Job description

About Ascendion : Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: • Build the coolest tech for world’s leading brands • Solve complex problems – and learn new skills • Experience the power of transforming digital engineering for Fortune 500 clients • Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Machine Learning Engineer 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 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. Location: Hybrid - Redmond, WA Salary Range: The salary for this position is between $145,000- 176000 Annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [09-10 days/hours of paid time off] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

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