What do we need from you?- 4+ years of industry experience in applied Machine Learning or closely related fields (or equivalent combination of education and experience) with a demonstrated track record of shipping and operating ML models in production.
- Deep and demonstrated ability to traverse the full spectrum of ML life cycle: exploratory data analysis, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and retraining
- 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.
- 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.
- 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
- Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI
- Experience working with time series data and related machine learning problems. Working knowledge of semantic search and embeddings
- Recognize when to seek assistance and willing to learn whatever is needed to get the job done; curiosity and growth mindset are essential.
- 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.
- Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time
What's in it for you? Ready to make a serious impact? Millions of people already rely on Calendly's products, and we're still in the midst of our growth curve - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. 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.
Our Hiring Process:We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com.
Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.
This role may require occasional travel for company events, team collaboration, or offsites.
