Calendly
Senior Machine Learning Engineer
Calendly, Atlanta, Georgia, United States, 30383
About the team & opportunity
What’s so great about working on Calendly’s Data Science & Machine Learning team?
We make things possible for our customers through innovation in data, analytics and AI.
Why do we need you? We are looking for a Senior Machine Learning Engineer who will bring a track record of delivering business value through executing hands-on full machine learning lifecycle. You will report to the head of Data Science & Machine Learning and will be responsible for driving new initiatives using the latest advancements in ML, working closely with cross-functional teams, and helping to drive business insights & growth as well as creating magical experiences for our end customers through innovation. You will join a great data team and be an integral part of building new, machine learning-based experiences for internal and external customers alike.
A day in the life of a Senior Machine Learning Engineer at Calendly
On a typical day,
you
will be working on:
Working with unique, large-structured time series data sets to build and continuously improve innovative machine learning models for Calendly product use cases.
Collaborating with partners including software engineering, product managers, decision and data scientists to impact the business by understanding and prioritizing requirements for machine learning models.
Developing, "productionizing," and operating machine learning models and pipelines at scale, including both batch and real-time use cases.
Leveraging machine learning cloud services and tools to develop reusable, high-performing machine learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
Optimizing ML models to meet latency SLAs at the scale of Calendly's production traffic and launching live experiments to evaluate model performance.
What do we need from you?
5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
Deep and demonstrated ability to traverse the full spectrum of ML life cycle: EDA, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and re-training.
Develop and implement advanced statistical and ML models to uncover patterns, trends, and predictions (Ex.: revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, natural language processing).
Consistent record of efficiently implementing ML models using a managed service (VertexAI / Sagemaker) for high traffic, low latency, large data applications that produced substantial impact on the end users.
Deep understanding of the foundation models, open source ecosystem, model fine-tuning, prompt engineering etc.
Strong programming (Python / Scala / Java / SQL etc) and data engineering skills.
Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch (in that order of importance) and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI.
Deep experience working with time series data and related machine learning problems; working knowledge of semantic search and embeddings.
Familiarity with Retrieval-Augmented Generation techniques to improve content quality, orchestration framework such as Langchain or Microsoft Semantic kernel.
The ability to recognize when to seek assistance and willing to learn whatever is needed to get the job done; ideally, you have some research experience.
Strong verbal and written communication skills and the ability to communicate complex technical concepts to both technical and business stakeholders.
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.
#J-18808-Ljbffr
What’s so great about working on Calendly’s Data Science & Machine Learning team?
We make things possible for our customers through innovation in data, analytics and AI.
Why do we need you? We are looking for a Senior Machine Learning Engineer who will bring a track record of delivering business value through executing hands-on full machine learning lifecycle. You will report to the head of Data Science & Machine Learning and will be responsible for driving new initiatives using the latest advancements in ML, working closely with cross-functional teams, and helping to drive business insights & growth as well as creating magical experiences for our end customers through innovation. You will join a great data team and be an integral part of building new, machine learning-based experiences for internal and external customers alike.
A day in the life of a Senior Machine Learning Engineer at Calendly
On a typical day,
you
will be working on:
Working with unique, large-structured time series data sets to build and continuously improve innovative machine learning models for Calendly product use cases.
Collaborating with partners including software engineering, product managers, decision and data scientists to impact the business by understanding and prioritizing requirements for machine learning models.
Developing, "productionizing," and operating machine learning models and pipelines at scale, including both batch and real-time use cases.
Leveraging machine learning cloud services and tools to develop reusable, high-performing machine learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
Optimizing ML models to meet latency SLAs at the scale of Calendly's production traffic and launching live experiments to evaluate model performance.
What do we need from you?
5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
Deep and demonstrated ability to traverse the full spectrum of ML life cycle: EDA, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and re-training.
Develop and implement advanced statistical and ML models to uncover patterns, trends, and predictions (Ex.: revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, natural language processing).
Consistent record of efficiently implementing ML models using a managed service (VertexAI / Sagemaker) for high traffic, low latency, large data applications that produced substantial impact on the end users.
Deep understanding of the foundation models, open source ecosystem, model fine-tuning, prompt engineering etc.
Strong programming (Python / Scala / Java / SQL etc) and data engineering skills.
Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch (in that order of importance) and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI.
Deep experience working with time series data and related machine learning problems; working knowledge of semantic search and embeddings.
Familiarity with Retrieval-Augmented Generation techniques to improve content quality, orchestration framework such as Langchain or Microsoft Semantic kernel.
The ability to recognize when to seek assistance and willing to learn whatever is needed to get the job done; ideally, you have some research experience.
Strong verbal and written communication skills and the ability to communicate complex technical concepts to both technical and business stakeholders.
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.
#J-18808-Ljbffr