Research Engineer

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Requirements:

• 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.

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).