1066 Artificial Intelligence jobs in Santa Clara
Artificial Intelligence Engineer
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Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.Job Description/Preferred Qualifications
Job Description
Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Milpitas, C engaged in the following activities.
- Collaborate with KLA's AI and HPC centers of excellence
- Further product roadmaps through applied R&D
- Drive innovation through hackathons and engineering conferences
- Further KLA's technical IP portfolio through generating patent filings
Qualifications
- Subject matter expert in Computer Vision
- Great teammate with excellent written and verbal communication skills.
- Passion for rapid prototyping algorithms using MATLAB or Python. Implementing algorithms in C++ software under Linux is highly preferred
- Familiarity with any of the following is a plus: Sensor Fusion, Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools
Minimum Qualifications
Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years
Base Pay Range: $163,700.00 - $278,300.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us or at +1- to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Postdoctoral Researcher, Artificial Intelligence (PhD)
Posted 4 days ago
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Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research, a research organization focused on making fundamental progress in AI. Fundamental AI Research (FAIR) conducts cutting-edge research to deepen our understanding of existing AI methods and advance the state-of-the-art. For this position, the applicant will engage with the supervisor and other researchers in Fundamental AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact. You will apply high standards to the research and identify highly impactful projects in a complex and unexplored domain. You will be gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Postdoc research areas may include Machine Learning, Computer Vision, Natural Language Processing, or other similar fields.Postdoc positions are one year fixed-term positions, and we have opportunities across several regions.
**Required Skills:**
Postdoctoral Researcher, Artificial Intelligence (PhD) Responsibilities:
1. Perform research to advance the science and technology of intelligent machines
2. Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda
3. Write and debug high-quality research code and research papers
4. Design and implement experiments to test research ideas on a variety of problems
5. High quality papers and present research at conferences
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
7. Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science or a similar field. Degree must be completed prior to joining Meta
8. Research background in Machine Learning, Natural Language Processing, Computer Vision
9. Experience solving analytical problems using analytic and quantitative approaches
10. Experience communicating research
11. Experience coding in C/C++, Python, C#, or other similar language
12. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
13. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
14. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
15. First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar).
16. Experience solving complex problems and comparing alternative solutions, trade-offs, and differing points of view to determine a path forward.
**Public Compensation:**
$117,000/year to $173,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Principal Product Manager - Artificial Intelligence
Posted 4 days ago
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Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.
**Role Summary**
Splunk is looking for an enthusiastic, and driven Principal Product Manager to drive the future of the next generation of AI capabilities across our product portfolio supporting our AI/ML Platform, tools and Agentic AI. In this role, you will be responsible for deep integration of generative AI and machine learning with a focus on unified security analytics, full stack observability and real-time visibility of streaming data. In this role, you will define the critical features and roadmap for bringing high-scale, high-performance AI to Splunk customers and app developers.
You will use your understanding and experience building products using Gen AI, LLMs and deep learning, and your ML expertise building anomaly detection systems. You should be comfortable working with MLOps, AIOps PyTorch, TensorFlow, MLflow and ONNX, and apply innovative ML capabilities to help Splunk customers complete their tasks with speed and efficiency. If you are adept at cross -team collaboration and have worked closely with engineers and data scientists to build AI products that drive meaningful and impactful business outcomes, this is the role for you.
You will work in the AI Product Management team as part of the Office of the CTO so a real appreciation of serving the needs of Security, AI, and Platform engineers is vital. Exposure to cross-functional AI integration is a plus.
You will merge customer value, business imperatives with attention to technical detail and collaborate with cross-functional execution teams to drive customer insights and inputs directly into the development process and the entire product life cycle. Ideally you have experience working directly with GTM partners and customers, especially design partners.
As we drive forward for the success of our customers, you will hold the team accountable to achieve goals of product quality and value.
**What you'll get to do**
As with any fast-growing company, day-to-day responsibilities will span the entire product life cycle, delivery pipeline and include deep interaction with customers, sales, and engineering, and Splunk's global partner organization.
+ Collaborate closely with your AI PM counterparts to deliver in depth AI integration across the entire product portfolio
+ Engage with customers, develop insights into what is possible, and uncover unarticulated needs to ensure customer success.
+ Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, design, TPM, and documentation.
