Summary :
The Data and Machine Learning Innovation (DMLI) team employs ML / HW / SW co-design to achieve best-in-class performance and energy efficiency for numerous use cases that deploy neural networks.
We seek a generalist to help define and implement features that would be realized in next-gen neural accelerators. Our team is comprised of HW, SW, and ML engineers working together in the area of Efficient ML.
Our charter is to push the frontiers of perf and power for AI inference.As a co-design engineer, you will be accountable for bridging the gap between ML and devices.
This including working with ML, computer architecture and SW teams to understand the trade-offs from various viewpoints when it comes to ML inference, keeping abreast of advancements in the ML efficiency techniques space particularly for Generative AI, and come up with novel solution that addresses the ever growing needs for the future ML workloads.
On a day-to-day basis, your responsibilities include but not be limited to : architecting energy-efficient hardware designs, implementing changes in an in-house simulator, implementing new features in an in-house compiler and working with ML engineers to optimize their networks for HW acceleration.
Our ideal team member is courageous when it comes to trying new things, is adept at reasoning about systems performance, and is willing to iterate on ideas.
We value team members with strong communication skills with experience working cross-functionally with HW, SW, and ML teams.
Key Qualifications : Description :
Description :
As a member of this team, you will use your background to : - Work with ML experts to co-design hardware and software solutions that further improve efficiency of neural workloads at inference time - Implement features in our simulation engine and compiler for next-gen accelerators - Benchmark and diagnose performance bottlenecks of deep learning models - Work with a variety of partners from all parts of the stack from Apps to Compilation, HW Arch, and Silicon Validation
Additional Requirements :
AI/ML Technical Lead
Ability to build, deploy, monitor, and maintain Machine Learning models which could be stand alone or be part of AI Products. Design, build, and maintain scalable and robust data pipelines and architectures to support data collection, transformation, and integration from various sources. Facilitate ...
AIML - ML Engineer, Machine Learning Platform & Infrastructure
AIML - ML Engineer, Machine Learning Platform & Infrastructure. We take full end-to-end ownership of our services, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. You’ll also receive benefits including comprehensive med...
Software Engineer - AI/ML, AWS Neuron Distributed Training - Multimodality
The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Our org covers multiple disciplines including silicon engineering, hardware design and verification, so...
Senior AI/ML Engineer - Remote
ML to solve problems in natural language processing (NLP), computer vision (CV), multimodal RT processing, and/or other AI domains. Collaborating with the Optum AI team and fellow scientist and engineers. California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Rhode Island, Washingt...
Scientist I - Computational Biologist / AI/ML Researcher
Help to establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems. Help establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems....
Senior Director of Engineering - AI/ML Network Software (JoinOCI-Leader)
As a Senior Director of the software engineering division, you will apply your extensive knowledge of software architecture to lead software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to current and future des...
AIML - ML Engineer, Safety & Red Teaming
Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle - Develop models, models, and tools to interpret and explain failures in language and diffusion models - Build and maintain human annotation and red teaming p...
Software Engineer in ML Systems Graduate (AML - Machine Learning Systems) - 2024 Start (BS/MS)
The following experiences will be a big plus: - GPU based high performance computing, RDMA high performance network (MPI, NCCL, ibverbs);-Distributed training framework optimizations such as DeepSpeed, FSDP, Megatron, GSPMD- AI compiler stacks such as , XLA and MLIR;- Large scale data processing and...
PR Manager, AI & ML
Amazon Web Services (AWS) seeks a creative, self-motivated, high-judgment, well-connected and experienced public relations professional to drive communications programs for its growing portfolio of artificial intelligence (AI) and machine learning (ML) services. The AWS AI and ML PR Manager partners...
Principal Product Marketing Manager, AI/ML + PaaS
This role will develop compelling content to help customers understand the value, and drive marketing programs to spread the message globally. What We'll Expect From You:Bachelor's degree in a technical field, such as computer science, engineering or mathematics. You'll be a part of a cutting-edge t...