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About the Role Robotic Assistance Devices is seeking a Staff Machine Learning Engineer to lead our Machine Learning Engineering team and drive the delivery of production-grade AI capabilities across cloud and edge…
Design and build a machine-learning platform that lets data scientists deploy, monitor, and roll out models on their own, using cloud-native tools and Kubernetes.
About the Team: The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to…
About the job Validate the ML stack that turns accelerator hardware into trusted AI performance. This role sits where modern ML models meet Graphcore’s software and hardware stack. You will test, benchmark and validate…
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we…
Lead a team of ML engineers to improve AI-powered enterprise search relevance using LLMs and RAG techniques, focusing on ranking quality, model evaluation, and cross-functional collaboration in Mountain View.
Company Description We’re . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world…
Nosso modo de fazer no time Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões…
Job Title: Staff Computer Vision AI/ML Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:…
Company Description Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and…
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in…
Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a…
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is…
The opportunity We are building the next generation of AI-driven game experiences, running generative models on-device, right where the players are — on phones, tablets, laptops, and desktops. Our games run inside a…
Imagine what you could do here. At Apple, great ideas quickly become extraordinary products, services, and customer experiences. Bring passion and dedication to your work, and there’s no telling what you could…
Staff ML Engineer building Gen AI platforms (AI Agents, RAG, LLM fine-tuning) for Extreme Networks' AI Core group that powers network intelligence products. Works with Python, FastAPI, PyTorch, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) to design large distributed systems. 8-14 years exp; Bangalore/Remote.
Staff ML Platform Engineer to own Neara's ML infrastructure strategy end-to-end, building training pipelines, serving architecture, and experiment management systems for cutting-edge multi-modal spatial frontier models (point clouds, geospatial, asset data) deployed to global utilities. Requires deep Python/PyTorch expertise, distributed systems experience, and cloud infrastructure skills (AWS/GCP
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