Cloud AI Data Engineer
1 day ago
We are seeking a highly skilled technical leader to help build the future of the AI Data Cloud at Snowflake Computing.
The ideal candidate will have 8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks.
About the Role:
- Define and own the roadmap for the AI Data Cloud, working collaboratively with senior architects, PMs, and team leadership.
- Develop distributed training infrastructure to train and fine-tune Large Language Models (LLMs).
- Optimize inference processes to efficiently serve LLMs.
- Create alignment in RHLF for LLMs.
- Collaborate across other engineering partner teams to improve LLM development velocity and capabilities.
Responsibilities:
- Design and implement scalable machine learning solutions that meet business requirements.
- Develop technical strategies to support the growth of the AI Data Cloud.
- Collaborate with data scientists, business analysts, and machine learning infrastructure to connect the dots between business and technology partners.
- Support team members in delivering high-quality results.
Requirements:
- 8+ years of industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services, and frameworks.
- Experience modeling in pre-training & fine-tuning foundation models.
- Strong track record of working with machine learning systems and/or platforms.
- Experience with several of the following frameworks: SKLearn, XGBoost, PyTorch, Tensorflow.
- Fluent in Python. C++ and Java experience is a plus.
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Compensation:
- The estimated base salary range for this role is $214,000 - $327,750.
- This role is eligible to participate in Snowflake's bonus and equity plan.
The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
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