Calendly

Calendly offers a modern scheduling platform that simplifies the process of finding meeting times, allowing users to eliminate the hassle of back-and-forth communication and enhance productivity through automated scheduling features.

Internet Software & Services

Information Technology

251-1K (424)

Founded 2013

$351M raised

14 open positions

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Machine Learning Engineer

1 month, 3 weeks ago

United States

Full-time

Mid Level

Software Development

Apache Airflow Apache Spark CI/CD Confluence Feature Engineering GCP Java Keras LLM Machine Learning MLOps NLP Python PyTorch Scala SQL TensorFlow Vertex AI

Apply Now

Calendly

Internet Software & Services

251-1K

Founded 2013

$351M raised

View All Jobs 14

Description

Own ML-powered features from design through deployment in partnership with product, design, and engineering teams.
Define success metrics and help scope ML work for features and services you own.
Understand and document domain knowledge for your product area.
Prioritize work independently while balancing feature development, quality, and maintenance.
Collaborate with teammates through pairing, code reviews, and cross-functional support.
Troubleshoot deployment pipelines, including build, test, and release steps for ML services and data pipelines.
Use monitoring and observability tools to triage alerts and incidents and help restore service.
Participate in on-call rotation and incident response, including prevention of recurring issues.
Serve as a subject matter expert for owned features, data contracts, SLAs, and dependencies.
Champion adoption of AI tools across the company.

Requirements

4+ years of industry experience in applied machine learning or a closely related field, or an equivalent combination of education and experience.
Demonstrated track record of shipping and operating ML models in production.
Experience across the full ML lifecycle, including exploratory data analysis, feature engineering, model experimentation, training, validation, serving, monitoring, and retraining.
Experience developing statistical and ML models for use cases such as revenue forecasting, churn analysis, personalization, recommendation, anomaly detection, or natural language processing.
Hands-on experience using a managed ML service such as Vertex AI or SageMaker for high-traffic, low-latency, large-data applications.
Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering.
Strong programming and data engineering skills in Python, Scala, Java, SQL, or similar languages.
Proficiency with ML frameworks such as Keras, TensorFlow, and PyTorch, and workflow tools such as Apache Spark, Beam, Airflow, and Vertex AI.
Experience working with time series data and related machine learning problems, plus working knowledge of semantic search and embeddings.
Strong verbal and written communication skills, including the ability to explain complex technical concepts to technical and business stakeholders.
Comfort working remotely and using collaboration tools such as Slack and Confluence.
Authorization to work lawfully in the United States, as Calendly does not offer immigration sponsorship at this time.

Benefits

Base salary range of $168,785 to $245,434 USD, depending on location tier and other factors.
All full-time employees working 30 hours per week are eligible for the Top Performer Bonus program or Sales incentive.
Equity awards as part of the total rewards package.
Competitive benefits package.
Remote work is supported, with pay determined by remote location.
Occasional travel may be required for company events, team collaboration, or offsites.

Interested in this position?

Apply directly on the company website

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