particular case; Contractor shall use electronic discovery software applications to collect data from various FBI storage locations on FBI IT systems (e.g., MS‑Exchange servers, shared drives, desktops, text and instant messages) in accordance with the discovery plan, to support OGC attorneys, paralegal specialists, Information Management Division personnel and case agents who are responsible for responding to pre‑trial discovery motions, requests, subpoenas related to civil and criminal matters, congressional inquiries, FOIA requests and other inquiries; Contractor shall analyze search/collection results for data gaps; Contractor shall administer data inputs into an electronic discovery review platform (e.g. eDP), which includes, but is not limited to: creating cases; adding collected source data; Contractor shall handle user access rights; upload data logs; de‑duplicate collected source data; identify data gaps; merge/verify data; and assure electronic discovery production quality in Bates numbering and load file creation; Contractor shall coordinate electronic discovery collection results with FBI units responsible for processing discovery for review/redaction/release; Contractor shall adhere to policies and technical procedures for use of available electronic discovery software applications and provide agency attorneys, paralegals, and other users of the FBI's electronic discovery review platform with training and other technical assistance; Contractor shall provide information and advise on instructions regarding the FBI's process for identifying, preserving, collecting, analyzing, and organizing ESI, including the use of electronic discovery software programs; Contractor shall provide ad hoc support to end users of the electronic discovery review platform repository; Contractor shall document electronic discovery plans and procedures for each individual case; Contractor shall facilitate requests for legal hold implementation, amendment, and/or lift that are submitted by various requesters in LHMT; Contractor shall provide eDiscovery collections on criminal cases. Qualifications 5 (five) years of eDiscovery/litigation support experience with a focus on client solutions. 3 (three) years of progressively responsible experience on major lit support projects. 2 years in Relativity, beyond document review coding. Excellent communication, presentation, and interpersonal skills with both eDiscovery technical teams and non‑technical business leaders and team players. Ability to work in a fast‑paced environment and agile work environment. Experience and familiarity with eDiscovery Services covering all realms of the EDRM (File to Trial). Must be a U.S. Citizen. The ability to obtain a U.S. Government security clearance (active clearance preferred). BS/BA degree or equivalent work experience (JD highly preferred). Our Commitment Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting‑edge technology with world‑class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government‑contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self‑awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. Benefits Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Phone: ***************** Email: ******************* $137,200 - $186,200 a year #J-18808-Ljbffr

Requirements High performer with experience in intellectual property matters, including patent and/or trade secret litigation. Undergraduate degree in computer science, electrical engineering, mathematics or physics (this is preferred). Superior academic credentials in law and undergraduate coursework. Strong work ethic, excellent leadership skills, and action-oriented interest in taking on increased levels of responsibility for client matters. Outstanding research and analytical skills, excellent oral and written communication skills, and have sound legal and business knowledge in working on a broad spectrum of cases and counseling clients with respect to ongoing matters. Admitted to the state bar in which you are practicing. Summary Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our sole focus on intellectual property enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. Confidentiality At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. Opportunity Note Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

We are currently seeking an IT Support Specialist who can provide end user technical support. You will be responsible to manage and troubleshoot a variety of technical issues related to IT equipment (Mac, PC, Printers, etc) and be able to assist in supporting applications owned by IT. You will work alongside other IT engineers to support the IT infrastructure in order to bring about the future of electric aviation. What you will do: • Learn team culture and methods through our onboarding process • Basic Level I/II software & hardware Mac/PC troubleshooting skills • Experience supporting executives • Help in triaging and resolving helpdesk related requests through our ticketing system • Assist in supporting user profile management through Active Directory and Okta • Learn IT procedures and develop ideas to improve them • Help streamline and optimize IT procurement and fulfillment • Assist with rolling out our CASB (Cloud Security solution) • Engage with IT's customers to manage changes to key services • Directly contribute to the overall success of organizational milestones and SLAs • Must have strong Mac and PC knowledge and troubleshooting skills. • Install hardware and peripheral components like disk drives, printers, keyboards and monitors. • Good working knowledge of Okta, G Suite and Active Directory • Experience with system deployment, configuration deployment, and management of Mac/Windows to roll out updates • Be able to troubleshoot basic network issues • Good knowledge of IT security best practices • Prior experience with AV Conference room setups using Google Meet/Zoom • Setup and support meetings utilizing current AV equipment • Ability to exercise good judgement, to independently assess risk, and to make critical decisions • Ability to move quickly in a fast-paced startup setting Desired: • JAMF and Windows Manage Engine • Mac and Windows OS • Exposure to configuration and maintenance of Network devices • Experience with basic administration of JIRA, Confluence and BitBucket • Scripting capabilities (Powershell, BASH, etc) • Automation experience (Munki & Puppet or similar tools) • Familiarity with Google Cloud Platform • Working knowledge of Linux, Ubuntu, Centos systems • Be able to accommodate an early start to the day