+ Collaborate with QA, SRE, and release teams to plan, drive and implement product release cycles.
+ Collaborate with product marketing to support the creation of content.
+ Engage with Compliance, Legal, and Finance teams to ensure products meet security, legal standards as well as address financial goals (for example cloud margin)
**Must-have Qualifications**
+ 7+ years of proven success in product management.
+ Deep understanding and several years of experience in product delivery of AI services, machine learning platforms and products, and generative AI.
+ Solid understanding of infrastructure, networking, and security concerns in on-prem and cloud environments.
+ Actively maintain a view of how the AIOps market, competition and technologies are evolving, and factor it, as well as feedback from internal groups and customers, into the product strategy
+ Strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts and presentations.
+ Champion an atmosphere of continuous product improvement by serving as a customer advocate and collaborating closely with sales, support, engineering to make judgment calls that best serve customers and the business.
**Nice-to-have Qualifications**
+ Experience building AI capabilities at scale via platform services that serve multiple products with a focus on generative AI, machine learning, deep learning.
+ Experience delivering compelling products incorporating artificial intelligence as part of the technical solution with tangible results of customer value, adoption, consumption leading to business growth
+ Deep understanding of AI and cybersecurity market and competition.
+ Deep understanding of anomaly detection and its application to security and/or observability use cases
+ Continuously deliver results of product improvement through each stage of the product life cycle
+ Experience developing pricing strategy that met expectations and improved growth for the business
+ Strong negotiation skills paired with building trusting relationships within the team, the organization, customers and partners
+ Strong bias for action, creative thinking, innovation, and data-informed product decision-making.
+ Exposure to cloud infrastructure and agile software development
+ Passion for solving interesting technical problems and building enterprise products with intuitive user experience.
**Education**
Bachelor's degree or equivalent experience in a technical field (e.g. CS, CE); MBA or similar degree highly preferred
**Meet the Products and Technology Team**
Want to build security and observability products people love AND work with people as smart (and humble) as you are? Our products and technology team delivers digital resilience at enterprise scale with a self-service Splunk portfolio that offers unified security analytics, full stack observability and real-time visibility of streaming data. Learn more about the team, meet our leaders, and hear from Splunk technologists and engineers at splunk.com/careers/products-and-technology .
**Splunk is an Equal Opportunity Employer**
Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Base Salary Range - 152,600 - 266,000 USD
**Cisco is an Equal Opportunity Employer**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Apprentice Engineer - Artificial Intelligence / Machine Learning
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Apprentice Engineer - Artificial Intelligence / Machine Learning Apprentice Engineer - Artificial Intelligence / Machine Learning 1 week ago Be among the first 25 applicants Direct message the job poster from LinkedIn Senior Emerging Talent Recruiter at LinkedIn Apprentice Engineer – Artificial Intelligence / Machine Learning Mountain View, CA This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future. To learn more about the program and the application questions and timeline, please visit: careers.linkedin.com/reach. Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Searching for your dream job? At LinkedIn, we have developed an apprenticeship program that creates opportunity for every individual with the passion, potential, and drive to either develop or restart their career in engineering. We fundamentally believe top talent can come from anywhere, regardless of educational training or professional experience. REACH Program REACH is a multi-year program where individuals with passion for engineering will work in technical roles to build their skill set and gain the experience needed to become an Engineer at LinkedIn. The time each apprentice spends in this program will vary depending on their incoming skill set, experience, and progress through the program. The time in program is a one year minimum and a five year maximum in the apprenticeship. This program is designed for candidates who have non-traditional career paths and we strongly encourage those candidates to apply. This includes but is not limited to: candidates without Computer Science degrees who are self-taught, those that are re-entering the workforce, individuals switching careers, or those who have attended boot camp style courses focusing on machine learning or data science. Hybrid Work At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Artificial Intelligence/ Machine Learning Apprenticeship As an Apprentice Engineer, you will be placed on an Artificial Intelligence/ Machine Learning engineering team at LinkedIn developing cutting-edge machine learning models that serve millions of members. You will learn from fellow engineers and leaders and develop key skills applicable to a career in Artificial Intelligence/Machine Learning. Furthermore, apprentices are guaranteed a percentage of time to focus on their personal technical development, using both LinkedIn’s internal ecosystem and external educational opportunities. Is Artificial Intelligence/ Machine Learning a good fit for me? You might be a good fit for this apprentice role if you have strong quantitative and problem-solving skills, regardless of the areas in which you developed them or applied them. There are endless possibilities for the experiences that have