Research Engineer, Computer Vision Hybrid / Redwood City, CA

Snorkel AI, Inc.; Redwood City (CA); On-site; USD 150,000 - 200,000; Full time

Job description

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.