Senior Applied ML Engineer - ML4Sys

The shape of it

In the posting’s own words

As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers.

What it asks for · 9

• Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc).
• ML Experience: Strong background in building, training, and deploying machine learning models in production.
• Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks.
• Core Coding: Proficiency in Python, Scala, or Java.
• Advanced Education: PhD in AI, Data Science, or a related technical discipline.
• Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment.
• Systems Domain: Strong understanding of computer architecture, distributed computing, cloud compute, database internals, or networking.
• Optimization: Experience with operations research, forecasting, markov decision processes, or other optimization algorithms for sequential decision making.
• Scale: Proven track record of optimizing large-scale distributed systems or cloud infrastructure via data-driven approaches.

Degree language

• Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc).
• Advanced Education: PhD in AI, Data Science, or a related technical discipline.

Tools and skills named

Words the posting leans on

• systems6×
• data4×
• distributed4×
• experience4×
• infrastructure4×
• machine learning4×
• optimization4×
• applied3×
• cloud3×
• computer3×
• efficiency3×
• engineering3×
• models3×
• product3×
• scale3×
• advanced2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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