<link id='css--app'rel="stylesheet" href="/dist/css/app.min.css"> Opportunities – Trilogy


Customer Facing Data Scientist at Comet.ml

Invent Collaborative Machine Learning

Comet is doing for Machine Learning what GitHub did for software. We allow data science teams to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. Ever wondered how Linus felt when he invented GIT? How about the brains behind JIRA? Machine Learning teams operate like software teams 15 years ago and we started Comet.ml to write the rules of ML workflows and teams.

You’re welcome here

Working in a fast dynamic startup is challenging and lots of fun. We are looking for people who want to make an impact with their roles and decisions. If you are excited about pushing code that will change the way data scientists work all over the world, this is the right place for you. Comet.ml is backed by major VCs and we’re looking to expand our team. This role can be based in our NYC SoHo office, Tel-Aviv (Israel) or remote.

Comet.ml is an equal opportunity employer without regard to race, religion, color, sex, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member status, marital status, pregnancy, age, medical condition, physical or mental disability, genetic information/characteristics and any other characteristic protected by State or Federal law.

Minimum qualifications:


  • Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.
  • 3+ years of experience with applied machine learning and software engineering
  • Experience with industry analysis and enterprise technology sales in the cloud market.
  • Experience producing technical assets or writing technical documentation.


Preferred qualifications:


  • MS degree in Computer Science or a related engineering field, or equivalent work experience in software/systems engineering.
  • 5 years of direct experience working with a variety of enterprise and cloud technology systems, designing solutions, or developing business applications.
  • Experience building ML models with popular frameworks such as Tensorflow, PyTorch, Scikit, XGBoost, LGBM.
  • Experience building production-grade ML systems and taking ML models to production.


About the job

As an Customer Facing Data Scientist, you will help customers implement best practices for their machine learning teams by leveraging the Comet MLOps platform. This will include solutions to help manage and automate workflows throughout the MLOps lifecycle (dataset management, experimentation and R&D, model management, deployment and serving, and production monitoring). You should be comfortable with architecting solutions in and setting up cloud production application environments. You should be comfortable with basic ML concepts, training ML models with popular frameworks, and possess an understanding of the typical workflows of data scientists and teams. You will communicate with businesses of all types to help them adopt Comet products and solutions wherever they are on their MLOps journey. 


  • Facilitate technical discussions with customers, partners, and the Comet team (roughly 50% of time) as needed through all phases of customer engagements.
  • Provide domain expertise around MLOps technology and promote Comet with customers, at conferences, and online.
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive partners.
  • Provide customer and market feedback to product and engineering teams to help define product direction.
  • Work as part of a broader Solutions Go-to-Market team to contribute technical assets, prioritize and shape solution direction, while impacting top line business and bookings.