prepared you for this apprenticeship. For example, you might be someone working in analytics or software engineering who has been wanting to switch to artificial intelligence/ machine learning. You might be someone with a background in social science who has applied quantitative methods in that arena. You might be someone whose hobby is thinking about improvements to sports statistics like expected goals, home runs, or team rankings. Job Responsibilities: • Contribute a unique perspective and creative approach to solving problems at LinkedIn • Continue to learn and develop artificial intelligence/ machine learning skills • Under the mentorship and guidance of seasoned LinkedIn engineers, produce high-quality software that is tested, code reviewed, and checked in regularly for continuous integration • Solve difficult problems with machine learning, write code to put those solutions into production or inform business decision making, and deliver with a sense of urgency and quality • Develop machine learning models that will serve our 740 million members on LinkedIn Basic Qualifications: • An undergraduate or graduate degree (bachelor’s, master’s or doctorate) in any field • Demonstrated history of independent problem solving, data-driven thinking, and quantitative skills. These skills may have been gained or demonstrated as part of a degree program or prior work experience. These do not have to be in a technology setting, but rather any situation in which you used math and code to help drive decisions or outcomes. • Demonstrated history of Artificial Intelligence/Machine Learning related projects. There is a wide range of examples that will qualify, including but not limited to: • Open-source contributions • Personal analytics or machine learning projects • Analytical, mathematical, or statistical work as part of a job or research Preferred Qualifications: • Understanding of CS concepts: variables, recursion, algorithms, data structures, object orientation, error handling, etc. Knowing these will make it easier for you to learn more complex software topics! • Knowledge of common machine learning techniques such as regression, clustering, and tree-based methods • Excellent collaborative and communication skills, and ability to clearly articulate your perspective • Entrepreneurial mindset to bring in a new and unique perspective to the team • Desire to learn and develop skills in the fields of artificial intelligence/ machine learning Suggested Skills: • Statistical Analysis • Machine Learning • Coding in Programming/scripting languages • Critical Thinking LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $82,000 to $09,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Application Requirements: Our application process is designed to give individuals the opportunity to show us a range of qualities we believe will make them successful engineers. This includes their drive and ability to learn, tenacity and work ethic, unique perspective and passion for engineering. As part of the application process, individuals are required to submit responses to the application questions and responses will be reviewed for completeness as well as content. To review the questions, including recommended length for each, please visit the role description at careers.linkedin.com/reach. Please note, resumes and LinkedIn profiles will NOT be considered as part of the evaluation for REACH. Therefore, please make sure that any information you would like us to know is highlighted in your application responses. We also know that tools like ChatGPT and others are widely used and can be helpful in organizing your thoughts. If you choose to use AI while writing your application, please make sure your responses reflect your own experiences, voice, and ideas. We're looking to understand your journey, interests, and baseline technical skills—and authenticity really helps us get to know you. Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Industries Technology, Information and Internet and IT Services and IT Consulting Referrals increase your chances of interviewing at LinkedIn by 2x Get notified about new Machine Learning Engineer jobs in Mountain View, CA . Software Engineer, AI Intern (Fall 2025) Software Engineer, AI Intern (Summer 2025) Mountain View, CA $1 5,400.00- 188,100.00 5 days ago Software Engineer, AI Platform - New Grad San Jose, CA 130,000.00- 180,000.00 6 days ago Software Engineer I (Full Time) United States San Jose, CA 98,600.00- 125,900.00 1 day ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA 120,000.00- 165,000.00 9 months ago New Grads 2025 - General Software Engineer San Jose, CA 120,000.00- 165,000.00 4 months ago Software Engineer (L4), Content & Business Products Full Stack Software Engineer - Post-training Palo Alto, CA 180,000.00- 440,000.00 20 hours ago Software Engineer(s) - New Grad (Fall 2025 Graduation) Sunnyvale, CA 117,000.00- 234,000.00 6 days ago Software Engineer 4 - TV & Web Player Platform San Jose, CA 142,400.00- 190,100.00 1 week ago Palo Alto, CA 140,000.00- 185,000.00 2 weeks ago San Jose, CA 133,900.00- 242,000.00 2 weeks ago Menlo Park, CA 56.25- 173,000.00 18 hours ago San Jose, CA 113,400.00- 206,300.00 1 week ago San Jose, CA 113,400.00- 206,300.00 4 days ago Mountain View, CA 188,000.00- 199,750.00 11 hours ago San Jose, CA 113,400.00- 206,300.00 1 week ago San Jose, CA 113,400.00- 206,300.00 1 week ago Frontend Software Engineer - University Graduate 2025 San Mateo, CA 120,000.00- 280,000.00 5 days ago Full Stack Software Engineer (L4), Product Localization Engineering San Jose, CA 100,500.00- 173,250.00 2 days ago Santa Clara, CA 150,000.00- 175,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Senior Software Engineer, Machine Learning and Artificial Intelligence
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About Mashgin
At Mashgin, we have developed a successful and innovative point-of-sale experience that uses computer vision and AI to make checkout nearly instantaneous. Our mission is to eliminate checkout lines so people can get back to their lives.
