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RESPONSIBILITIES:
Help define and own the roadmap, working collaboratively and proactively with senior architects, PMs and team leadership. The initiatives include platforms and tools that enable customers to do state of the art machine learning on Snowflake natively.
Collaboratively develop distributed training infrastructure to train and fine tune LLMs
Work on inference optimizations to efficiently serve LLMs
Create alignment in RHLF for LLMs
Collaborate across other engineering partner teams to continuously improve LLM development velocity and capabilities at Snowflake.
Support team members in delivering a high level of technical quality.
IDEAL REQUIREMENTS & QUALIFICATIONS:
Have 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.
Have worked well with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners.
BS/MS/PhD in Computer Science or related majors, or equivalent experience
The following represents the expected range of compensation for this role:
The estimated base salary range for this role is $214,000 - $285,000.
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The following represents the expected range of compensation for this role:
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