Staff ML Engineer, Personalization Platform (0→1)

Cacheflow; New York (NY); On-site; USD 192,000 - 260,000; Full time

Benefits offered by this job

Comprehensive benefits package

Annual performance bonus

Equity options

Job summary

Databricks is looking for an experienced engineer to join their NYC team, focusing on building CustomerLake, their Customer Data Platform. The role involves leveraging machine learning for personalization and optimizing business outcomes for customers. Ideal candidates will have over 10 years of experience, a strong background in ML/AI, and a product-focused mindset.

With a commitment to diversity and inclusion, Databricks offers comprehensive benefits and a competitive salary range of $192,000 to $260,000, depending on experience and skills.

Qualifications

• Hands-on experience building and evaluating ML models.
• Strong foundation in shipping and improving ML/AI products.
• Ability to translate ambiguous customer problems into MVPs.

Responsibilities

• Evaluate ML and LLM approaches for CustomerLake.
• Understand how models behave in production.
• Optimize platform for real business value.

Skills

Machine Learning Expertise

Python Proficiency

Personalization Techniques

Hands-on ML/AI Experience

Data Analysis

Education

10+ years of engineering experience

Tools

PyTorch

ML frameworks

Job description

Databricks is looking for an experienced engineer to join their NYC team, focusing on building CustomerLake, their Customer Data Platform. The role involves leveraging machine learning for personalization and optimizing business outcomes for customers. Ideal candidates will have over 10 years of experience, a strong background in ML/AI, and a product-focused mindset.

With a commitment to diversity and inclusion, Databricks offers comprehensive benefits and a competitive salary range of $192,000 to $260,000, depending on experience and skills.