Our kiosks are currently serving customers in thousands of locations around the world, from major sports stadiums to convenience stores, from college campuses to corporate cafeterias. We are a series B startup with 10 years of progress, and were already profitable. And were just getting started.
We value autonomy of work, a relentless obsession with customer experience (both our customers and their end-customers), and a culture of respect and fun.
Position Summary
Mashgin is looking for a smart, driven engineer whos fascinated by the latest developments in ML/AI and is looking for the best areas to apply them. Youll work on a small dynamic team to design and implement state of the art deep learning techniques for Mashgin products. We have the unique opportunity to gather large, proprietary datasets from multiple industries where critical real-world problems have been identified. It will be you and your teams job to turn this data into automated solutions.
You Will Be- Developing solutions for real-world computer vision problems
- Working with the product team to come up with innovative ways to collect large data sets for training AI systems or generating equivalent synthetic data
- Finding the optimal balance between doing longer term research and applying research results to production code
- Researching and building state-of-the-art ML/CV algorithms to analyze 2D/3D image data
- 8+ years relevant coding experience
- B.S. or higher in Computer Science or related field
- Strong background in Machine Learning or Computer Vision
- Excellent knowledge of either Python or C/C++
- MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
- Strong understanding of ML techniques such as CNNs, supervised and unsupervised learning, optimization techniques, etc
- Experience with one or more of popular Deep Learning frameworks such as Caffe, TensorFlow, Theano
- Experience in a fast-paced work environment, shipping quality code quickly and iterating
- An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
- Excellent health, dental and vision insurance for you and your dependents
- 401k plan
- Flexible PTO policy
- Catered lunch in office with fully stocked snacks and beverages
- Pet insurance for your fur babies
- Voluntary life insurance plan
- Competitive salary and options in a small, rapidly scaling company
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin 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.
#J-18808-LjbffrDigital Assurance & Transparency - Artificial Intelligence - Senior Associate
Posted 3 days ago
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**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 40%
At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.
Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the AI Tech team you will lead teams and manage client accounts for successful project delivery. As a Senior Associate, you will analyze complex problems, mentor junior staff, and maintain standards while delivering technology-enabled, data-driven solutions. This role offers the chance to cultivate meaningful client relationships and employ strategic thinking using advanced technologies like AI and cloud solutions.
