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Machine Learning Engineer - Perception
Machine Learning Engineer - Perception
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 Perception Team
The vast majority of machine learning projects fail because of insufficient or poorly labeled data. At Labelbox, the Perception team’s mission is to build the most efficient tool for creating high-quality training data, allowing our users to make breakthroughs in their domains and advance the field of artificial intelligence.
Our team focuses on building a beautiful browser interface, served to users all around the world. We are responsible for processing images, documents, videos, and more for display in a browser. We build tools that visually annotate and manipulate those assets, and we design the custom components and SDKs that allow customers to build their own interfaces.
About the Role
As a Machine Learning engineer on the team, you will have a tremendous impact to help define and execute a roadmap that will transform how human in-the-loop labelling is done. You will build, train, deploy, and iterate on models that will reduce the cost of labelling for our customers by an order of magnitude. You will influence the product & engineering roadmap with your knowledge of the realm of possibility coupled with customer needs.
In 30 days, you will…
Pair with a teammate to ramp up on the codebase, ask questions, and learn
Attend Labelbox university to see the big picture of what you will be contributing to
Evaluate deep learning techniques that enable near real-time segmentation on various data types starting with images, but also with text and videos
Collaborate with your manager on performance objectives and goals that balance both company priorities and your own personal development
In 60 days you will…
Work actively with Engineering, Product, and Design to ship high impact features to customers pertaining to object segmentation, classification and/or tracking
Identify growth opportunities to pursue via your yearly $5000 learning and development budget
In 90 days you will…
Continuously evaluate and improve production models
Be instrumental in setting the course for other ML-powered products at Labelbox
Collaborate with other product & technical leaders to advocate and execute roadmap items
Some projects you could work on are…
Evaluating, training, iterating and deploying models in production that are suitable for classifying, segmenting, detecting and tracking objects in images and video at high accuracy
Evaluating and training models that auto labels documents (raw text, PDF’s, etc)
Exploring and implementing adaptive learning techniques to further improve model accuracy
About You
- You have a proven track record of delivering multi-quarter machine learning / deep learning projects that deliberately ship incremental value to customers in milestones
- You are proficient in computer vision and deep learning techniques for object detection, segmentation and classification
- You are proficient with Python and ML frameworks like TensorFlow, PyTorch, etc
Bonus
- You have deployed models in production
- You have experience training general open-source deep learning computer vision models
- You have experience in full-stack development with a web framework
- You have a working knowledge of cloud computing tools (we use Google Cloud, but AWS or others are fine too!)
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.
This role is remote within the USA, Canada, and Europe.
This job is no longer open