Prior Listings
Machine Learning Support Engineer
Machine Learning Support Engineer
This job is no longer open
Labelbox’s mission is to build the best products for humans to advance artificial intelligence. Real breakthroughs in AI are reliant on the quality of the training data. Our training data platform enables organizations to improve their machine learning models far quicker and more accurately. We are determined to build software that is more open, easier-to-use, and singularly focused on getting our customers to performant ML faster.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Allstate, Black + Decker, Bayer, Warner Brothers and leading AI-focused companies including FLIR Systems and Caption Health. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
As part of the Machine Learning Support Engineer team, you will act as the primary point of contact for customer support, providing guidance and assisting customers in order to create the best experience possible. You will also work closely with other internal teams, including Customer Success, Product, and Engineering. The role requires you to be comfortable with the Python language in order to use, demonstrate, and help with the Labelbox SDK, among other things.
What you’ll do
- Create great experiences for our customers when they need help. Build trust and advisory relationships with customers to help them better use the product.
- Learn Labelbox's product at a deep level and help customers do the same. Learn what’s happening next with the product, and help customers prepare to use new features.
- Go beyond the question being asked - understand how our customers define their own success with the product, and help them work toward that success.
- Be a voice for our customers during internal discussions and projects at Labelbox. Represent their needs and struggles to help drive our product development in a strong direction.
- Apply an understanding of machine learning models and model tools to customer use cases within Labelbox.
- Work cross functionally with the Engineering, Product, and Solutions teams to build tooling, create scripts, and resolve issues.
- Monitor and identify trends in customer experiences. Work within the MLSE team, and with other teams at Labelbox, to give customers the information and tools they need to more effectively and efficiently support themselves in the use of the product.
What you’ll need to succeed
- BA/BS in a technical field; Computer Science/Engineering degree
- Proficiency in Python, SQL
- 1 - 3 years of experience in SaaS company role
- Interest in AI and Machine Learning
- Strong communication skills, both technical and non-technical
- Ability to quickly learn, understand, and articulate new technologies and their corresponding value propositions
- The ability to work autonomously and balance working effectively in a team
- Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage your workflow
- Ability to quickly pick up a variety of software applications with ease
- Experience with Github, Confluence, Jira, Jupyter and/or Google Colaboratory
- Experience in Customer Support of any kind
Bonus points!
- Leadership experience in any walk of life
- Knowledge of REST APIs or GraphQL
- S3, GCP or Azure Blob Storage knowledge
- Knowledge of Tensorflow, OpenCV or PyTorch
- Customer Support Engineering position
Do great work. From anywhere.
We hire great people regardless of where they live. Work wherever you’d like as reliable internet access is our only requirement. We communicate asynchronously, work autonomously, and take ownership of our work.
#LI-Remote
This job is no longer open