Senior Machine Learning Engineer, Calendly
$178.5-241.5k
Salary shown for California
More information about location
Automated appointment scheduling
Open for applications
Automated appointment scheduling
501-1000 employees
Open for applications
$178.5-241.5k
Salary shown for California
More information about location
501-1000 employees
Company mission
To provide broad and deep support for various meeting scenarios, and make scheduling easier and more efficient.
Role
Who you are
- 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 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 Langhcain 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
- You have strong verbal and written communication skills and the 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 the job involves
- 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
- We have a product focus and passion for using machine learning to solve real-world problems, and understand that being an effective MLE is about collaborating with people as much as it is about writing code
- 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
- Working with unique, large-structured time series data sets to build and continuously improve innovative machine learning models for Calendly product use cases
- Working collaboratively with partners including software engineering, product managers, decision and data scientists, to impact the business by understanding and prioritizing requirements for machine learning models
- Hands-on 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, highly differentiating and 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 launch live experiments to evaluate model performance
Our take
Calendly is a cloud-based scheduling service that is straightforward to use. It allows around 10 million customers per month to connect and make appointments based on their available times without having to send emails back and forth.
The platform offers four different plans - allowing individuals, small companies, and large enterprises alike to make use of these services. Calendly's growth to date been based mostly around a very organic strategy. Its invites become links to Calendly itself, so people who like it can, and do, start to use it.
There are a handful of competing products on the market, including offerings from Doodle and Microsoft, but Calendly's customer-friendly design has won it attention and allowed it to carve itself a space in the field. Impressive funding has contributed to the company's expansion, allowing it to capitalize on the increasing popularity of home and hybrid working.
Freddie
Company Specialist
Insights
Few candidates hear
back within 2 weeks
21% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2021
$350m
SERIES B
Apr 2014
$0.6m
SEED
Total funding: $350.6m
Company benefits
- Quarterly Bonus
- Equity
- Home Office Setup
- Technology
- Pick Your Own Perk
- Flexible Time Off
- Vacation Stipend
- Parental Leave
- Health and Wellbeing
- Fun Community Events
- 401k Company Match
Company values
- Start With Human - We understand that our decisions and actions impact real people. We actively pursue and thoughtfully consider the input of others. We treat everyone with genuine respect. We seek to understand first and acknowledge the work that has been done before offering new ideas.
- Find A Way We never settle, constantly looking to improve everything we do. We take on new challenges head-on, refusing to be paralyzed by complexity. We are both scrappy and creative. We take action, adapt quickly and persevere in the face of obstacles until meaningful progress is made.
- Focus Wisely - We recognize that all things do not matter equally. We are highly analytical in our approach, digging deep to discover the top priorities. A bootstrapped mentality keeps our focus on what is most important. We think “lean,” act resourcefully and refuse to compromise on quality.
- Strive For Excellence - We are self-starters who crave empowerment, actively pursue opportunities for impact, take initiative and swing big to move the needle. We embrace both personal accountability and transparency. We take ownership for results—good or bad—and learn from them.
Company HQ
Atlantic Station, Atlanta, GA
Articles
Leadership
Tope Awotona
(CEO)Having studied at the University of Georgia, they worked as an IBM Sales Rep and for Perceptive Software, Vertafore, and EMC as an Account Manager. They left the latter in 2014, having founded Calendly in February 2013.
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