Responsibilities
- Manage auditing, consulting, and testing engagements with a focus on solution implementation
- Deliver innovative, technology-driven solutions utilizing data analytics
- Support strategic planning and execution of client projects
- Maintain knowledge of and compliance with current and emerging standards
- Enhance project delivery using firm methodologies, technology resources, and data visualization tools
What You Must Have
- Bachelor's Degree
- 2 years of specific professional experience in one or more of the following areas: AI/ML model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
- Experience with model evaluation frameworks, testing protocols, and/or trust standards such as NIST AI Risk Management Framework or responsible AI practices
- Familiarity with the data science / AI lifecycle and related data governance, data engineering, and model deployment disciplines as well as data science /AI development technologies
- Familiarity with AI concepts, including how use cases are being applied across business functions
What Sets You Apart
- Preferred Field(s) of Study: Computer Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance preferred
- Leveraging an understanding of fundamental and technological risks, processes, and internal controls related to transparency, reporting, and artificial intelligence
- Knowledge of NIST, ISO and/or other leading business and risk management frameworks for AI
- Designing and developing AI governance operating models, technical standards, policies and procedures
- Operating within essential internal processes of a professional services firm
- Demonstrating knowledge of legal and regulatory landscapes relevant to AI
- Managing projects assessing governance, risk, and control programs
- Leading AI/ML and emerging technology control efforts
- Familiarity with tensorflow, pytorch, or langchain coding frameworks and Cloud platforms
- Designing AI governance operating models and policies
- Coaching teams on emerging data technologies and analytics-driven assessments
- Translating technical concepts for non-technical stakeholders
- Familiarity with the data science and AI lifecycle
- Subject matter knowledge to support the development of thought leadership
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an?equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law?
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $72,000 - $212,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:
Artificial General Intelligence
Posted today
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At Amazon, we’re at the forefront of transformative AI, shaping the next generation of intelligent technologies. For over 25 years, we’ve been pioneering state-of-the-art AI and machine learning (ML) models to revolutionize customer experiences worldwide. Now, we’re on the cusp of a new era, where AI holds the promise to reshape society and business in unprecedented ways. As part of our world-class team of AI experts—scientists, engineers, researchers, product builders, and public policy experts—here, you’ll have the opportunity to unlock the next frontiers of Artificial General Intelligence (AGI). While the rapid advancements in Generative AI have captivated global attention, we see these as just the starting point. Our team is dedicated to pushing the boundaries of what’s possible, leveraging Amazon’s unparalleled ML infrastructure, computing resources, and commitment to responsible AI principles. And Amazon’s leadership principle of customer obsession guides our approach, prioritizing our customers’ needs and preferences each step of the way. We are looking for the brightest minds from a wide range of backgrounds and experiences. Join us in creating transformative AI solutions that will improve lives, solve global challenges, and open up new realms of possibility—from reinventing commerce and accelerating enterprise productivity to advancing universal agents and shaping the future of robotics. Are you ready to shape the future of AI? Responsibilities: Collaborate closely with talented Data Annotators and Scientists to help document and improve the workflows supporting cutting-edge AI models. Constantly assess model performance and make improvements. Contribute to the development of deeply customized solutions that enhance customer interactions. Qualifications: Experience in technical writing and documentation. Ability to work in a fast-paced, dynamic environment. Strong collaboration skills with cross-functional teams. Re-imagine what's possible with AI. Apply now. #J-18808-Ljbffr
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Senior Staff Business Systems Analyst, Sales Artificial Intelligence
Posted 4 days ago
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We are seeking a highly self-motivated, data-driven, and detail-oriented individual to join our 'AI For Sales' Center Of Excellence. This team utilizes advanced technologies to improve sales performance and customer engagement, spearheading the creation and deployment of AI applications for our Sales organization. The role entails defining the overarching AI strategy for the Sales organization, guaranteeing AI tools and systems are designed to streamline processes, enhance decision-making, and ultimately boost revenue and operational efficiency.
This position requires a strong background in both AI Technology and Sales Operations, as well as the ability to drive complex, cross-functional projects from concept to execution. You will be responsible for defining AI priorities that align with sales objectives, leading the development of AI-powered tools, and ensuring their successful adoption and ongoing optimization within the Sales team. As a result, this role requires a self-starter who is comfortable taking initiative, operating independently, and achieving results in a cross-functional environment. The ideal candidate possesses strong analytical skills and can translate findings into concrete automation and efficiency initiatives. Additionally, the candidate should be comfortable working in a fast-paced, ambiguous environment where they can adapt, prioritize, and execute business outcomes with operational rigor.
You will collaborate directly with cross-functional teams in Sales, Marketing, Product, and Analytics. This role requires end-to-end ownership of our AI For Sales objectives, either by leading initiatives directly or by influencing outcomes through others. Your strong relationship-building, influencing, and communication skills will help you succeed.
