Machine Learning Engineer 4
Machine Learning Engineer 4
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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 Challenge:
Search Discovery and Content AI (SDC) is a cornerstone of Adobes ecosystem enabling creative professionals and everyday users to access discover and demonstrate a wide array of digital assets and creative content including images videos documents vector graphics and more. With increasing demand for intuitive search contextual discovery and seamless content interactions across Adobe products like Express Lightroom and Adobe Stock SDC is evolving into a generative AI powerhouse.
This team develops innovative solutions for intent understanding personalized recommendations and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies you will help redefine the discovery experience and drive user success. If working at the intersection of machine learning generative AI and realtime systems excites you wed love to have you join us.
Responsibilities:
As a Machine Learning Engineer on the SDC team you will develop and optimize machine learning models and algorithms for search recommendation and content understanding across diverse content types. You will build and deploy scalable generative AI solutions to enable intelligent content discovery and contextual recommendations within Adobe products. Collaborating with multifunctional teams you will integrate ML models into production systems ensuring high performance reliability and user impact. Your role will involve researching designing and implementing pioneering techniques in natural language understanding computer vision and multimodal learning for content and asset discovery. You will also contribute to the endtoend ML pipeline including data preprocessing model training evaluation deployment and monitoring while pushing the boundaries of computational efficiency to meet the needs of realtime largescale applications. Partnering with product teams identify customer needs and translate them into innovative solutions that prioritize usability and performance. Additionally you will mentor and provide technical guidance to junior engineers and multifunctional collaborators driving excellence and innovation within the team.
What Youll Need to Succeed:
Bachelors or equivalent experience advanced degree such as a Ph.D. in Computer Science Machine Learning Data Science or a related field.
69 years of industry experience building and deploying machine learning systems at scale.
Proficiency in programming languages such as Python (for ML/AI) and Java (for productiongrade systems).
Strong expertise in machine learning frameworks and tools (e.g. TensorFlow PyTorch).
Solid understanding of mathematics and ML fundamentals: linear algebra statistics optimization and numerical methods.
Experience with deep learning techniques for computer vision (e.g. CNNs transformers) natural language understanding (e.g. BERT GPT) or multimodal AI.
Consistent track record of delivering ML solutions to production environments optimizing performance and ensuring reliability.
Knowledge of largescale distributed systems and frameworks (e.g. Kubernetes Spark Hadoop).
Strong problemsolving skills and the ability to innovate new solutions for complex challenges.
Excellent communication and collaboration skills to work efficiently in a fastpaced multifunctional environment.
NicetoHaves:
Experience with generative AI (e.g. Stable Diffusion DALLE MidJourney) and its application in content creation or discovery.
Knowledge of computational geometry 3D modeling or animation pipelines.
Familiarity with realtime recommendation systems or search indexing.
Publications in peerreviewed journals or conferences in relevant fields.
Why Join Us
Be part of a dynamic innovative team shaping the future of AIpowered creative tools.
Work on impactful largescale projects that touch millions of users daily.
Enjoy the benefits and resources of a leading global company with the agility of a startup environment.
Adobe is proud to be anEqual Employment Opportunityemployer. 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 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 emailor call (408).
Employment Type
Full-Time
