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Member of Technical Staff – Machine Learning. Build and scale machine learning systems that power real healthcare products.

Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Member of Technical Staff – Machine Learning. Build and scale machine learning systems that power real healthcare products.

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. Minimum Qualifications: - Currently pursuing a Bachelo

In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SOCs achieve the optimal Power, Performance, and Area (P

You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. Strong proficiency in Python and experience with machine learning frameworks such as T

AML-MLsys combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI In our team, you'll have the opportunity to b

By exploring the frontiers of AI/ML and intersecting fields, the Machine Learning and Inference Research team turns these opportunities into tangible benefits for our members and our business. The Machine Learning and Inference Research team is a dedicated research team building up Netflix's technic

Senior Software Engineer, Audio Machine Learning. Be responsible for end-to-end ownership of machine learning models and associated data sets, from design, to prototype, training, evaluation, and optimization.

Machine Learning Co-Design Researcher.

The Applied Machine Learning - Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The Seed-Infra team combines ML system engineering and the art of machine learning to develop and maintain massively distributed ML training and Infer

Our research focuses on the next frontier: developing self-improving machine learning systems that leverage AI to optimize and enhance AI itself. Only candidates with a PhD (or close to completion) in machine learning, computer science, neuroscience, mathematics, statistics, physics, or related fiel

As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. As a member of the Cloud-Scale Machine Learning Accelera

Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models. Hands-on experience with PyTorch and other leading machine learning frameworks (PyTorch required). Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist.

Although we build and deploy machine learning chips, no machine learning background is needed for this role. Description custom silicon chips live at the heart of AWS machine learning servers, and this team builds the backend software that runs these servers. Your team (and your software) won't be d

Knowledge and experience with modern machine learning technique and algorithms (including NLP and OCR), workflows and pipelines to train and build models. We are looking for a motivated and creative Researcher with Machine Learning expertise to join our team to research, design, and develop innovati

Senior Software Engineer - UI - Applied Machine Learning.

We are committed to making fundamental advances in artificial intelligence and machine learning technologies that can be applied to all aspects of Monetization, including but not limited to, ranking, retrieval, supply, model architecture, representation learning, optimization, and generally a deep u

As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. As a member of the Cloud-Scale Machine Learning Accelera

Are you passionate about applying advanced machine learning techniques to solve real-world problems? Expedia is seeking a Director of Machine Learning Science (MLS) to lead our team of scientists dedicated to our traveler facing experience. You have 12+ years experience in Machine Learning Science.

Research Scientist, Machine Learning (PhD) Responsibilities:. Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields. Please note tha

At least 8 years of industry experience in machine learning, optimization algorithms, and/or deep-learning techniques. Our focus is on machine learning and AI in information retrieval, covering query intent and content comprehension, as well as the ranking and scoring of creative assets and professi

Senior Software Engineer - XR Spatial Machine Learning.

Bachelor's degree in computer vision, computer science, machine learning, or equivalent technical background with exceptional demonstrated impact. Proficient in prototyping research ideas using popular deep learning frameworks.

By exploring the frontiers of AI/ML and intersecting fields, the Machine Learning and Inference Research team turns these opportunities into tangible benefits for our members and our business. The Machine Learning and Inference Research team is a dedicated research team building up Netflix's technic

Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the pla

In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. Solid background in Machine Learning and Signal/Image/Video Processing. We are looking for a highly self-motivated and enthus

The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. Our dynamic internship experience blends hands-on lear

Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems. Experience building machine learning models or LLMs. You'll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machi

Senior Software Engineer, Machine Learning. We seek an outstanding, creative, and passionate Senior Machine Learning Engineer to join Roku's Recommendation Team. Machine Learning to concrete problems at a large scale.

Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton2 processors. Today this includes: Graviton, driving innovation for general purpose compute; Nitro

Join the Sensing and Connectivity team to work on Location Technologies that power critical experiences in Apple products.We are seeking a highly skilled Quality Engineer to ensure the quality, reliability, and performance of our ML models, data pipelines, and AI-driven products.As part of a highly

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning. Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models. Post Doctoral Machine Learning Research Scientist.

We are looking for a Principal MLOps Engineer to lead the design, development, and operation of production-grade machine learning infrastructure at scale.

This position will work with a team of excellent research scientist and machine learning engineer who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Our Trust and Safety RD team is fast growing and responsible for b

Although we build and deploy machine learning chips, no machine learning background is needed for this role. Your team (and your software) won't be doing machine learning. You and your team will develop drivers for components used by machine learning, like PCIe and HBM, but won't need to deeply unde

Solid background in Machine Learning and Signal/Image/Video Processing. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer. In this role you will work

Develop and scale an offline machine learning (ML) infrastructure to support rapid adaptation, large-scale training, and continuous self-improvement of end-to-end models, leveraging self-supervised learning, imitation learning, and reinforcement learning. We are seeking Deep Learning Engineers with

Senior Software Engineer - XR Spatial Machine Learning. Our team's goals are centered around integrating AI and Machine Learning (ML) into XR headsets, with a primary focus on equipping developers with tools and resources to build groundbreaking applications.

You will define and drive multi?year, multi?team technical strategy for machine learning across affirm, ensuring alignment with company?wide priorities and influencing the roadmaps of partner teams and platforms. You have 10+ years of experience researching, designing, deploying, and operating large

A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves devel

Although we build and deploy machine learning chips, no machine learning background is needed for this role. You'll work closely with chip architects, designers, verification engineers, and fellow software engineers to shape our next-generation of Machine Learning acceleration. Your team (and your s

Senior Technical Program Manager, Machine Learning Deployment Acceleration.

Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering, machine learning engineering, AI systems or related area. Option 1: Bachelor’s degree in computer science, compute

Computer Science, Artificial Intelligence, Machine Learning, or a related field. THE ROLE AMD is seeking a Director of Machine Learning Engineering to join our Models and Applications organization.

Role: Staff Machine Learning Engineer.

Acts as a subject matter expert in designing and prototyping machine learning models and/or machine learning frameworks of high complexity. Job Description* Advises and represents strategic roadmap for machine learning technologies to executive leadership. Potentially enga