Calendly

Calendly

Machine Learning Engineer

Remote - US · Full-time

Work authorization required$203k-$245kDetected 34 days ago
PythonJavaScalaSQLRESTMachine LearningTensorFlowPyTorchSparkAirflowData AnalysisData EngineeringData ScienceData VisualizationNLPA/B TestingConfluenceForecastingRecruitingCustomer SuccessCommunicationCollaboration

About the role

  • Millions of people already rely on Calendly, and we're still in the midst of exciting product growth - it's a fantastic time to join us.
  • Everything you'll work on here will accelerate your career to the next level.
  • About the team & opportunity What's so great about working on Calendly's Data Science & Machine Learning team?

Responsibilities

  • On a typical day, you'll own features end to end within our ML ecosystem, with growing independence and impact.
  • Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
  • 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.
  • Experience developing and implementing statistical and ML models to uncover patterns, trends, and predictions in areas such as revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, or natural language processing.

Requirements

  • Hands-on experience implementing ML models using a managed service (for example, Vertex AI or SageMaker) for high-traffic, low-latency, large-data applications that produced tangible impact for end users.
  • Working knowledge of semantic search and embeddings
  • You have strong verbal and written communication skills.
  • Ability to communicate complex technical concepts to both technical and business stakeholders.
  • You are comfortable working remotely and with enabling tools like Slack, Confluence, etc.
  • Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI

Compensation

  • Tier 1 Salary Hiring Range
  • $202,542 - $245,434 USD
  • Tier 2 Salary Hiring Range
  • $185,664 - $224,981 USD
  • Tier 3 Salary Hiring Range
  • $168,785 - $204,528 USD
  • The ranges listed above are the expected annual base salary for this role, subject to change.

Benefits

  • Base salary is just one component of Calendly's total rewards package.
  • All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits.
  • Experience working with time series data and related machine learning problems.

Company info

  • Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.
  • Works closely with product, design, marketing, customer success, and engineering teams to implement ML models that improve the customer journey in service to growth and efficiency (for example, understanding the relationships among customers' behavior and business performance).
  • Has a strong product focus and passion for using machine learning to solve real world problems, and understands that being an effective MLE is about collaborating with people as much as it is about writing code.
  • Notice at Collection
  • This role may require occasional travel for company events, team collaboration, or offsites.
  • If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey.
  • We are passionately committed to improving and building on our process, and we consider feedback a gift.
  • If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com.

Visa & Work Authorization

  • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
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This listing is sourced directly from Calendly's careers page and normalized into a canonical job model.