Our client, an American retailer that owns and operates 4 brands that are well known, is looking for someone to join their team as a Technical Associate. This role is onsite in San Francisco, CA. *This is a 3-month W2 contract* In this role, you will provide production support in a fast-paced, high-volume digital studio. This role is a unique hybrid of IT support, studio operations, and workflow automation. You will serve as the primary support for Macintosh workstations, manage hardware inventory, and ensure the technical infrastructure of the studio runs smoothly. What You Will Be Doing 1. Studio Systems & Hardware Support Mac Fleet Management: Deploy and configure Macintosh workstations using Jamf. Troubleshoot hardware/software issues for the entire studio staff. Color Precision: Perform regular monitor calibration (Eizo/NEC) to ensure color accuracy across all capture and retouching stations. Peripherals & Infrastructure: Maintain and troubleshoot studio infrastructure, including Wi-Fi connectivity, network ports, Zoom Room configurations, and internal corporate badge printers. Physical Setup: Manage the physical setup of computer equipment on carts and workstations for incoming talent and crew. 2. Scripting, Automation & AI AI-Assisted Development: Utilize AI tools (LLMs) to efficiently write, debug, and optimize scripts for workflow automation. Tool Maintenance: Support and maintain custom internal applications written in Python, AppleScript, and Bash. Innovation: Proactively identify repetitive manual tasks in the studio workflow that can be solved with logical scripting solutions. 3. Asset Management & Operations Inventory Control: Responsible for the check-in/check-out process of technical gear. Maintain accurate asset tracking records. DAM Support: Act as a backup support for the Digital Asset Management system. Assist in training freelancers and staff on specific search queries and asset retrieval. Emergency On-Set Support: While not a Digital Tech role, provide emergency backup troubleshooting for tethering issues (Capture One/Camera connectivity) when immediate resolution is required to keep a shoot moving. Required Skills & Experience Mac OS Mastery: Deep understanding of the Macintosh operating system, file structures, and troubleshooting utilities. Scripting Logic: Functional knowledge of Python, Bash, or AppleScript, with a specific aptitude for using AI tools to generate and refine code. Network Fundamentals: Ability to troubleshoot Wi-Fi, Ethernet, and server connection issues in a corporate environment. Color Management: Familiarity with monitor calibration hardware and software (e.g., ColorNavigator, i1Profiler). High-Stakes Problem Solving: Ability to remain calm and resolve technical failures quickly during high-pressure photo shoots Preferred Skills Jamf Administration: Certification or experience building policies (not just deploying). Capture One: Experience with tethered photography workflows. DAM Systems: Experience with enterprise-level Asset Management tools.

Apply Now Apply Later Job ID 10138965 Location San Francisco, California, United States / Burbank, California, United States / Glendale, California, United States Business Disney Entertainment and ESPN Product & Technology Date posted Dec. 23, 2025 Job Summary: The Strategy & Operations team within Disney Entertainment and ESPN - Product & Technology is responsible for shaping the organization's long-term vision, developing a user-centric strategy across Disney's entertainment and sports products, and executing against the org's most critical near-term priorities. The team reports directly to the Chief Product & Technology Officer (CPTO), and uses strategic analysis, creative storytelling, and operational rigor to surface insights, frame trade-offs, and guide decision-making for Disney's senior leadership. As a Senior Associate Product & Technology Strategy you will guide the CPTO's agenda from initial planning to execution. You will define the strategic direction of the organization during a critical period of transformation, identify long-term bets for future growth, and work hand-in-hand with Product Managers, Engineers, and Designers to accelerate high-priority efforts. Responsibilities: Strategy Projects: Drive special initiatives for Product & Technology, and partner with Corporate, Direct-to-Consumer, and ESPN Strategy teams to accelerate Disney-wide priorities. Projects will require you to analyze user needs, assess emerging trends, develop a long-term product vision, influence roadmap prioritization, surface M&A opportunities, and/or guide organizational design. Long-range and Annual Planning: Serve as a primary Product & Technology point-of-contact for corporate planning. This includes articulating the strategic vision for the org, partnering with Product & Engineering leaders to define organizational commitments, and collaborating with Finance to size investments and corresponding ROIs. Executive Reporting: Provide regular Product & Technology updates to Disney's top executives and stakeholders, in partnership with Corporate Communications and Investor Relations. This includes roadmap reviews, performance updates, and investor narrative discussions with Disney's most senior leaders up to, and including, the CEO and Board of Directors. Market & Competitive Intelligence: Build a “center of excellence” for assessing market developments that impact the Product & Technology roadmap. This includes conducting in-depth market research, unpacking industry trends, monitoring competitor strategies, and providing actionable insights to inform product strategy. Operational Alignment: Drive alignment between strategic objectives and operational activities. Partner with Product, Engineering, Design, and Operations to harmonize multi-year strategies with near-term goals, roadmap priorities, and operating models. Qualifications: 5+ years of experience in Strategy / Management Consulting roles within top-tier Technology, Media, and/or Professional Services companies. BS/BA or equivalent experience required. Strong analytical and structured problem-solving skills; capable of framing ambiguous quantitative / qualitative problems, and conducting complex analyses independently. A deep understanding of industry dynamics in technology and media; proficiency in the latest trends and their implications. Proactive “self-starter” with a passion for driving outcomes and a bias for action. Team-oriented culture carrier with a proclivity towards cross-functional collaboration and mentorship. Highly detail oriented with strong organizational skills; ability to manage and prioritize multiple projects. Embrace of dynamic, fast-paced, and matrixed organizations with significant executive visibility, comfortable influencing in the absence of direct control. Strong written, presentation and oral communication skills; capable of developing high-level presentations for senior executive audiences. The hiring range for this position in San Francisco, CA is $141,600.00 to $189,800.00 per year and in Glendale and Burbank, CA is $129,300.00 to $173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC , which is part of a business we call Disney Entertainment and ESPN Product & Technology . Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs . We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

