Sr. Applied Scientist

Adobe

Actively hiring
San Jose, US Posted 51 days ago $216,400$313,300 / year

At a glance

AI generated

TL;DR

Join Adobe’s cutting-edge team as a junior engineer focused on enhancing the quality and controllability of generative multimodal models, contributing to the company's competitive edge in AI. Your daily tasks will include designing end-to-end training pipelines for image and video editing, identifying and addressing quality gaps through mid-training solutions, and developing scalable workflows for data curation and distributed training. You’ll collaborate closely with research, evaluation, and infrastructure teams to improve generative model performance. Ideal candidates have a strong background in pre-training, mid-training, and post-training of multimodal models, expertise in diffusion-based architectures like DiT, and experience with Vision-Language Models (VLMs) for semantic understanding. This role requires deep knowledge of modern AI techniques and the ability to mentor junior engineers while pushing technical boundaries in generative editing quality.

Skills

Python TensorFlow PyTorch Docker Kubernetes AWS CI/CD Git Prometheus Grafana PostgreSQL Redis Vision-Language Models Diffusion-based Architectures Contrastive Learning Multimodal Alignment Instruct Editing Data Curation Distributed Training

What you'll do

  • Design and implement end-to-end training pipelines for image and video editing.
  • Lead development of mid-training capabilities for generative multimodal models.
  • Identify quality gaps in generative models and propose solutions.
  • Develop scalable workflows for data curation and distributed training.
  • Systematize mid-training experimentation to reduce iteration costs.
  • Mentor junior engineers and raise the technical bar within the team.

What we're looking for

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or related field.
  • Proven experience in mid-training of large-scale multimodal models for image and video data.
  • Deep understanding of pre-training, mid-training, and post-training for generative models.
  • Expertise in diffusion-based architectures and conditional generation editing techniques.
  • Strong knowledge of Vision-Language Models (VLMs) and contrastive learning methods.
  • Ability to design scalable pipelines for data curation and distributed training.
  • Experience optimizing model inference and deployment for high-throughput environments.

Market check

Salary context

This $216,400–$313,300 range sits above 91% of similar postings on FindRole.

Peer median band

$116,300$225,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$135,000$209,000

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 290 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.

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