AI Engineer
3 days ago
Job Title: AI Engineer - Machine Learning 2 Job Description Duration: Scheduled until 6/30/2025 - Chance to extend full 18 months. Location: HYBRID - Must be local to Redmond, WA. On site 3x a week. Daily Schedule: 40 hours a week, Mon – Fri, Standard Core Business hours (some days starting at 7am PST due to meeting with team members in Europe and China), NO OT. Pay: $70-$90 Hourly. Typical Day in the Role 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, integration, note how to improve. Compelling Story & Candidate Value Proposition What makes this role interesting? - This role provides the opportunity to work with different robot companies, state of the art machines, top researchers, help develop machine code language models. Unique Selling Points: Working robots to do things like folding laundry, assembling engines. Hard Skills Minimum 2+ years experience with Linux Minimum 2+ years experience with Python Minimum 2+ years experience with Configuration management Additional MUST HAVE Skills: 2+ years experience with ROS2 2+ years experience with TensorFlow 2+ years experience with machine learning packages Summary Our team 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. 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 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. Work Site This is a hybrid position requiring some days on-site in Redmond, Washington and some days remote. Work Environment HYBRID - Must be local to Redmond, WA. On site 3x a week. Pay and Benefits The pay range for this position is $70.00 - $90.00 • Medical, dental & vision• Critical Illness, Accident, and Hospital• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available• Life Insurance (Voluntary Life & AD&D for the employee and dependents)• Short and long-term disability• Health Spending Account (HSA)• Transportation benefits• Employee Assistance Program• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Redmond,WA. Application Deadline This position will be accepting applications until Dec 7, 2024. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. Diversity, Equity & Inclusion At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through: Hiring diverse talent Maintaining an inclusive environment through persistent self-reflection Building a culture of care, engagement, and recognition with clear outcomes Ensuring growth opportunities for our people The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.
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AI/ML Engineer
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Redmond, United States BrickRed Systems Full timeWe are looking for a passionate AI Engineer/Machine Learning Engineer who will work alongside software and hardware engineers to teach robots new skills and support AI researchers with the infrastructure and tools needed to advance their work. You will contribute to developing and maintaining systems that allow robots to learn and perform tasks...
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Redmond, Washington, United States Microsoft Corporation Full timeUnlock the full potential of AI with Microsoft Corporation!About the RoleWe are seeking a highly skilled Software Engineer II to join our team in GPU performance analysis and optimization. As a key member of this team, you will be responsible for developing cutting-edge software solutions to enable large-scale training and inferencing of models on novel AI...
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