Staff Machine Learning Engineer (Virtual Agents) at Cresta

Cresta is seeking a Staff Machine Learning Engineer to join its AI Agent team in Toronto, Canada. This role focuses on creating state-of-the-art AI Agents, leveraging Large Language Models (LLMs), and ensuring cost-effective, secure, and reliable AI solutions. The Staff Machine Learning Engineer will be responsible for driving AI adoption and pushing the boundaries of AI technology into real-world applications.

The role involves hands-on work on cutting-edge projects, requiring innovative and passionate machine learning engineers who can bring research into practical, scalable applications. The Staff Machine Learning Engineer will take AI Agents from research to real-world use cases, including developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability.

Cresta is revolutionizing the workforce with AI. This Staff Machine Learning Engineer will be instrumental in solving complex problems and bringing breakthrough AI advancements into production environments.

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.

Qualifications:

• 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

Perks & Benefits:

• Variety of medical, dental, and vision plans
• Paid parental leave
• Monthly Health & Wellness allowance
• Work from home office stipend
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada