Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do <ul><li>Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques.</li><li>Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems</li><li>Collaborate with product management and engineering groups to develop new products and features.</li></ul>What You Need to Succeed <ul><li>PhD or MS degree in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required </li><li>0-2+ years of experience in specific skill/field(s)</li><li>Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods.</li><li>Proficient in one or more programming languages such as Python, Scala, Java and C</li><li>Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn</li><li>Knowledge and experience of working with relational databases and SQL</li><li>Strong analytical and quantitative problem-solving ability.</li><li>Excellent communication, relationship skills and a strong team player.</li></ul> Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools. We are especially looking for experience in video generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience. As an Applied Scientist at Adobe, you will be joining an outstanding team of applied researchers building the future of digital experiences. You will have the opportunity to develop novel ideas to advance the Creativity world through features in Adobe's products and reach millions of people worldwide! Job Responsibilities <ul><li>Conduct innovative research and development in Generative AI</li><li>Develop and transfer novel technologies to Adobe products</li><li>Research and develop novel large-scale foundation models in Generative AI</li><li>Collaborate with extraordinary researchers and engineers to bring research ideas to production</li><li>Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits.</li><li>Provide technical mentorship and guidance.</li></ul> What you'll need to succeed <ul><li>Masters or Ph.D. in Computer Science, AI/ML or related fields</li><li>Excellent communication skills and a great teammate</li><li>Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models</li><li>Strong hands-on experience working on image/video generation and image/video editing</li><li>Experience with large-scale generative model training</li><li>Preferred experience:</li></ul> <ul><li>Working with large-scale datasets</li></ul> <ul><li>Working with product teams on technology transfers</li><li>Good publication record in Computer Science, AI/ML or related fields</li></ul> #fireflygenai Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $118,500 -- $219,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools. We are especially looking for experience in video generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience.
As an Applied Scientist at Adobe, you will be joining an outstanding team of applied researchers building the future of digital experiences. You will have the opportunity to develop novel ideas to advance the Creativity world through features in Adobe's products and reach millions of people worldwide!
Job Responsibilities
Conduct innovative research and development in Generative AI

Develop and transfer novel technologies to Adobe products

Research and develop novel large-scale foundation models in Generative AI

Collaborate with extraordinary researchers and engineers to bring research ideas to production

Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits.

Provide   technical mentorship and guidance.

What you'll need to succeed
Masters or Ph.D. in Computer Science, AI/ML or related fields

Excellent communication skills and a great teammate

Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models

Strong hands-on experience working on image/video generation and image/video editing

Experience with large-scale generative model training

Preferred experience:

Working with large-scale datasets

Working with product teams on technology transfers

Good publication record in Computer Science, AI/  ML   or related fields

#fireflygenai
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $118,500 -- $219,100 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email     accommodations@adobe.com     or call (408) 536-3015.
Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

#J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools. We are especially looking for experience in video generation. We seek candidates with strong expertise in the field, as evidenced by peer-reviewed academic publications, combined with hands-on industrial research experience. As an Applied Scientist at Adobe, you will be joining an outstanding team of applied researchers building the future of digital experiences. You will have the opportunity to develop novel ideas to advance the Creativity world through features in Adobe's products and reach millions of people worldwide! <h3>Job Responsibilities </h3><ol><li>Conduct innovative research and development in Generative AI </li><li>Develop and transfer novel technologies to Adobe products </li><li>Research and develop novel large-scale foundation models in Generative AI </li><li>Collaborate with extraordinary researchers and engineers to bring research ideas to production </li><li>Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits. </li><li>Provide technical mentorship and guidance. </li> </ol><h3>What you'll need to succeed </h3><ol><li>Masters or Ph.D. in Computer Science, AI/ML or related fields </li><li>Excellent communication skills and a great teammate </li><li>Experience in state-of-the-art Generative AI technologies, such as GAN and/or diffusion models </li><li>Strong hands-on experience working on image/video generation and image/video editing </li><li>Experience with large-scale generative model training </li><li>Preferred experience: </li><ol><li>Working with large-scale datasets </li><li>Working with product teams on technology transfers </li><li>Good publication record in Computer Science, AI/ML or related fields </li> </ol> </ol>#fireflygenai Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $118,500 -- $219,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees. #J-18808-Ljbffr

Responsibilities TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. About the team Our team is responsible for developing next-generation chatbot and machine translation solutions to improve the TikTok Shopping experience across the world. We are currently looking for talented engineers that have a deep understanding of natural language processing and machine learning, especially ones with solid skills and experience of large language models, machine translation, and conversational AI. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2025. We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. Responsibilities - You will be responsible for developing and optimizing the intelligent customer service of TikTok shopping. This role will work closely with our product and operation teams to understand the intentions of our users, design solutions of experience excellence, and convey these solutions to our users conversationally, with the support of cutting-edge LLMs technology. You will have the chance to develop NLP models (like text classification, machine reading, summarization) and prediction models (like question prediction and chatbot action prediction) to achieve the above goals. - You will be responsible for developing and optimizing the machine translation service of TikTok shopping to better support cross-region product listing, buyer-seller communication, and commenting. You will have the chance to develop machine translation models for the conversational environment and text generation models from multi-modality inputs. - You will be responsible for developing and optimizing the multi-modal AIGC model for product copywriting, including product title, selling points, description and live broadcast script creation etc. You will have the chance to apply cutting edge AIGC models to save human effort and improve business performance. About the job Responsible for the NLP-related research and development, mainly including: - Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model. - Building the prediction model by mapping the shopping journey of our users to chatbot actions, including suggesting common question-answers and transferring the user to human agent, with cutting-edge prediction models (like Boosting, deep CTR). - Building the generation model by understanding business requests, exploring proper instructions, developing high-quality data, and finetuning a language model of billions of parameters (e.g., 13B, 60B). - Working closely with our product and operation teams to quantitatively understand the impact of our chatbot and continuously bridge the business improvement action to model optimization action. Qualifications Minimum Qualifications -Currently pursuing a master's degree with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. - Large language models, natural language generation, machine translation, question answering, machine reading, information extraction, text mining and classification etc. - Work experience in e-commerce or the Internet industry is preferred. - Practical experience in NLP (dialogue system, machine translation, nlp-related projects in IR/Ads system, etc.) are preferred. - Familiar with at least one computer programming language, including but not limited to go/python/Java. - Experience of big data development, including but not limited to hive, spark - Candidates who have published high-quality papers are preferred, including but not limited to ACL, EMNLP, COLING, AAAI, IEEE TASLP, etc. TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2.

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Applied Scientist Jobs in San Jose, CA

Applied ScientistDecember 21, 2024

Applied ScientistDecember 11, 2024

Applied ScientistDecember 10, 2024

Applied ScientistDecember 9, 2024

Applied Scientist Graduate Tiktok Ecommerce Ai Customer Start MsDecember 4, 2024