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Senior Machine Learning Engineer @Calendly

[Hiring] Senior Machine Learning Engineer @Calendly

Mar 26, 2025 - Calendly is hiring a remote Senior Machine Learning Engineer. 💸 Salary: $157,300 - $255,200 usd. 📍Location: USA.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves being a Senior Machine Learning Engineer who will deliver business value through executing hands-on full machine learning lifecycle.

  • Collaborating cross-functionally with software engineers, product managers, and data scientists to understand business needs, define priorities, and contribute to impactful machine learning solutions
  • Developing and deploying ML models and pipelines at scale, supporting both batch and real-time use cases
  • Leveraging cloud-based ML services and tools to build efficient, reusable, and high-performing machine learning systems
  • Optimizing ML models for performance and scalability, ensuring they meet latency SLAs while handling production traffic
  • Conducting live experiments to evaluate and improve model performance

Qualifications

  • 5+ years of industry experience in applied Machine Learning (or 3+ years with a PhD in a relevant field)
  • A solid foundation in machine learning and statistics
  • Extensive experiences with probabilistic modeling, statistical inference, hypothesis testing, and traditional ML techniques
  • Familiarity with recent advancements in large language models and related technologies
  • Solid software engineering skills, including proficiency in Python
  • Familiarity with CI/CD for ML, containerization (Docker, Kubernetes), and model observability
  • Experience building scalable ML pipelines and integrating ML models into production
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Familiarity with modern ML tools such as PyTorch, TensorFlow, JAX, Hugging Face, LangChain, vector databases, and model-serving frameworks
  • The ability to take initiative, solve problems efficiently, and know when to seek help
  • Ability to thrive in ambiguity, move fast, and focus on delivering impact
  • Ability to clearly articulate technical concepts and work cross-functionally with engineers, product managers, and analysts
  • Curiosity and continuous learning, staying updated on ML/AI advancements
  • Comfort with working remotely and with enabling tools like Slack, Confluence, etc.
  • Authorized to work lawfully in the United States of America

Requirements

  • 5+ years of industry experience in applied Machine Learning (or 3+ years with a PhD in a relevant field)
  • Solid foundation in machine learning and statistics
  • Extensive experiences with probabilistic modeling, statistical inference, hypothesis testing, and traditional ML techniques
  • Familiarity with recent advancements in large language models and related technologies
  • Proficiency in Python and familiarity with CI/CD for ML, containerization (Docker, Kubernetes), and model observability
  • Experience building scalable ML pipelines and integrating ML models into production
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Familiarity with modern ML tools such as PyTorch, TensorFlow, JAX, Hugging Face, LangChain, vector databases, and model-serving frameworks

Benefits

  • Opportunity to make a serious impact as millions rely on Calendly’s products
  • Accelerate your career with growth opportunities
  • Quarterly Corporate Bonus program (or Sales incentive)
  • Equity awards
  • Competitive benefits

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Before You Apply
📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Machine Learning Engineer @Calendly
Software Development
Salary 💸 $157,300 - $255,200 usd
Remote Location
USA
Job Type full-time
Posted Mar 26, 2025
Apply for this position Unlock 54,637 Remote Jobs
📍 Be aware of the location restriction for this remote position: USA
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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