**What you'll bring**
? Bachelor's Degree in a numerate or business related subject (Business Management, Finance, Statistics, Finance, Computer Science, Information Systems, etc.)? 7+ years of experience in roles such as Product Management, Technical Product Management, Business Operations, or Consulting? Extensive experience in process design, standardization & continuous improvement, with the ability to translate business needs into actionable priorities? Track record of working directly with Internal Product teams on the design and implementation of internal tool development projects and/or 3rd party solutions? Proven experience in setting and executing AI strategies, ideally within the context of a sales or customer-facing function? Strong understanding of enterprise sales processes, CRM systems such as Salesforce, and tools with experience in implementing AI-driven solutions to enhance sales productivity and outcomes? Proven experience working independently, to manage multiple projectssimultaneously and to drive initiatives in a cross-functional environment? Excellent communication and leadership skills, with the ability to influencestakeholders and lead cross-functional teams? Proven stakeholder management experience - including managing multiple partners simultaneously, particularly across Sales and Product organizations? Proficient in data analysis and presentation tools with a knack for conveying complex information clearly to general audiences.
**How you will lead**
AI Strategy For Sales: Define and lead the AI strategy for Intuit's Sales organization, aligning with overall business goals and objectives? AI System Design: Oversee the design and integration of AI tools that enhance sales processes, such as lead scoring, sales forecasting, pipeline management, and customer insights. Ensure seamless integration of these tools into existing sales systems and workflows? AI Opportunity Identification: Identify key opportunities for AI-driven enhancements in sales processes, performance metrics, and customer engagement? AI Project Portfolio Management: Manage multiple AI projects simultaneously, overseeing timelines, resources and deliverables. Drive project prioritization, address portfolio risks and ensure that initiatives are completed on time and in line with business requirements? AI Project Execution: Lead the design, development, and deployment of top priority AI applications tailored to the sales function, defining business requirements, ensuring that solutions address core business needs and drive tangible outcomes in sales efficiency and performance? Performance Monitoring & Management: Establish KPIs to track the performance of AI applications, and continuously analyze their impact on sales outcomes. Use data-driven insights to make adjustments, continuously optimize and improve AI effectiveness over time? Thought Leadership: Stay up to date with the latest AI trends and technologies and share insights with senior leadership to continuously evolve the AI strategy in alignment with industry best practices.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:
Bay Area California $178,000 - 241,000
Southern California $161,500 - 218,500
This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ( ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Director Product Management (Artificial Intelligence Hardware) (Mountain View)
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Join to apply for the Director Product Management (Artificial Intelligence Hardware) role at Microsoft
Director Product Management (Artificial Intelligence Hardware)Join to apply for the Director Product Management (Artificial Intelligence Hardware) role at Microsoft
Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross team collaboration, with business insight and strategy?
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Join the Strategic Planning and Architecture(SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission.Microsoft delivers more than 200 online services to more than one billion individuals worldwide and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.
We are looking for a Director Product Manager (Artificial Intelligence Hardware) to join our team!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Collaboratewith customers and partner organizations to define future generations of Artificial Intelligence (AI) Hardware for Azure at Microsoft.
- Lead the strategic product vision, roadmap and product requirements for our next generations of AI hardware platforms.
- Identifyand prioritize customer needs, market opportunities, and competitive gaps, and translate them into clear and actionable product requirements and specifications.
- Drive executive decision making for new investments, including competitive analysis, program goals and business requirements, architectural concepts, risk management strategies, financial analysis, schedule and hardware strategy.
- Lead technical programs from concept to execution, collaborating with architecture, engineering and business teams to develop and drive end-to-end product development
- Develop and maintain a high level of technical proficiencyin AI workload requirements, AI technology landscape and AI Industry roadmaps.
- Engage with senior leadership, highlighting risksacross functional teamsand providing recommendations to support product level decisions.
- Operate effectively in ambiguity. Apply process where it creates value, and design process where it’s needed. Recognize the situations where each approach is most appropriate.
Required/Minimum qualifications
- Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development OR equivalent experience.
- 3+ years of experience working on AI systems as an architect or a product manager
- 7+ years of technical product management experience, including products within datacenter Hardware systems and/or Cloud infrastructure.
