Job Description

Build the future of the AI Data Cloud at Snowflake

Snowflake offers a unified platform for secure development and deployment of Large Language Models (LLMs) and Machine Learning (ML) models. Our AI and ML capabilities enable the creation of generative AI applications with fully managed, enterprise-grade LLMs, alongside comprehensive governance.

About the Role

We are seeking a Research Scientist to join our AI research team. The ideal candidate has extensive expertise in multi-modal retrieval systems and foundational vision-language models. This role involves pioneering research in data curation, model training, fine-tuning, alignment, and evaluation.

Key Responsibilities

• Conduct cutting-edge research on multi-modal retrieval systems, including text, image, video, and structured data interactions.
• Design and develop multi-modal foundation models focusing on:
  • Data curation
  • Pre-training
  • Fine-tuning
  • Alignment
  • Evaluation
• Collaborate with cross-functional teams to integrate research innovations into production solutions.
• Publish findings in top-tier conferences and journals such as NeurIPS, ICML, CVPR, ACL.
• Stay updated on latest AI/ML advancements.

Minimum Qualifications

• PhD or equivalent in Computer Science, ML, AI, or related field.
• Deep expertise in multi-modal retrieval systems and vision-language models.
• Research experience in:
  • Data curation (large-scale multi-modal datasets)
  • Pre-training (scalable foundation models)
  • Fine-tuning (adapting models for tasks)
  • Alignment (RLHF, contrastive learning, prompt tuning)
  • Evaluation (benchmarking and performance optimization)
• Hands-on experience with large-scale training pipelines and distributed frameworks.
• Proficiency in deep learning frameworks like PyTorch, TensorFlow, JAX.
• Strong Python coding skills and familiarity with scalable environments (GPUs, TPUs, distributed systems).

Preferred Qualifications

• Experience with contrastive learning, self-supervised learning, cross-modal embeddings.
• Familiarity with retrieval-augmented generation (RAG).
• Knowledge of vision-language models and their applications.
• Strong publication record.
• Experience deploying research into production.

Confidentiality & Data Security

All employees must adhere to Snowflake’s confidentiality, security standards, and data security plans.

Compensation & Benefits

• Estimated base salary: $195,000 - $287,500
• Bonus and equity plan eligibility
• Benefits:
  • Medical, dental, vision, life, disability insurance
  • 401(k) plan
  • Flexible spending and HSA accounts
  • Paid holidays and time off
  • Parental leave, employee assistance programs, and more.

How to Apply

For U.S. roles, visit Snowflake Careers for salary and benefits details.

Job Highlights

Qualifications

• Expertise in multi-modal retrieval systems and vision-language foundation models.
• PhD or equivalent in Computer Science, ML, AI, or related fields.
• Experience with data curation, pre-training, fine-tuning, and model evaluation.
• Hands-on experience with large-scale training frameworks and distributed systems.
• Skills in Python, PyTorch, TensorFlow, JAX.

Responsibilities

• Lead research in multi-modal retrieval systems.
• Develop foundation models focusing on data curation and model fine-tuning.
• Collaborate to turn research into production solutions.
• Publish in top-tier AI/ML conferences.
• Stay at the forefront of AI advancement.

Benefits

• Salary range: $195,000 - $287,500.
• Bonus and equity participation.
• Comprehensive benefits including health, retirement, paid time off.