Payrate: $78.00 - $82.00/hr. 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. Preferred Qualifications: • 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. Desired Skills: • Minimum 2+ years experience with Linux • Minimum 2+years experience with Python • Minimum 2+years experience with Configuration management. • 2+ ROS/ROS2 • 2+ TensorFlow • 2+ Any sort of machine learning packages. Pay Transparency: The typical base pay for this role across the U.S. is: $78.00 - $82.00 /hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying for this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting # 25-20504