- 7+years experiencecreating product roadmap(s) from conception to launch, driving end-to-end program execution, defining product go-to-market strategy, and leading program direction discussions.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
- Bachelor's Degree AND 10+ years of experience in product/service/project/program management or software development OR equivalent experience.
- Understanding of several of the below areas: GPU Architecture, Scale Up and Scale out networking, Data Center Specifications, Model Architecture and System Reliability
- Experience leading teams in silicon, Hardware systems & Software ecosystem setup within technical contexts
- Ability to deal with disparate stakeholders in highly ambiguous situations and drive clear results and progress.
- Understanding and passion for program management including presentation skills and written communication; ability to build relationships and influence in a matrix organization; managing cross team deliverables including program costs, schedules, risks and issues mitigation, establishing process and framework for large scale collaboration.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications for the role until July 4th, 2025.
#AHSI #SPARC
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Seniority level
- Seniority level Not Applicable
- Employment type Full-time
- Job function Product Management and Marketing
- Industries Software Development
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#J-18808-LjbffrPrincipal Product Manager - Go-to-market Artificial Intelligence & Agents
Posted 4 days ago
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Join us to transform the way the world works.
This role is based in the SF Bay Area.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
The LinkedIn Business Platform (LBP) is the company's core monetization and customer engagement engine, enabling all of our core product & GTM teams to create and deliver best-in-class member and customer experiences. As the Principal Product Manager focused on GTM Artificial Intelligence & Agents, you'll lead the product vision, strategy, and execution across some of the company's most innovative and impactful AI products at scale. These include numerous AI assistants, advanced automations with AI Agents, AI quality initiatives, and ultimately AI-driven savings, scaling and revenue growth at scale. This role requires close collaboration with cross-functional partners from Product, Engineering, Data Science, Product Operations, Sales, Customer Support, Success and Marketing teams across LinkedIn's Products & Operations to deliver impactful solutions that drive customer success, employee productivity, and top-line revenue growth. Being part of a high-performance team, you will be expected to innovate and incubate new ideas and experiments in a fast-paced environment, quickly identifying successful solutions and scaling them across our channels.
You'll become the resident expert on GTM AI, gaining a deep understanding of the industry and our competitive landscape, specifically within our core use cases: Customer Support, Customer Success, Sales and Marketing. Positioned at the forefront of technological innovation, this role empowers you to advance our roadmap by leveraging existing technologies and inventing new solutions when necessary.
Responsibilities
+ Refine and execute the vision and strategy for LinkedIn's GTM Artificial Intelligence & Agents product portfolio.
+ Own and drive the GTM AI product roadmap as a lever to ensure LinkedIn achieves its broader business goals and strategic priorities.
+ Collaborate closely with Product, Engineering, Data Science, Product Operations, Sales, Support, Customer Success and Marketing teams to launch and scale impactful AI-driven features.
+ Educate and upskill cross-functional teams on emerging AI technologies, highlighting productivity enhancements and opportunities for adoption across product teams. .
+ Quarterback strategic, executive-sponsored asks related to our customer outcomes and key company priorities.
Basic Qualifications
+ BS/BA Degree in a technology related field OR equivalent experience
+ 8+ years of experience in product management or equivalent role
+ Experience both building 0-to-1 products as well as iterating on products with proven product market fit.
Preferred Qualifications
+ MS degree in a technology-related field
+ 10+ years of Product Management experience in a B2B & B2C context
+ Previous experiences building with LLMs and conversational interfaces
+ Experience building and launching products at scale, with a demonstrated ability to develop an ambitious product strategy and successfully execute.
+ Top notch communicator, who can influence others, rally cross-functional teams to align to and execute on a shared vision.
+ An innate sense of curiosity, a bias for action, and a strong desire to take initiative.
+ Ability to flex multiple skill sets depending on the needs of a given project or challenge (i.e. analytical thinking, sizing, data analysis, market positioning, comms authoring).
Suggested Skills
+ AI Output Evaluations
+ B2B Product Development
+ Product Strategy
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $173,000 to $280,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit .
**Equal Opportunity Statement**
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
+ Documents in alternate formats or read aloud to you
+ Having interviews in an accessible location
+ Being accompanied by a service dog
+ Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
**San Francisco Fair Chance Ordinance ?**
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
**Pay Transparency Policy Statement ?**
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates ?**
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: