2 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead end-to-end AI/ML features in a production environment within Calendly’s Data Science & Machine Learning team. Design and deploy AI-powered experiences, collaborate with product/design/engineering, and ensure reliable, scalable ML services and data pipelines for high-traffic applications.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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.
•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.

Key Requirements

•6+ years of industry experience in applied AI/ML and software engineering with a 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.

Experience:6+ yearsAIMLGenAIProduction

Skills:PythonScalaJavaSQLData engineeringPrompt engineeringModel fine-tuning

Languages:English

Tech Stack:PythonScalaJavaSQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Calendly

Provides a cloud-based scheduling platform that automates meeting coordination, calendar management, and appointment booking for businesses and professionals to eliminate back-and-forth scheduling.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Atlanta, United States

Founded: 2013

Website LinkedIn

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Calendly

2 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key 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.
•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.

Key Requirements

•6+ years of industry experience in applied AI/ML and software engineering with a 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.

Experience:6+ yearsAIMLGenAIProduction

Skills:PythonScalaJavaSQLData engineeringPrompt engineeringModel fine-tuning

Languages:English

Tech Stack:PythonScalaJavaSQL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Calendly

Provides a cloud-based scheduling platform that automates meeting coordination, calendar management, and appointment booking for businesses and professionals to eliminate back-and-forth scheduling.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Atlanta, United States

Founded: 2013

Website LinkedIn