Our Company
Is this the role you are looking for If so read on for more details, and make sure to apply today.
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!
The Opportunity
We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality across Adobe's suite of creative products that radically simplifies typographic decisions and processes for our users.
Typography has been at Adobe's core since it was founded almost 40 years ago. Today, we have millions of Creative Cloud users who design with text across our apps.
Designing high impact text is one of the most important aspects of beautifully designed work, but it's also one of the most complicated and least understood areas of design.
The Adobe Fonts & Type team's goal is surfacing the power of fonts along with smart and intuitive typographic tools to make type simple.
What you'll do
- Conduct innovative research and development at the intersection of Generative AI and Typography.
- Design, architect and build data insight tools and models for improving Typographic layout with Generative AI.
- Convert a research idea / paper to code in Python and typical machine learning development toolkits.
- Work directly with Design and Product Management to iterate on and refine algorithms that power automatic typographic layout and styling.
- Coordinate with cross-functional teams to conduct evaluation studies with multiple iterations of algorithmic and generative intelligence models.
- Maintain and troubleshoot the production environment.
- Perform code reviews, code hygiene, bug triages and provide feedback on features, technology, architecture, designs.
- Write automation scripts for testing and for classifying training data for training generative models.
- Analyze and improve the efficiency and scalability of web applications.
- Embrace and extend modern development practices, testing methodologies, and tooling to ensure quality and performance in all phases of development.
What you'll need to succeed
- Excitement toward building the future of global typography tools.
- Experience in state-of-the-art Generative AI technologies, such as GAN and / or diffusion models.
- Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch.
- Masters or Ph.D. in Computer Science, AI / ML or related fields.
- Excellent communication and collaboration skills with teams distributed across the globe.
- A positive attitude toward resolving cross-team conflicts and shifting priorities in a fast-paced dynamic environment.
- Ability to work independently and take initiative.
- Comfortability in participating in R&D / prototyping projects and technical discussion.
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.
J-18808-Ljbffr
Sr. Staff Machine Learning Engineer, Ads Ranking
In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for the conversion modeling team. Lead the tech direction and responsible for the development of state-of-the-art applied machine learning projects for the ads conve...
Machine Learning Engineer - Search Recommendation, E-commerce
Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Optimize the recommender system, focusing on hyperscale machine learning models. ...
AIML - Sr. Machine Learning Engineer - ML Platform & Technology (MLPT)
Machine Learning Engineer - ML Platform & Technology (MLPT). Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models! We are looking for a very experienced machine learning enginee...
Machine Learning Engineer, TikTok Recommendation
Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;. The team is made up of machine learning researchers and engineers, who support and innovate on production recommend...
Machine Learning Engineer
Insight Global is looking for a Machine Learning Engineer to join a client's newest AI team in San Jose, CA. They will work with our top partners and run tests or simple models including LaMDA2 or Machine Learning models to ensure the system is stable and the software stacks are running smoothly. ...
Machine Learning Engineer - TikTok Location Based Service
Experienced in one or more of the following topics: Tensorflow, Caffe, MxNet, PyTorch or other machine learning frameworks. ...
Machine Learning Engineer, Planning, Prediction and Control
Develop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensure that the vehicle behavior is natural, safe, and smooth. Experience solving problems using Machine Learning with TensorFlow or equivalent tools. Experience in at least on...
Machine Learning Engineer / Sr Machine Learning Engineer, E-Commerce Governance - USDS
Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions an...
Machine Learning Engineer-Model Training Infrastructure
We are looking for Software Engineer - Machine Learning Training Infrastructure to join our team to support and advance that mission. The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our c...
Machine Learning Engineer, TikTok Core Recommendation & Algorithm
Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning products;. The team is made up of machine learning researchers and engineers, who support and innovate on production recomme...