Machine Learning Engineer (Mid-Level)
Machine Learning Engineer (Mid-Level)
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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 Opportunity
We are building foundational services and platforms to enable AI at scale within Adobe Experience Manager (AEM) and Content AI. Our focus is on applying machine learning techniques from advancedretrieval-augmented generation (RAG)to personalization and customer behavior prediction to power intelligent features that improve user experience and business outcomes.
We are looking for ahands-on Machine Learning Engineerwho is eager to explore evaluate and productionize applied ML techniques. This role is ideal for someone with hands-on ML experience eagerness to experiment with applied AI and a good grasp of core software engineering principles.
You will partner with the business units to build and scale data products that address challenging business problems for Adobes enterprise customers in a direct co-innovation way. You will research develop and deploy large-scale machine learning solutions for business.
What you will do
Explore and implementadvanced RAG techniquesand other applied ML methods to improve content relevance and answer quality.
Contribute toexperiments in customer behavior and preference prediction evaluating different approaches.
Build and maintaindata pipelinesto preprocess enrich and serve data for ML-driven features.
Fine-tune and integrateexisting ML modelsinto production systems (rather than building models from scratch).
Work with engineers and product managers to design ML-driven solutions aligned with product needs.
Contribute tomonitoring evaluation and iterationon deployed ML features.
What you need to succeed
B.S. or M.S. in Computer Science Engineering Applied Mathematics or related field or equivalent practical experience.
Proficiency inPythonand common ML/DS libraries.
Experience withapplied ML techniquessuch as information retrieval embeddings recommendation systems or NLP.
Experience working with both structured and unstructured data (documents text logs etc.).
Basic understandingof software engineering practices (e.g. testing version control CI/CD containerization).
Good to have aptitudes
MLOps exposure(model deployment monitoring experiment tracking).
Experience with vector databases search engines or embedding-based retrieval.
Familiarity with distributed compute frameworks (Spark Ray).
Knowledge of personalization recommendation systems or customer behavior modeling.
Exposure to REST APIs Docker Kubernetes.
What we offer
Opportunity towork on applied AI scenariosthat directly impact enterprise-scale products.
A collaborative environment focused on experimentation and innovation in search personalization and AI-driven user experiences.
Growth opportunities into advanced ML engineering and MLOps practices as our AI initiatives expand.
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 .
Required Experience:
Manager
Employment Type
Full-Time
