Sr. Engineering Manager , Machine Learning

Our Company

Changing 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!

Senior Engineering Manager, Machine Learning – Adobe 

Location: Bangalore, India  

Team: Genuine Engineering 

Experience Level: 12+ years 

About the Role 

Adobe is in search of a Senior Engineering Manager, Machine Learning, to lead a high-impact team dedicated to building and deploying brand-new ML solutions. You will be responsible for guiding the team through the full lifecycle of machine learning projects, from research and development to scalable deployment. Collaborate with various teams, like product and engineering managers, to innovate and advance custom products. 

This role requires deep expertise in ML and AI, strong leadership skills, and a track record of successfully delivering machine learning systems at scale. You will nurture a culture of experimentation, mentor a hard-working team, and contribute to the ML strategy on the Genuine Engineering team. 

Prevent account sharing, fake accounts, trial abuse, and payment fraud with Adobe's Engineering Team solutions. Using machine learning, behavioral analytics, and anomaly detection, we proactively combat misuse while maintaining a seamless user experience. 

Key Responsibilities 

• Lead, mentor, and grow a team of ML engineers to develop and deploy pioneering ML models. 

• Own the end-to-end execution of ML projects, from research and prototyping to production deployment. 

• Collaborate with product teams to identify AI/ML opportunities and define technical roadmaps. 

• Ensure ML models are scalable, efficient, accurate and aligned with business goals. 

• Adopt standard methodologies in ML model training, evaluation, and monitoring to ensure high performance and reliability. 

• Work with infrastructure teams to optimize deployment and inference for ML models. 

• Stay ahead of advancements in AI/ML and bring innovative solutions to Adobe’s products. 

• Champion responsible AI practices, ensuring fairness, interpretability, and robustness in ML models. 

• Partner with leadership to align ML strategy with business objectives and give to long-term AI initiatives. 

Minimum Qualifications 

• proven track record in software engineering, with at least 5 years in machine learning and 3+ years leading teams. 

• Proficient in anomaly detection and fraud prevention, developing systems to identify account sharing, payment fraud, trial abuse, and synthetic identity fraud through behavioral analytics and real-time scoring models. 

• Bringing to bear experience in unsupervised and semi-supervised learning for anomaly detection, employing techniques like auto encoders, isolation forests, and graph-based fraud detection. 

• Experience applying NLP in fraud prevention, including fake account detection, identity validation, and abuse pattern recognition using transformer-based models. 

• Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, and PyTorch. 

• Proficiency in Python, with experience in cloud platforms like AWS, Azure, or GCP. 

• Experience developing large-scale data pipelines in Spark. 

• Strong background in MLOps, model optimization, and deploying ML models at scale. 

• Proven track record to mentor engineers and build high-performing teams. 

• Experience working with complementary teams to develop solutions for products. 

• Strong problem-solving skills and ability to navigate sophisticated technical challenges. 

Preferred Qualifications 

• Knowledge of graph-based ML, personalization, and ranking algorithms. 

• Familiarity with distributed computing frameworks (Spark, Ray, or Dask). 

• Experience in bringing research into production in the domain of fraud detection. 

Why join Adobe? 

Adobe is a leader in creativity and digital experiences. Work with our Engineering Team on AI/ML solutions to tackle fraud and ensure Adobe product integrity. Innovation, technical excellence, and AI/ML that creates positive change are important to us. If you are a passionate ML leader who thrives in solving sophisticated security and fraud detection challenges, we’d love to hear from you! 

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.