Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 5+ years working as a machine learning engineer, ideally within a B2B SaaS environment.
Candidates need strong Python proficiency, advanced SQL querying with knowledge of data warehouses like Snowflake, and experience with modern ML tools such as PyTorch, TensorFlow, Spark, and MLFlow.
You'll join a diverse group of focused, hard-working people passionate about challenging and fun work while maintaining a healthy work/life balance.
This information is not specified in the job description.
Theoretical knowledge of statistical and machine learning algorithms, evidenced by an undergraduate or graduate degree in mathematics, computer science, or a related engineering discipline, is required.
Real-time analytics for digital publishers
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