Sr. Applied Scientist

About the Role: This role targets excelling talent needed for key product areas, requiring significant domain expertise to accelerate critical initiatives . You will be expected to materially improve the quality and controllability of Adobe’s generative multimodal models . This involves strengthening Adobe’s competitive position in generative AI quality and alignment through sustained improvements in mid-training capabilities . Key Responsibilities: · Design and implement end-to-end training pipelines to build and improve editing quality for both images and videos. · Lead core development for specific mid-training areas (e.g., image to image and image to video editing), while aligning with broader team strategy. · Identify quality gaps in generative models and propose targeted mid-training solutions. · Develop scalable workflows for data curation, data quality improvements, and distributed training. · Increase engineering velocity and reducing iteration cost by systematizing mid-training experimentation and deployment. · Partner closely with research, data, evaluation, infrastructure, pre-training and post-training teams to push the editing quality for both images and videos. · Mentor junior engineers and contribute to raising the technical bar of the mid-training team. Qualifications & Requirements: · Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related field preferred. · Proven track record in mid-training or continual pre-training of large-scale multimodal models, specifically on cross modality for image and video data. · Deep understanding of pre-training, mid-training and/or post training for multimodal generative models. · Deep understanding of modern diffusion-based architectures (DiT) and conditional generation and editing, e.g., instruct editing, to drive precise structural and temporal control in production environments. · Strong expertise in Vision-Language Models (VLMs), including experience with contrastive learning, multimodal alignment, and leveraging VLM-based encoders to improve semantic understanding in generative tasks. · Ability to design and implement scalable pipelines for data curation, data quality control, and distributed training in collaboration with data and infrastructure teams. · Experience optimizing model inference and deployment for high-throughput product environments, ensuring a balance between generative quality and computational efficiency. · Since this is junior role, we need the role has strong publications experience and previous industry level intern experience About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sex ... (truncated, view full listing at source)