Added
22 days ago
Type
Full time
Salary
Salary not provided

Related skills

sql python machine learning data validation scikit-learn
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πŸ“‹ Description

  • Build and maintain a shared evaluation platform that supports research, engineering, and Applied AI
  • Develop and continuously improve benchmark suites, curated datasets, and model comparisons to
  • Establish rigorous evaluation standards covering statistical metrics, validation strategies, data
  • Design reproducible evaluation pipelines with version-controlled inputs, datasets, and artifacts
  • Benchmark models against competing approaches using fair and consistent protocols for
  • Evaluate predictive performance, inference latency, and cost efficiency across deployment

🎯 Requirements

  • Proven experience owning the evaluation of tabular machine learning systems used in production
  • Strong statistical expertise, including selecting appropriate metrics and validation schemes
  • Practical experience identifying and preventing data leakage involving preprocessing, feature
  • Strong proficiency in Python and SQL, with familiarity with scikit-learn, gradient-boosted decision
  • Demonstrated experience designing fair and reproducible model comparisons, including hyperparameter
  • Previous people management experience, including hiring, technical mentoring, team development, and

🎁 Benefits

  • Competitive compensation package combining salary and equity.
  • Comprehensive health coverage for employees and their dependents.
  • Paid parental leave for all new parents, including adoptive and surrogacy journeys.
  • Relocation assistance for employees moving to join the team at one of the company's office
  • Remote working opportunities across eligible locations in Europe and Israel.
  • The opportunity to establish evaluation standards and build a new function from the ground up, with

🚚 Relocation support

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