Senior ML Engineer, Platform & Data

Key Skills

GPUs, Kubeflow, Machine learning techniques, MLflow, Python Programming, PyTorch

Job Description

The Opportunity

Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.

At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.

What you will Do 

• Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloud

• Implement and optimize distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for GPU optimization methods such as FP8, FSDP and model parallelism

• Write high quality, product level code that is easy to maintain and test following standard methodologies

• Collaborate closely with ML Researchers and Machine Learning Engineers to accelerate the training of the cutting-edge ML models

• Keep track of the latest innovation in academia and open-source community to implement rapid adoption of pioneering technologies to improve the performance of the ML platform

• Help train better models by improving orchestration and scheduling, scaling the number of jobs, faster experimentation with AutoML and similar

• Collaborate with data scientists and ML researchers to streamline the model training pipeline and ensuring efficient resource utilization

• Drive innovation in infrastructure practices to support pioneering machine learning research and development

What you need to succeed 

• PhD or Master’s in computer science or related field and 5+ years relevant industry experience.

• Proven proficiency with Python and developing systems, frameworks and SDKs

• Experience with infrastructure and understanding of model serving, training, orchestration, and management of GPU resources

• Experience with machine learning and distributed Pytorch

• Strong critical thinking, analytical and quantitative problem-solving ability

• Excellent communication, relationship skills and a strong teammate

While not required, it’s an added plus if you also have:

• Experience with KubeFlow, MLFlow, Ray, SageMaker, or similar

• Experience with Nvidia HPC

• Experience with Pytorch distributed, MPI, Megatron, Horovod and other AI training frameworks

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $170,900 -- $325,200 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.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

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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