Qualtrics
How do you turn a customer into a fanatic$1. ?$1
online survey software • market research • consumer feedback • employee feedback • 360 evaluations
5001 - 10000
💰 $180M Series C on 2017-04
Staff Machine Learning Engineer/Architect
April 25
Qualtrics
How do you turn a customer into a fanatic$1. ?$1
online survey software • market research • consumer feedback • employee feedback • 360 evaluations
5001 - 10000
💰 $180M Series C on 2017-04
Description
• Design and develop robust AI architectures, frameworks, and algorithms that can support large-scale and complex enterprise SaaS AI solutions in alignment with business objectives. • Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. • Collaborate across the company to guide the direction of machine learning at Qualtrics, spanning teams from research to production. • Communicate with a team of research scientists, product managers, and engineers and lead and document AI architectures, design decisions, and technical specifications for reference and knowledge sharing. • Work closely with research scientists and model engineering teams on developing, and deploying, ML systems in production. Develop a strategy for optimizing models and systems for performance, scalability, efficiency, and cost. • Offer technical supervision and direction to the ML platform teams and lead the creation of future ML platform for deploying and monitoring AI models in production settings while maintaining compliance with the best practices in machine learning and deep learning. • Conduct regular code reviews and provide technical guidance to team members. • Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization.
Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. • Proven experience (6+ years) working as an AI architect, Machine Learning Engineer, or related role. • Strong knowledge of machine learning, deep learning, and NLP. • Proficiency in programming languages such as Python, Java, or C++, and popular AI libraries and frameworks (e.g. TensorFlow, PyTorch, Keras). • Experience designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment. • Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. • Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components. • Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams. • Ability to stay updated with the latest AI technologies, frameworks, and platform advancements. • Knowledge of deploying and optimizing LLMS with open-source frameworks like DeepSpeed, Accelerate, FasterTransformer, and Transformers-NeuronX libraries is a plus. • Knowledge of ethical considerations and responsible AI practices is a plus.
Benefits
• Wellness Reimbursement for $300 per quarter for wellness activities, including gym memberships, spa massages, workout equipment, meditation apps, and much more. • $1800 yearly Experience bonus to be used for an "Experience" of your choosing • Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.
Apply Now