Computer Scientist

Company: AdoTube
Company: AdoTube
Location: San Jose
Commitment: Full time
Posted on: 2023-12-16 05:28
Our CompanyChanging 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! What you'll do:Work on model sampling supporting the development of foundational deep learning modelsWork on the infrastructure for & contribute to the training, fine-tuning and usage of large language modelsContribute and lead the development of new breakthrough user experiences leveraging cutting edge ML modelsLead the productization of selected ML models into Adobe productsHelp advance code quality, code practices and code efficiency throughout the ML model development processCollaborate closely with ML Researchers, Product Deployment teams, and Machine Learning engineers to accelerate the productization of cutting-edge ML featuresLead projects from scoping requirements to launch, ensuring ongoing supportIdentify and resolve performance and scalability issuesStay updated with the latest test, development, and deployment practices, and actively share knowledge with the team and community​What you need to succeed: Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experienceStrong proficiency in Python and PyTorchSolid foundation in computer science fundamentalsExperience working with large and complex code bases, integrating with deep learning modelsExperience writing clean and maintainable codeExperience and track record in delivering ML powered product featuresFamiliarity with Agile and Lean development processesExcellent communication and collaboration skillsAbility to think creatively to debug and solve complex, hard-to-reproduce problemsNice to have: Expertise and experience in ML model sampling techniques.Note: Deep ML knowledge is not required for this role. We are specifically seeking a Senior Software Architect with interest & expertise in ML model sampling, and a track record in delivering breakthrough ML-powered user experiences.#FireflyGenAIOur 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 $135,200 -- $250,900 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 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.
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