Adobe · 7 months ago
Lead Machine Learning Engineer, Performance and Scalability, Generative AI
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$162K/yr - $301K/yr
8+ years expAdobe is a software company that provides its users with digital marketing and media solutions. They are seeking a Lead Engineer to focus on Performance and Scalability for their Generative AI systems, responsible for optimizing high-performance, scalable AI pipelines that support millions of users worldwide.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Architect and optimize ML pipelines to support scalable inference and model deployment on cloud-based GPU infrastructure (e.g., AWS P5 instances)
Develop and maintain high-throughput serving pipelines for generative AI models, ensuring low-latency, high-performance execution
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 cloud-based ML workloads
Integrate scalable load testing frameworks to validate model inference performance under high-traffic conditions
Collaborate with infrastructure and applied ML teams to transition models from experimentation to production-ready, cloud-optimized deployments
Establish standard methodologies for scaling and cloud-native ML architectures, ensuring efficient deployment across multi-region cloud environments
Qualification
Required
8+ years of proven track record in building high-performance 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 large-scale 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 cloud-native architectures, autoscaling strategies, and fault-tolerant machine learning systems
Proficiency in GPU orchestration, CUDA, and accelerated inference techniques
Hands-on experience with profiling tools (e.g., Nsight, PyTorch Profiler, perf) for system performance analysis
Ability to work in a fast-paced, startup-like environment with multi-functional teams
Benefits
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
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Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
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