The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.

Good knowledge of fixture design, machine and tool shop capabilities and limitations, microfabrication, and manufacturing processes. IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.

Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.

Experience with machine learning frameworks such as TensorFlow. Work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design, code and deploy large scale batch and real-time ML solutions.

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.

Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.

Strong experience on machine learning model development. The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products.

You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.

Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation.

The Product: The AWS Machine Learning accelerators represent a pinnacle of AWS technologies, specifically designed for advancing AI capabilities. You: As a Machine Learning Compiler Engineer II on the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.

Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.

Machine is a Toshiba Aquilon 64 slice scanner. Pay Information $2,565 per week About The Position ID: 50443360 Shift: Mid Shift 1500-2330 Description: The CT Technologist, under the direction of the Radiology Manager and the Radiologist, performs computerized Tomography procedures including procedures of an invasive nature.

As a Machine Learning Engineer you will have the opportunity to identify and prioritize machine learning investments across our conversation AI & personalization ecosystem. Familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn, Spark MLLib.

Ability to operate, maintain and properly clean dishwashing machine, sinks, floor cleaning equipment, and silver burnisherA positive and energetic demeanorWhat to Expect from Your Work Experience.

In past lives—we were founding engineers on the Amazon Prime Air team, led autonomy and simulation initiatives at Amazon Robotics, and implemented machine learning solutions from AWS into numerous Fortune 500 companies.