Our client, global technology leader is seeking a AI Engineer - Machine Learning IIto join their team in Redmond, WA. Job Title: AI Engineer - Machine Learning II Location: Redmond, WA – Hybrid Type: 18 Months Contract What’s the Job? Our client seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models. Your role will be centered on creating strong, scalable, and efficient training infrastructures and frameworks facilitating the full spectrum of the machine learning process, from handling data to deploying models. In collaboration with researchers and software engineers, you'll ensure that training systems are smoothly integrated and functioning, expanding the limits of AI's capabilities, especially in practical robotics scenarios. Additionally, you will investigate innovative methods to effectively utilize diverse datasets within our training framework.. Job Responsibilities • Create and uphold efficient, scalable, and distributed training systems-including data preprocessing, training orchestration, and model assessment-for training large-scale AI models. • Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability. • Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms. • Develop and design benchmarks for evaluating ML models. • Perform training and and fine-tuning of foundation models for robotic applications . • Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance. • Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration. • Purpose of the Team: The purpose of this team is AI research team. Teach robots to do new skills. Software and hardware engineers integrate. • Key projects: This role will contribute to supporting the researchers so they can do their job. • Typical task breakdown and operating rhythm: The role will consist of 15% meetings, typically starting at 8am PST but occasionally 7am PST if meeting with team members in Europe or China. Collaboration with the team on machine learning, view new models, try it on the robots, writing code, intrastation, note know to improve. 60% testing, coding, and applying engineering 20% meetings and miscellaneous tasks What’s Needed? • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. • Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing. • Deep understanding of state-of-the-art machine learning techniques and models. • Experience with cloud-based training environments (AWS, Google Cloud, Azure). • Experience in developing and maintaining software tooling and infrastructure for machine learning. • Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design. • Experience with continuous integration and automated testing frameworks. What’s in it for me? • This role provides the opportunity to work on modern stack technologies and contribute to the development of AI systems • This role provides the opportunity to work with different robot companies, state of the art machines, top researchers, help develop machine code language models. • Working robots to do things like folding laundry, assembling engines. If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of:Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.