Lead Machine Learning Engineer Performance and Scalability Generative AI
Lead Machine Learning Engineer Performance and Scalability Generative AI
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$ 162000 - 301200
1 Vacancy
Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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!
About the Role
Adobe Firefly is seeking a Lead Engineer to focus on Performance and Scalability for our Generative AI systems powering flagship products like Photoshop Illustrator Express and . In this senior role you will be responsible for optimizing highperformance scalable AI pipelines supporting millions of users worldwide.
You will work closely with machine learning researchers infrastructure engineers and applied scientists to ensure that generative AI models are efficiently deployed scaled and monitored without directly implementing model training quantization or tensor parallelism.
Responsibilities
Architect and optimize ML pipelines to support scalable inference and model deployment on cloudbased GPU infrastructure (e.g. AWS P5 instances.
Develop and maintain highthroughput serving pipelines for generative AI models ensuring lowlatency highperformance .
Enable model serving optimizations by designing systems that support tensor parallelism quantization distillation and caching in collaboration with ML research teams.
Develop automated monitoring and profiling tools to track system efficiency detect performance regressions and optimize resource utilization.
Optimize GPU resource allocation and orchestration across cloudbased ML workloads.
Integrate scalable load testing frameworks to validate model inference performance under hightraffic conditions.
Collaborate with infrastructure and applied ML teams to transition models from experimentation to productionready cloudoptimized deployments.
Establish standard methodologies for scaling and cloudnative ML architectures ensuring efficient deployment across multiregion cloud environments.
Qualifications
8 years of proven track record in building highperformance ML infrastructure and scalable AI systems.
MS or PHD in computer science or related field.
Strong programming skills in Python and C with expertise in building ML pipelines and model deployment infrastructure.
Experience deploying largescale ML models in cloud environments including AWS GPU instances Kubernetes Ray or similar.
Experience with model conversion and optimization frameworks like ONNX and TensorRT as well as AOT compilation techniques.
Experience with cloudnative architectures autoscaling strategies and faulttolerant machine learning systems.
Proficiency in GPU orchestration CUDA and accelerated inference techniques.
Handson experience with profiling tools (e.g. Nsight PyTorch Profiler perf for system performance analysis.
Ability to work in a fastpaced startuplike environment with multifunctional teams.
Why Join Us
Firefly is Adobes groundbreaking family of AI models crafted to transform content creation in our products. Join us to shape the future of creativity and enhance pipelines for millions of users in Photoshop Illustrator and Premiere Pro. This is a highly strategic and visible role where youll have the chance to create a significant impact on the future of generative AI at Adobe.
#FireflyGenAI
At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm 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 anEqual Employment Opportunityand 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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Employment Type
Full-Time
