Senior Machine Learning Engineer

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Calendly

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 2013

☁️ SaaS

⚡ Produktivität

🏢 Unternehmen

💰 €3.502.700.000 Series B im 2021-01

SaaS • Productivity • Enterprise

Calendly ist eine Plattform zur Automatisierung der Terminplanung, die die Koordination von Meetings vereinfacht. Sie bietet anpassbare Verfügbarkeitsoptionen, Integrationen mit Kalender- und Videokonferenz-Tools sowie Funktionen wie Terminabstimmungen und Erinnerungen. Calendly hat das Ziel, die Produktivität zu steigern, indem der Aufwand für die Organisation von Meetings für Einzelpersonen und Teams reduziert wird.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Top Performer Bonus program or Sales incentive • equity awards • competitive benefits