The Strategy & Operations team within Disney Entertainment and ESPN - Product & Technology is responsible for shaping the organization's long-term vision, developing a user-centric strategy across Disney's entertainment and sports products, and executing against the org's most critical near-term priorities. The team reports directly to the Chief Product & Technology Officer (CPTO), and uses strategic analysis, creative storytelling, and operational rigor to surface insights, frame trade-offs, and guide decision-making for Disney's senior leadership. As a Senior Associate Product & Technology Strategy you will guide the CPTO's agenda from initial planning to execution. You will define the strategic direction of the organization during a critical period of transformation, identify long-term bets for future growth, and work hand-in-hand with Product Managers, Engineers, and Designers to accelerate high-priority efforts. Responsibilities: Strategy Projects: Drive special initiatives for Product & Technology, and partner with Corporate, Direct-to-Consumer, and ESPN Strategy teams to accelerate Disney-wide priorities. Projects will require you to analyze user needs, assess emerging trends, develop a long-term product vision, influence roadmap prioritization, surface M&A opportunities, and/or guide organizational design. Long-range and Annual Planning: Serve as a primary Product & Technology point‑of‑contact for corporate planning. This includes articulating the strategic vision for the org, partnering with Product & Engineering leaders to define organizational commitments, and collaborating with Finance to size investments and corresponding ROIs. Executive Reporting: Provide regular Product & Technology updates to Disney's top executives and stakeholders, in partnership with Corporate Communications and Relations. This includes roadmap reviews, performance updates, and investor narrative discussions with Disney's most senior leaders up to, and including, the CEO and Board of Directors. Market & Competitive Intelligence: Build a “center of excellence” for assessing market developments that impact the Product & Technology roadmap. This includes conducting in-depth market research, unpacking industry trends, monitoring competitor strategies, and providing actionable insights to inform product strategy. Operational Alignment: Drive alignment between strategic objectives and operational activities. Partner with Product, Engineering, Design, and Operations to harmonize multi-year strategies with near-term goals, roadmap priorities, and operating models. Qualifications: 5+ years of experience in Strategy / Management Consulting roles within top‑tier Technology, Media, and/or Professional Services companies. BS/BA or equivalent experience required. Strong analytical and structured problem‑solving skills; capable of framing ambiguous quantitative/qualitative problems, and conducting complex analyses independently. A deep understanding of industry dynamics in technology and media; proficiency in the latest trends and their implications. Proactive “self‑starter” with a passion for driving outcomes and a bias for action. Team‑oriented culture carrier with a proclivity towards cross‑functional collaboration and mentorship. Highly detail oriented with strong organizational skills; ability to manage and prioritize multiple projects. Embrace of dynamic, fast‑paced, and matrixed organizations with significant executive visibility, comfortable influencing in the absence of direct control. Strong written, presentation and oral communication skills; capable of developing high‑level presentations for senior executive audiences. The hiring range for this position in San Francisco, CA is $141,600.00 to $189,800.00 per year and in Glendale and Burbank, CA is $129,300.00 to $173,300.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs Link opens in new window. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

A leading tech company in San Francisco seeks a Frontend Developer to lead design and implementation of user interfaces. The role demands 4-8 years of experience with React, TypeScript, and a strong emphasis on product design. Ideal candidates will excel in mentoring and establishing best practices in a fast-paced environment. You will shape the frontend culture and directly impact user experiences in a collaborative atmosphere. #J-18808-Ljbffr

You drive the strategy, Spark does the stakeholder updates. The AI for PMs. We are looking for an IT Operations Specialist who is proactive, resourceful, and excited to support a fast-growing global company. You'll be the primary IT point of contact for our San Francisco office, ensuring our team has a seamless technology experience - whether that's setting up laptops, maintaining AV systems, supporting SaaS access, or coordinating with vendors and logistics partners. This role is hands‑on and varied: you'll support day‑to‑day IT requests, maintain our office technology environment, and work closely with a distributed IT team across North America and Europe. You'll also help drive the way our IT operations scale - expanding automation, enhancing service desk capabilities, and using AI agents to streamline workflows and processes across the company. On a Typical Day, You Will… Purchase, track, and deploy laptops, peripherals, and IT/AV equipment Manage shipping, receiving, and logistics for onboarding/offboarding and remote team members Maintain and troubleshoot office AV systems (conference rooms, Zoom Rooms, displays, audio equipment) Process employee support tickets related to devices, access, connectivity, and SaaS tools Handle access management in Google Workspace, Okta, and other internal systems (Zoom, Notion, 1Password, Envoy, etc.) Be the process owner for onboarding and offboarding Write internal documentation and help improve operational workflows Support office infrastructure such as Wi‑Fi, printers, and shared devices Maintain a clear and accurate IT asset inventory Work closely with Office Management, People Ops, Security, and Workplace teams Communicate with external vendors to coordinate purchases, repairs, and service requests Identify recurring issues and