Research Scientist

Job Description | Adobe MDSR Labs| Research Scientist u2013 Behavioral Sciences and Machine Learningu00A0

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Job Descriptionu00A0

Our Companyu00A0

At Adobe, you will be immersed in an outstanding work environment that is recognized around the world. Adobe has been consistently listed as Fortuneu2019s u201C100 Best Companies to Work Foru201D for 20 consecutive years. You will also be surrounded by colleagues who are dedicated to supporting each other's growth. If youu2019re looking to make a difference, Adobe's the place for you. Learn more about our employees career experiences on the Adobe Life blog and explore the valuable benefits we provide.u00A0

Changing the world through digital experiences is what Adobeu2019s all about. We give global brands everything they need to craft and deliver outstanding digital experiences. Weu2019re passionate about redefining how companies connect with customers across every screen.u00A0

Our goal is to recruit top talent and provide excellent employee experiences that prioritize respect and equal opportunity. We acknowledge that valuable insights can originate from any team member, including yourself.u00A0

Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratoryin the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to revolutionizehowbusinesses operate.As part of the research team, you will get an opportunityto turn your researchideas into successful productsand at the same time, disseminatethemat topconferences and journals.u00A0

Responsibilitiesu00A0

• Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, and Machine Learning.u00A0

• Collaborate with product teams to turn research advances into impactfulproducts.u00A0

• Design challenging evaluations related to creative intelligenceand marketing performance.u00A0

• Develop scalable synthetic data generation and evaluation techniques.u00A0

• Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources.u00A0

• Train models and run experiments to study data and model quality.u00A0

• Iteratively refine research experiments and clearly communicate insights to the team.u00A0

• Integrate core machine learning models into the Adobe Experience Managerand Adobe Experience Platform.u00A0

• Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production.u00A0

Requirementsu00A0

• Proven expertise in one or more of the following areas: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.u00A0

• Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR, etc.u00A0

• Hands-on experience and a track record of deploying solutions in production environments.u00A0

• Experience in deriving concrete conclusions and actionable insights from large datasets.u00A0

• PhD degree or equivalent experience in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.u00A0

• Ability to take research risks and solve hard problems independently.u00A0

• For senior positions, a minimum of seven years of post-PhD experience is required.u00A0

You Will Thrive In This Role If You:u00A0

• Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the teamu00A0

• Have a proven track record and an impulse for empirical research, answering complex questions with data.u00A0

• Are capable of leading ambitious projects and possess clear communication skills.u00A0

• Have familiarity with crafting quality research experiments and evaluations with rapid iterations.u00A0

• Have experience working in complex technical environments, improving research velocity.u00A0

• Possess a flexible analytic approach that allows for results at varying levels of precision.u00A0

• Have familiarity with relational databases and SQL.u00A0

• Bonus: Experience with large-scale data systems such as Beam or Spark.u00A0

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