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!
The Opportunity
Adobe is looking for multiple Machine Learning Engineers from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers.
Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale.
You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven.
What you'll Do
Partner with Adobe Research to develop cutting edge models!
Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying on Cloud services, CICD, etc.
as well as implementing ML- and LLM-Ops best practices.
Engage in the product lifecycle, design, deployment, and production operations.
Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.
What you need to succeed
The ideal candidate will have the following background :
PhD or MS degree in Computer Science, Data Science or related field required.
5 to 10 years of applied research experience in software industry / academic research with experience in developing, evaluating ML models, and deploying models into production.
Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods;
ability to quickly learn new skills and work in a fast-paced team.
Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure / AWS.
Fluent in at least one deep learning framework such as TensorFlow or PyTorch.
Experience with LLMs and emerging area of prompt-engineering.
Recognized as a technical leader in related domain.
Experience working with both research and product teams.
Excellent problem-solving and analytic skills
Excellent communication and relationship building skills.
Our compensation reflects the cost of labor across several geographic markets, and we pay differently based on those defined markets.
The pay range for this position is $118,500 $219,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC base + commission), and short-term incentives are in the form of sales commission plans.
Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Machine Learning Research Engineer
Understanding of advanced machine learning techniques like self-supervised learning and reinforcement learning. Machine Learning Research Engineer. As a Machine Learning Research Engineer, you will be at the forefront of developing cutting-edge AI models for search. Experience developing and trainin...
Machine Learning Engineer - Search Ads
Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. Participate in the development and iteration of Ads algorithms by using Machine Learning. We are looking for candidates who brave difficulties, share a passion for t...
Machine Learning Engineer II
We are looking for a Machine Learning Engineer with a specialization in ML infrastructure and deep learning architecture. Collaboration: Work closely with our talented team of machine learning engineers, data scientists, and software engineers to integrate your solutions into our platform seamlessly...
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 Research Engineer
We’re looking for a Machine Learning Research Engineer who thinks crazy ideas are normal, doesn’t take ‘No’ as an answer, and thrives on the bursts of dopamine that come with startup responsibilities. As a Machine Learning Research Engineer, your ultimate goal will be to build AI systems that deeply...
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. ...
Machine Learning Engineer (Motion Planning)
At 42dot, our team of skilled Machine Learning Engineers is dedicated to pioneering cutting-edge solutions in Motion Planning algorithms. Deep understanding and practical experience in learning self-driving systems and deep learning models. Work with Perception/Planning engineers to improve self-dri...
ASIC Power Engineer, Cloud-Scale Machine Learning Acceleration team
As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. ASIC Power Engineer, Cloud-Scale Machine Learning Accele...
Staff Machine Learning Engineer
PayPal is seeking a talented Staff Machine Learning Scientist to join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. With a strong background in Machine Learning and practical experience in building and implementing large scale ...
Senior Software Engineer, Machine Learning, Google Workspace
ML/AI algorithms and tools, deep learning and/or natural language processing. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from...