Research Engineer - Computer Vision

Posted 9 days agoViewed

💎 Seniority level: Middle, 1+ years with PhD or 3+ years with MS

📍 Location: USA

🔍 Industry: AI and machine learning

🗣️ Languages: English

⏳ Experience: 1+ years with PhD or 3+ years with MS

🪄 Skills: PostgreSQLPythonSQLCloud ComputingImage ProcessingMachine LearningPyTorchData engineeringTensorflowPrototyping

PhD and 1+ years of experience in applied machine learning on computer vision or natural language processing tasks.
MS and 3+ years of work experience focused 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 data and using active learning and other methodologies.
Experience with larger models (e.g., 1B+ parameters).
Experience with databases like PostgreSQL, SQL, MySQL.
Experience with front-end prototyping tools such as Streamlit and Dash.
Experience with cloud ML platforms like Vertex AI, Azure AI, and SageMaker.
Publications in top-tier conferences are highly desirable.

Establish and empirically demonstrate 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 transfer learnings into Snorkel products.
Work closely with design partners to validate work on real-world use cases with measurable impact.
Contribute to novel research on topics of interest by collaborating with other Snorkel Research scientists and affiliate scientists.

Posted 2 months ago

📍 Bay Area

🔍 Artificial Intelligence

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.

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).

PostgreSQLSoftware DevelopmentSQLMachine LearningMySQLAlgorithmsAzure

Posted 2 months ago

🔧 Requirements