Research Engineer, Computer Vision
Hybrid / Redwood City, CA
Snorkel AI
The first data-centric artificial intelligence (AI) platform powered by state-of-the-art techniques in programmatic data labeling and weak supervision. Turning data into accurate and adaptive AI applications--fast.We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences. If you find yourself thinking about any of these questions:
- How to prompt a model like GPT-4 effectively?
- How to build a foundation model for a specific domain like medical records?
- How to use models like LayoutLM V3 for weakly labeling documents at scale?
- How to blend prompt engineering, retrieval augmentation, and fine-tuning to customize models with the least human time and effort?
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.
Be Your Best At Snorkel Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth. Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Vision Engineering GCP Generative AI Google Cloud GPT GPT-4 Lidar Machine Learning NumPy Pandas PhD Prompt engineering Prototyping PyTorch Research Robotics Scikit-learn TensorFlow Testing VR
Perks/benefits: 401(k) matching Career development Health care Medical leave Parental leave Team events Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Business Intelligence Analyst jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Engineer III jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Product Data Analyst jobs
- Open Senior Software Engineer jobs
- Open Privacy-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open Deep Learning-related jobs
- Open TensorFlow-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Hadoop-related jobs