Senior Machine Learning Engineer

Calendly

2d•$198,025 - $287,952•Remote

About The Position

This role is on Calendly's Data Science & Machine Learning team, which focuses on innovation in data, analytics, and AI to empower customers. The Machine Learning Engineer will be responsible for building new AI products and operating AI-powered features that create enhanced customer experiences. The position involves working closely with product, design, marketing, customer success, and engineering teams to solve real customer problems through AI solutions. The role offers the opportunity to be an integral part of a high-performing AI team, building new AI-based experiences for both internal and external customers.

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.
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.

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.