What are the responsibilities and job description for the Research Engineer, Computer Vision Hybrid / Redwood City, CA position at Snorkel AI, Inc.?
As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences. We’re looking for a talented researcher to join the team to work on foundational multimodal problems with the focus on data development techniques.
Main Responsibilities
Establish and empirically demonstrate the state-of-the-art approaches for data-centric model iteration and analysis
Prototype end-to-end workflows with novel techniques and algorithms, synthesize results, and help to transfer learnings into Snorkel products
Work closely with design partners to validate your work on real-world use cases with measurable impact
Contribute to novel research on topics of interest to Snorkel AI by collaborating with other Snorkel Research scientists and affiliate scientists (academic, government, and industry researchers)
Work a hybrid schedule in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays
Preferred Qualifications
PhD 2 YOE working on applied research on Computer Vision tasks
Experience with 3D Computer vision
Experience handling large scale medical imaging datasets including CT-Scan or robotics LiDAR datasets.
Experience in delivering one or more of these domains : Large vision language models, visual question answering, image-text alignment, text to image, text to video, text to motion, image to video, image captioning, activity / action recognition, Augmented and Virtual reality, object detection, semantic segmentation, depth estimation, trajectory prediction, pose estimation, keypoint detection and tracking, medical vision (MRI, CT-Scan, X-ray), perception (robotics / autonomous agents).
Experience prototyping, experimenting, and testing with large scale datasets and training deep models.
Experience with standard machine learning frameworks and tools (NumPy, Scikit-learn, Pandas, Pytorch, TensorFlow, etc.) and machine learning cloud infrastructure and accelerators (AWS, Google Cloud, GPUs and TPUs).
Strong technical communication skills and the ability to work in a fast-paced environment.
Experience with developing robust software with excellent coding hygiene and modular design.
The position involves working with problems with no off-the-shelf solutions and requires innovation on-the-fly. Typically a Ph.D. in machine learning or a related area with good publication history would be a good fit for this position. We would also love to hear from people with similar skill sets acquired through other career paths.
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