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!

Seeking a highly skilled and motivated Machine Learning Engineer to join our growing team. We are looking for a tenured software engineer who will be responsible for accelerating the enablement of amazing on-device ML experiences. This is a unique opportunity to work on powerful new technologies and contribute to the ecosystem.  In this role, you will work closely with senior leaders bringing cutting-edge AI experiences to our users by enabling the deployment of state-of-the-art machine learning models onto devices. You will be responsible for the conversion, optimization, and deployment of machine learning models. 

Model Conversion:

• Convert models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms.

Model Optimization:

• Employ cutting-edge techniques, such as quantization and sparsity-induction, to compress and accelerate large models (e.g., LLMs) for optimal performance on resource-constrained devices.

• Analyze and optimize models for efficient execution on Apple GPUs, ANEs, NPUs.

• Diagnose performance bottlenecks and collaborate with hardware architecture teams to co-design solutions for improved latency, power consumption, and memory footprint.

Model Deployment:

• Collaborate with application developers to integrate optimized models into applications, ensuring seamless user experience.

• Analyze the impact of optimization techniques on model quality by partnering with modeling and adaptation teams across diverse product use cases.

• Proven programming skills with standard machine learning tools such as Python, C/C++,  PyTorch, and TensorFlow (5+ years of experience). Experience with some formats like CoreML, ONNX, TensorRT, and TensorFlow.JS

• 10+ years of proven industry experience in related fields

• Solid understanding of state-of-the-art deep neural network (DNN) optimization techniques, their translation to hardware acceleration architectures, and system performance (compute/memory) tradeoffs. Model optimizing techniques like quantization etc. 

• Experience building APIs and/or core components of machine learning frameworks.

• Strong problem-solving, critical thinking, and collaboration skills.

• Excellent communication skills, as this role requires working closely with vendor partners to bring proposed technical changes back to their platforms.

• Preferred but not must have, hands-on experience in digital imaging techniques and LLM.

• Bachelor's, or Master's, in Computer Science, Machine Learning, or a related field.

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.

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.
 

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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.