Calendly is hiring a Machine Learning Engineer for its Data Science & Machine Learning team to deliver business value across the full ML lifecycle, from problem discovery through model deployment and monitoring. You will build and operate ML-powered features used by internal and external customers, reporting to the head of Data Science & Machine Learning. The role is hands-on and collaborative, partnering with product, design, marketing, customer success, and engineering. The base salary range is $168,785–$245,434 depending on geographic tier.
Responsibilities
- ▹Own ML-powered features from design through deployment, scoping work and defining success metrics with product, design, and engineering.
- ▹Build and share domain knowledge, documenting learnings and answering domain-specific questions for your product area.
- ▹Prioritize work independently, balancing feature development, quality, and maintenance, and communicate tradeoffs clearly.
- ▹Proactively support teammates through pairing, code review, and collaboration.
- ▹Understand and troubleshoot deployment pipelines (build, test, release) for ML services and data pipelines.
- ▹Use monitoring and observability tools to triage alerts and incidents, and participate in the on-call rotation and incident response.
- ▹Serve as subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies.
- ▹Be a frequent user and champion of AI tools across the company.
Requirements
- ▹4+ years of industry experience in applied Machine Learning or closely related fields (or equivalent), with a track record of shipping and operating ML models in production.
- ▹Demonstrated ability across the full ML lifecycle: EDA, feature engineering, visualization, model experimentation, training, validation, serving, monitoring, and retraining.
- ▹Experience developing statistical and ML models for revenue forecasting, churn analysis, personalization/recommendation, anomaly detection, or NLP.
- ▹Hands-on experience deploying ML models on a managed service (e.g., Vertex AI or SageMaker) for high-traffic, low-latency, large-data applications.
- ▹Understanding of foundation models and the open-source ecosystem, including fine-tuning and prompt engineering for real product use cases.
- ▹Strong programming (Python/Scala/Java/SQL) and data engineering skills.
- ▹Proficiency with ML frameworks (Keras, TensorFlow, PyTorch) and ETL/ML workflow tools (Apache Spark, Beam, Airflow, Vertex AI).
- ▹Experience with time series data; working knowledge of semantic search and embeddings.
- ▹Authorized to work lawfully in the United States; Calendly does not offer immigration sponsorship.
Soft skills
Strong verbal and written communication; can explain complex technical concepts to technical and business stakeholders.Curiosity and growth mindset; recognizes when to seek help.Comfortable working remotely with tools like Slack and Confluence.
What we offer
- ▹Base annual salary of $168,785–$245,434 depending on geographic tier.
- ▹Top Performer Bonus program (or Sales incentive).
- ▹Equity awards.
- ▹Competitive benefits package.
- ▹Remote work (US, with location eligibility restrictions).
About the company
Calendly is a scheduling automation platform relied on by millions of users and currently in a period of significant product growth.
Languages: Angol (folyékony, szóban és írásban).
Education: Nincs kötelező végzettség megadva; a tapasztalat egyenértékű kombinációja elfogadott.