Senior Applied AI Engineer

The shape of it

In the posting’s own words

As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible. This is a high-impact problem as our customers look at us to deliver the most out of their data.

What it asks for · 4

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies
• Strong understanding of both computer systems and statistics
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.

Tools and skills named

Words the posting leans on

• models6×
• engineering4×
• infrastructure4×
• products4×
• systems4×
• experience3×
• production3×
• ai/ml2×
• applied ml/ai2×
• beyond2×
• data2×
• deep2×
• deployment2×
• engineer2×
• feature2×
• forecasting2×

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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