Cresta is a company focused on revolutionizing the contact center industry through AI technology. They are seeking a Senior Staff Machine Learning Engineer to lead the development and deployment of AI Agent solutions, leveraging large language models to create practical applications for customers.
Responsibilities:
- Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models
- Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios
- Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions
- Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
- Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents
- Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
Requirements:
- Bachelor's Degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. preferred, or equivalent professional experience
- 7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments
- Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs
- Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications
- Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure
- Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production
- A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization