Research Engineer - Generalist ML Engineeer

As a Research Engineer, 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 generalist ML engineer with software development skills 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 Remotely or in our Bay Area Offices! 

Preferred Qualifications

• PhD and 1+ years of experience in applied machine learning (ML) on computer vision (CV) or natural language processing (NLP) tasks.
• MS and 3+ years of work experience with focus on delivering products (including internships and co-ops)
• Strong coding and problem solving skills
• Experience as a researcher/developer of ML taking projects from conception to production 
• Strong ML experience in building datasets and models
• Work that focused on multimodal (a combination of image, text, video, audio, pointcloud, MRI, etc.) data and using active learning, semi-supervised, self-supervised, weakly supervised, etc.
• Work with larger models (e.g. 1B+ parameters) 
• Experience with database (PostgreSQL, SQL, MySQL, etc.)
• Experience with front-end prototyping tools such as streamlit and dash
• Experience with cloud ML platforms such as Vertex AI, Azure AI, and SageMaker
• Publications in top-tier conferences (such as ICML, ICLR, AAAI, NeurIPS, CVPR, ICCV, ICRA, ECCV, ACCV, EMNLP, CoRL, etc.) are highly desirable.