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! The Opportunity:Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years. At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe.We are hiring for a critical role - the first data scientist on the firefly analytics and data science team. For us to be even more customer centric, we want to understand the product features that delight the customers and bring them back to the product and we want to understand the optimum customer journey(s). This will inform future roadmap, strategy for Firefly and fuel its rapid adoption and usage!Are you passionate about the intersection of AI & creativity, enabling data driven decision making, a systems & design thinker and thrive in a dynamic and innovative environment If yes, we have an exciting opportunity for you!What you’ll do:Develop machine learning models at scale from inception to business impact.Apply data mining, NLP, and machine learning (such as supervised/unsupervised, causal-ML, Bayesian learning, reinforcement learning, or deep learning) to real-world problems and datasets.Work closely with product managers, engineers, and other cross-functional teams to identify business opportunities and develop data-driven product initiatives.Analyze large data sets using statistical techniques to generate insights and make predictions.Have a very strong product mindset and proactively ideate, design, improve and automate relevant data products.Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.Communicate findings and insights to both technical and non-technical stakeholders through clear and concise reports, visualizations, and presentations to gain alignment and drive business actions.Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.Apply machine learning to generate customer behavior segmentation and deliver personalized user experience.What you’ll need to succeed:BS or MS or PhD in statistics, applied mathematics, computer science, engineering, economics, physics etc. or equivalent practical experience.5+ years of industry experience with data science.3+ years of hands-on expertise in machine learning (supervised/unsupervised, causal, Bayesian, reinforcement or deep learning).Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.Proficient in NLP techniques, explainable AI, and ML frameworks.3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure).Strong proficiency in querying and manipulating large datasets using SQL-like languages on cloud (Databricks, Spark-SQL, Airflow).Expert in one or more data science tools such as Pandas, NumPy etc.Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.Experience crafting dashboards in Tableau or PowerBI.Ability to support multiple ongoing projects in a fast-paced environment.Excellent communication and relationship building skills.Nice to have:Experience with Adobe Analytics.Experience with A/B testing and sampling methods.#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 $127,300 -- $229,300 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.
View Original Job Posting