Senior Machine Learning Engineer

Calendly is a company experiencing exciting product growth, and they are seeking a Senior Machine Learning Engineer to deliver business value by building new AI Products for their customers. This role involves owning AI-powered features, collaborating with various teams, and driving innovation to enhance customer experiences.

Responsibilities:

• Own AI powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics
• Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team
• Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly
• Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward
• Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines
• Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response
• Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies
• Be a frequent user of AI Tools and champion of adoption to the rest of the company

Requirements:

• 6+ years of industry experience in applied AI/ML and software engineering with a demonstrated track record of shipping and operating AI /ML applications in production
• Experience working on GenAI products architecture/system design and implementation
• Hands-on experience implementing AI/ML solutions for high-traffic, low-latency, large-data applications that produced tangible impact for end users
• Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases
• Strong programming (Python / Scala / Java / SQL etc) and data engineering skills
• High level of ownership, and the ability to find a way to success
• You have strong verbal and written communication skills
• Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time