implement automation or self‑service solutions where possible (e.g., scripted workflows, MDM automations, AI/agent‑driven support) Help build and improve our service desk experience, including optimizing ticket routing, creating knowledge‑base content, and piloting tools like Glean or agent‑based IT support Evaluate and recommend opportunities for tool consolidation, cost savings, and improved vendor partnerships Proactively improve IT operations by analyzing patterns, reducing manual workload, and standardizing systems and processes About You Experience in IT Operations, Desktop Support, or Helpdesk roles Comfortable working independently and taking ownership of your responsibilities Familiar with mac OS and iOS environments Working knowledge of Google Workspace, Okta, Slack, Zoom, and SaaS administration You are independent, proactive, and able to take ownership without micro‑management Basic networking knowledge (LAN, Wi‑Fi, VPN) Strong communication skills and a helpful, customer‑first attitude Organized and reliable, with solid time and task management Interest in leveraging automation, modern IT tools, or AI‑driven workflows to improve efficiency and employee experience Nice to have Experience with MDM systems (e.g., Kandji, Jamf, Intune) Prior involvement in office setups, expansions, or relocations Understanding of IT security best practices Exposure to service desk platforms, workflow automation tools, or AI/agent‑based work automation systems (e.g. Glean) Experience improving IT operations through process standardization, tooling rationalization, or vendor optimization The expected base pay range for this position in the San Francisco area is $97,400 - $129,100. In addition to the base pay, this role is eligible for competitive equity awards and benefits. Productboard's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. About Productboard At Productboard, we're on a mission to help product teams build exceptional products with clarity and confidence. As the leading intelligent product management platform, we empower over 4,000 companies, including Salesforce, SAP, Autodesk, and Kroger, to understand what customers need, prioritize what to build next, and align everyone around a shared roadmap. Headquartered in San Francisco with offices in Prague and Brno, Czechia, we're backed by some of the world's most respected investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer Venture Partners, Tiger Global, and Dragoneer. We're proud to be consistently recognized as one of the best places to work by BuiltIn and Comparably, and to count ourselves among the world's leading unicorn companies. Well‑funded and financially disciplined, we have the stability and runway to build boldly for the long term. Over the past few years, we've rearchitected our platform from the ground up to serve enterprise scale and set the foundation for the next era of product management. Now we're entering an exciting new phase with Productboard Spark, our AI‑first, agentic experience that transforms how product teams work. Spark is a true collaborator that deeply understands your product context, company strategy, and customer needs, helping teams move faster and make smarter, more confident decisions. Join us as we build the future of product management. About our culture Imagine working in a place where everything matters - most importantly, you. At Productboard, values aren't just something we like to talk about, they're something we live and breathe. We believe in creating a work environment where: People feel empowered, supported, and included Trust and transparency are built into the way we work Creativity, curiosity, and continuous improvement are encouraged and nurtured every day Forming our company values was a group effort, with every employee allowed to contribute. From profit‑sharing initiatives, like stock options, to open calendars and communication, we don't waste time on politics or ego. We champion openness by sharing our goals, successes, and failures. Join colleagues who are passionate about what they do. Team members who are invested in their work environment, and the future of Productboard. Help shape our company, culture, and product! We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non‑disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change. #J-18808-Ljbffr

Thank you for your interest in Stanford University. While we have instituted a hiring pause for non‑critical staff positions, we are actively recruiting for most of the positions currently listed on our careers page. We will update the page when the broader hiring pause is lifted. Job Summary DATE POSTED Oct 03, 2025 Schedule Full-time Job Code 4510 Employee Status Regular Grade M Requisition ID 107444 Dean of Research / Office of Technology Licensing: The Office of Technology Licensing (OTL) was established in 1970 to manage the intellectual property assets of Stanford University. OTL evaluates, markets, and licenses technology owned by the University. OTL's mission is to encourage effective technology transfer for the public benefit as well as generating royalty income for Stanford to benefit research and education. OTL is one of the country's most active offices in the field of technology transfer from the university to industry. Our staff, most of whom are professionals engaged directly in licensing, manages over 3,000 active dockets. Our VPDoR Diversity Journey We create a hub of innovation through the power of diversity of disciplines and people. We provide equitable access and opportunity to all members of the community in order to do their best work, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. We listen to and value all colleagues who bring diverse perspectives to the advancement and development of a respectful community. We promote a culture of belonging, equity, and safety. We embed these values in excellence of education, research, and operation. POSITION SUMMARY The Senior Associate Director for Industry and Technology Transactions is a leadership position within Stanford's Office of Technology Licensing, responsible for driving complex agreements that advance Stanford's mission of research excellence, innovation, and strategic collaboration. The position leads a team of contracting professionals and serves as the primary point of contact for strategic negotiations with industry leaders, strategic partners, and non‑profit organizations. This role oversees the full lifecycle of complex transactions-from drafting through negotiation and execution-to ensure alignment with Stanford's policies, compliance requirements, and strategic objectives. The portfolio includes technology licensing agreements, research collaborations, strategic industry alliances, and mission‑aligned transactions with non‑profit organizations. The Senior Associate Director establishes clear risk frameworks and deal strategies that protect the University's interests while enabling sustainable, mutually beneficial partnerships. A key expectation is the ability to act as a strategic advisor who can translate complex legal concepts into practical, actionable business recommendations. The role partners closely with faculty, researchers, and internal contracting and licensing staff, as well as other Stanford offices to structure agreements that foster innovation, safeguard intellectual property and academic values, and support successful long‑term relationships with external partners. This position requires excellent judgment, strategic thinking, and the ability to balance risk with opportunity. The ideal candidate will be a collaborative problem‑solver who combines strong legal acumen with business insight to drive agreements that create value for Stanford and its partners. A JD or equivalent advanced degree is preferred, with 9+ years of experience in technology transfer, licensing, or complex commercial transactions and a track record of leading high‑value negotiations in domains such as biotech, engineering, or software. CORE DUTIES Direct staff and provide leadership to Industrial Contracts officers. Promote the goals and vision of ICO. Responsible for hiring, training and retaining staff, career coaching, professional development and accountable for the performance of direct reports. Develop strategic plans for ICO. Identify and resolve strategic issues of substantial significance that affect the overall functioning beyond ICO, consult and advise senior University leadership. Advise senior management on programmatic and policy development. Evaluate the effectiveness of ICO's organizational structure and programs to promote success, development of employees and appropriate use of staff resources. Negotiate, sign and administer major research agreements with companies, such as master sponsored research agreements, unfunded collaboration agreements, material transfer agreements, equipment loan agreements, and other related agreements. Supervise ICO staff on other agreements. Provide guidance to faculty, senior management, research staff, and other Stanford offices on Stanford policies on intellectual property, contracts, and other related issues. Oversee the resolution of issues related to intellectual property, contracts, research administration, and other related issues. Coordinate the development and maintenance of internal group documents, databases and procedures to ensure work product and workflow are efficient and up‑to‑date. Develop and deliver training on intellectual property, contracts, and other issues to co‑workers, faculty, staff, and other Stanford offices. Network with colleagues at other institutions, at companies, and licensing associations to develop relationships and gain a broader understanding of industry‑academic relationships outside of Stanford. Make presentations at industry and academic research and licensing conferences. MINIMUM REQUIREMENTS Education & Experience Bachelor's degree and nine years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities Demonstrated leadership, supervisory, planning and change management skills. Excellent oral and written communication skills to collaborate effectively with a wide range of faculty and staff and to work with industry legal and business personnel. Ability to influence people, solve problems, troubleshoot, think creatively and resolve conflicts. Advanced analytical and problem solving skills. Strong knowledge of industry practices and regulatory requirements. Expertise in intellectual property, licensing, contract and regulatory issues pertaining to research agreements with industry. Ability to work efficiently within a complex university administration, often under pressure and short deadlines. Understanding of the structure, purpose, functions and objectives of research at Stanford. Exceptional analytical and organizational skills and attention to detail required. Excellent judgment and common sense required. PHYSICAL REQUIREMENTS Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, use a telephone, lift, carry, push, and pull objects that weigh up to 10 pounds. Rarely writes by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORK STANDARDS Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* For On‑site or Hybrid Positions The expected pay range for this position is $213,783‑$264,938 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first‑ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time‑off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world‑class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Dean of Research, Redwood City, California, United States #J-18808-Ljbffr

A leading entertainment and technology company is seeking a Customer Service Representative in San Francisco. This role involves evaluating customer needs, providing outstanding service, and acting as a brand ambassador for Comcast/Xfinity products. Candidates should have a High School Diploma and 2-5 years related experience. The position offers competitive pay with base salary and commission opportunities, along with great benefits starting from Day One. #J-18808-Ljbffr

About the role: The Computational Biology group at 10x Genomics is looking for an outstanding intern to work with us in the summer of 2026 for our Xenium product. This person will investigate and develop approaches on Few-Shot Learning for adapting a pre-trained cell segmentation model to a much wider range of cell morphologies, using only a very limited amount of annotated samples. They will work closely with our imaging and assay-development teams to push the state-of-the-art in spatial transcriptomics. The intern will be involved in selecting, implementing, testing, and optimizing models for the purpose of few shot learning, rapidly prototyping methods for internal experiments and early R&D. Interns will work on a mix of “real-world” product features that will ship to customers soon, and longer-term exploratory proof-of-concept work to test new ideas. Individuals applying for this position should have a strong background in computer vision and machine learning. You have a deep understanding of the theory, implementation, and practical application of various relevant algorithms. You can take an idea, quickly implement it in code, and evaluate its performance. You must be self-starters, strategic thinkers, action driven, and thrive in a fast paced environment. What You Will Be Doing: Select, implement, test, and optimize prediction methods to extract relevant information from imaging data. Rapidly prototype methods for internal experiments & early R&D Build analytical models or simulations to understand and communicate key trade-offs of model design and data quality. Create high-quality and robust implementations of production algorithms. Required Skills and Background: Currently enrolled in a M.S. or Ph.D program in computer science, computational biology or a related field Strong skills in image processing (feature extraction, object detection & classification, segmentation, etc.), including both classical algorithmic approaches and deep learning. Strong programming ability in Python or Rust/C/C++ Ability to research existing methods from literature, adapt them to the problems at hand, and turn them into well architected code. A combination of mathematical depth with a healthy respect for the imperfections inherent in real-world data. Experience with cell, fluorescence, and/or histology imaging is a plus. Below is the base pay range for this position. The actual base pay will depend on several factors unique to each candidate, including one's skills, qualifications, and experience. Unless otherwise required by law, this role is not eligible for 10x's health benefit program. During the hiring process, your 10x recruiter can share more information about the Company's compensation and benefits. Pay Range$40-$48 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors Qualifications Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree at an accredited university. Actively pursuing a degree or one closely related in computer science, computer engineering, electrical engineering or similar. Development experience in one or more areas of computer vision, image/video, deep learning. Experience programming in C++, Python, or related languages. Solid understanding of machine learning, deep learning, and neural network architectures. Proficiency in using computer vision and deep learning toolkits. Passionately motivated to take ideas from R&D phase to a product Strong written communication and presentation skills. Applying to this opening will place you into consideration for Rivian's 2026 summer internship program. Teams your application can be considered for include: Autonomy ADAS Electrical Hardware, Sensors

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams. This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON Responsibilities: Develop machine learning graph compiler Participate in the co-design of Tenstorrent's hardware and software stack Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler Develop high-performance run-time engine Integrate the Tenstorrent software into leading machine learning frameworks Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements Experience & Qualifications: Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus Strong problem solving and analytical skills Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. *Note: Applications will remain live for at least 5 business days when the role is posted. The post will be removed when application targets are met. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. By joining the Expedia Group 2026 Global Summer Internship Program as a Machine Learning Science Intern you'll fully integrate into our inclusive community and gain a well-rounded experience of life at Expedia Group. Our global program offers an exciting opportunity to contribute to business-critical projects by developing your skills through tailored learning and training, providing ongoing support, and offering insightful intern-specific events to build knowledge and community. We're building a more open world. Join us. Internship Program Highlights: Onboarding: Connect with your cohort, receive support, and set up for success in your first week Intern Bootcamp: Role-specific technical and professional skills learning, both in-person and virtual, delivered in your first week to help you get set up for success Meaningful work and projects: Interns join a variety of Expedia Group teams and directly contribute to business workstreams and priorities; at the conclusion of the internship interns present their work to team members and senior leadership Learning Series: Interactive workshops delivered by our Learning team to build professional & soft skills, and support development, including topics such as personal branding and presentation skills Leadership Series: Exclusive intern-only events with our Travel Leadership Team leaders to learn about their career journeys, hear their views on industry and company trends and ask questions! Social events: Regular fun events organized for each regional cohort so you can get to know others, enjoy the Expedia Group culture, and enjoy some downtime! Mentorship: Mentors are assigned to each individual intern to support your development and learning throughout the program and are also a great way to build your understanding and network at EG. Support: Coaching and advice, provided by managers, team navigators (buddies) and a specific point of contact per region from Emerging Talent & Careers. What You'll do: Travel is so much more than simply reaching your destination. Along the way you will make an immediate impact on reimagining the way people search for travel with our awesome team by inventing brand-new techniques to power global travel for everyone, everywhere. From building pipelines and prototyping new ML models with A/B testing, to applying new techniques to services that run tens of thousands of requests per second, there is no shortage of opportunities for technical innovation at Expedia Group - the sky's the limit! Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external) Conducting feature engineering and modifying existing models/techniques to suit business needs Developing domain expertise in fraud & risk to understand how to detect risky transactions Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience Framing business problems as data science problems with a concrete set of tasks Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work Who You Are: We know that many potential candidates can be hesitant to apply for a job if they aren't sure that they meet all the criteria shared. If you meet all the criteria labelled ‘Must' and are interested in this role, we encourage you to apply! Must be available to commit to the full program dates: U.S.A: Cohort 1: May 18 - July 24, 2026 or Cohort 2: June 22 - August 28, 2026 Must be graduating with a PhD degree in a technical subject (e.g. PhD degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree) between December 2026 and July 2027 Must be willing to relocate to city of job location if outside commuting distance Must have Python and/or Scala, SQL knowledge Must be graduating from university in the same country of internship location Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java Helpful to have understanding of distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc. Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people) Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge What We Offer: Successful candidates will receive a competitive compensation package including the benefits below and others: The total cash range for this position in Austin is $56 per hour. The total cash range for this position in San Jose is $61 per hour. Pay for this role will vary based on multiple factors, including location and degree level. Health care benefits: medical, dental & vision options Hybrid Work Policy Travel discounts Opportunity to receive a full-time permanent offer after graduation and 12 months of customized support from our Emerging Talent & Careers team Community support through Expedia Group's Inclusion Business Groups Relocation support (if eligible) Next Steps: Apply now! Our dedicated emerging talent & careers team will review your application and suitable applicants will be encouraged to complete an immersive strength based online assessment as the first step. Depending on the role profile you are applying to, selected candidates may also be asked to take a skills-based screening assessment. Candidates who are invited to a final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position. These interviews will also be a chance for you to learn more about us, too! Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Samsung AI Research Center (SAIC) located in Mountain View, California, is currently recruiting outstanding research interns for the Vision Intelligence lab. Our goal is to perform long-term research with potential for direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art in multimodal understanding and generation. Position Summary: In this position, the student will collaborate with leading researchers on a project related to the lab's interests in multimodal (image, video, 3D, text) retrieval, question answering, reasoning, generation and editing. Position Responsibilities: Conduct research on multi-modal models in one the above-mentioned area Write maintainable code to implement research ideas Work closely with the team to discuss findings and improve the method Executing experiments, documenting their progress and presenting insights Prepare findings for submission to a major conference or journal Required Skills: Currently pursuing a MS or PhD degree Experience with programming in Python, Pytorch, Transformers etc. Previous publications in top-tier conference and journals in CV/ML/AI such as CVPR, ECCV, ICCV, ICML, NeurIPS, AAAI Experience in one or more of the following areas: Experience in VLMs including model architecture design, pretraining or post training (SFT, RLHF, GRPO) techniques Experience in diffusion models and other generative AI approaches for image/video/3D domains Experience in design and development of efficient multi-modal models using techniques like knowledge distillation, mixture of experts etc. Experience in Vision Language Action Models (VLA) for Agentic systems in robotics, GUI based task automation etc. Strong oral and written communication skills Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors-including the role's function and location as well as the individual's knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well. Hourly Pay Rate Range $48 - $63 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email *********************. Equal Employment Opportunity At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency

CNC Machine Park Internship, Manufacturing | Hardware About 1X We build humanoid robots that work alongside people to solve labor shortages and create abundance. The Role As a CNC Machine Park Intern, you will support the daily operations of our CNC machine park, gaining hands-on exposure to real-world manufacturing processes. You'll work closely with experienced operators and programmers while developing foundational skills in machining, inspection, and shop organization. This role offers a clear path for technical growth and long-term opportunities in robotics-focused manufacturing. Job requirements You Will Support daily operations including machine setup, part loading, cleaning, and basic tool handling Observe and assist with CNC machining, inspection, and routine maintenance tasks Learn to read part drawings and interpret basic G-code Maintain a clean, organized, and safe workshop environment Take on progressively more technical responsibilities as experience grows Must Have Strong interest in manufacturing and a desire to learn CNC operations from the ground up Comfortable working with machines, tools, and in a hands-on environment Reliable, detail-oriented, and committed to contributing consistently Eagerness to grow into a full-time technical role in a robotics-focused manufacturing setting Benefits & Compensation Salary Range: $25 per hour Health, dental, and vision insurance Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. On-site San Carlos, California, United States $25 per hour Manufacturing and ProductionAll done! Your application has been successfully submitted! Other jobs

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the System Validation Team Zipline's Software Systems Validation team ensures that all the software powering our autonomous delivery aircraft works reliably, safely, and as intended in the real world. We operate at the system level-evaluating how components like navigation, perception, controls, planning, and actuation work together as a cohesive product. The team partners closely with Embedded Software, Autonomy, Systems Engineering, Test Infrastructure, and Data Platform groups to build validation tools, analyze performance, and identify risks early. Our work spans simulation, hardware testing, data-driven analysis, and system-level evaluations that support deployments across the globe. As an intern, you'll collaborate with engineers across these domains, gaining hands-on exposure to how industry-leading autonomous systems are designed, tested, and validated at scale. The Role As a Software Systems Validation Intern, you will help evaluate the software that enables Zipline's autonomous drone delivery system. You'll contribute to building tests, tools, metrics, and visualizations that help the team understand system performance, identify issues, and ensure reliability before flight. This role is designed for someone excited to learn how complex robotic systems are validated, who enjoys problem-solving, and who wants to build real-world experience working with autonomy software, data analysis, and systems engineering. What You'll Do Support the design and execution of test scenarios across the autonomous software stack to validate system-level requirements Help develop and improve validation tools, workflows, and automation Build basic visualizations or metrics that highlight performance trends, gaps, or regressions Work with test infrastructure and data platform teams to run validation pipelines Analyze results and contribute to identifying root causes of failures or unexpected behavior Document findings and communicate insights to engineering stakeholders What You'll Bring Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Aerospace Engineering, Robotics, or a related field Coursework or project experience in robotics, controls, estimation, navigation, perception, or software development Familiarity with testing, debugging, or validation methodologies (academic or project-based experience counts!) Experience with data analysis using Python, SQL, or similar Basic proficiency with a compiled language such as C/C++ or Rust Curiosity, attention to detail, and a desire to learn how autonomous systems are validated in real-world environments Bonus Skills (Nice to Have) Exposure to hardware, actuators, sensors, and interfacing with software Experience with robotics competitions, club projects, or research labs Interest in requirements development, reliability engineering, or statistical validation What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Summer 2026 interns from May or June to August. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $40 - 44/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Genesis Molecular AI is bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions, by combining the power of machine learning and physics-based methods. We are seeking early career scientists skilled in developing and applying computational chemistry and physics methodologies to help drive forward our challenging drug discovery programs. You will * Develop and refine advanced computational chemistry and physics methodologies to help solve pressing challenges in our internal drug discovery programs * Collaborate with our machine learning team on hybrid physics/ML methods for predicting structure, potency, and other properties relevant to drug discovery. * Work closely with our computer-aided drug discovery scientists and medicinal chemists to develop, benchmark, and deploy improvements to our drug discovery platform as it is applied to our internal and partnered drug discovery programs. You are * A graduate student with a proven track record of applying or developing computational chemistry and physics methods. * Passionate about building methods to solve real problems. * A skilled programmer, preferably in Python, such that you can quickly implement your research ideas and analyze their performance. What we offer * The opportunity to work on challenging, high impact computational chemistry research that is immediately deployed to accelerate the discovery of new medicines. * A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. * Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program. * One-on-one mentor to help guide your research and act as a point person for questions. Application & Hiring Timeline * Application Deadline: January 9, 2026 * Resume Review: Beginning January 12, 2026 * Interviews Kick-Off: January 26, 2026 * Target Start Date: May-June 2026 About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company's generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

Job DescriptionSaviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit **************** Join Saviynt's Internship Program and gain hands-on experience solving real-world problems at the intersection of AI, security, cloud infrastructure, and data. Our interns work alongside experienced engineers, data scientists, and product teams to drive innovation, learn cutting-edge technologies, and make an impact from day one. Depending on your skills and interests, you may be placed in one of several focus areas, including:Machine Learning / Data Science - building and evaluating predictive models, data pipelines, and analytics systems Site Reliability Engineering (SRE) / Cloud - automating infrastructure, improving scalability and observability, and ensuring system resilience AI Security - working on the safety, robustness, and responsible use of AI systems Product AI (Identity, Governance, and Access) - applying AI to enhance identity management, privilege control, and security policy automation Please note: Due to the high volume of applications, our review process may take some time. We appreciate your patience and interest in Saviynt's internship program. Please note that only candidates selected to move forward in the process will be contacted.WHAT YOU WILL DO Collaborate with technical teams and cross-functional teams on impactful projects Design, implement, and test software components or models Explore new tools, frameworks, and datasets to enhance product capabilities Communicate results and insights to technical and non-technical audiences Contribute to documentation, presentations, or demos at the end of your internship WHAT YOU BRING Currently pursuing a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field Strong foundation in Python, Java, or similar programming languages Familiarity with data structures, algorithms, and software development principles Interest or experience in one or more areas: machine learning, cloud computing, cybersecurity, or applied AI Excellent problem-solving skills, curiosity, and eagerness to learn Preferred Qualifications Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn (for ML-focused roles) Familiarity with AWS, Azure, GCP, or container technologies like Docker/Kubernetes Coursework or projects related to AI ethics, data security, or distributed systems Strong written and verbal communication skills We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensationdecisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $30 -$45 dollars an hour.If required for this role, you will:- Complete security & privacy literacy and awareness training during onboarding and annually thereafter- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): > Data Classification, Retention & Handling Policy> Incident Response Policy/Procedures> Business Continuity/Disaster Recovery Policy/Procedures> Mobile Device Policy> Account Management Policy> Access Control Policy> Personnel Security Policy> Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.