WorkNow
Expedock logo

Benchmark & Evaluation Engineer

Expedock
External
Company
remote
full-time
Salary not disclosed

Posted 23 days ago

You'll complete your application on Expedock's career site.

About the Role

This AI-driven automation provider seeks to revolutionize global supply chain operations through sophisticated data infrastructure. By automating manual logistics and freight data tasks with 99.99% accuracy, the organization plays a vital role in industry efficiency. As a Benchmark and Evaluation Engineer, you will facilitate this goal by developing and overseeing the frameworks that measure and improve machine learning outcomes. Your work will involve building scalable, enterprise-grade environments and comprehensive benchmark datasets that replicate real-world conditions, such as synthetic data scenarios, seasonal shifts, and operational noise. You will collaborate with logistics and AI professionals to maintain high standards of evaluation integrity as the automated platform expands into new sectors.

Requirements

  • You need advanced proficiency in production-level SQL, specifically regarding window functions, CTEs, and query optimization.
  • You must be highly skilled in Python, particularly with libraries such as NumPy, Polars, and pandas.
  • You should have documented experience in data modeling with star and snowflake schemas, along with practical experience importing data into databases or warehouses like Postgres, BigQuery, Redshift, or Snowflake.
  • You must show a history of building intricate benchmark tasks, confirming SQL solutions, and calibrating LLM evaluation judges.
  • You are required to have experience managing large-scale semi-structured data and building realistic multi-system architectures.
  • Background knowledge in healthcare, finance, or supply chain, or experience with LLM evaluation frameworks, is a strong advantage.

Responsibilities

  • You will architect and deploy complex multi-system enterprise environments involving data lakes, warehouses, APIs, and databases.
  • You will produce calibrated datasets for benchmarking that integrate realistic elements like drift, noise, and synthetic personally identifiable information.
  • You will draft and validate benchmark assignments, manage verified SQL datasets, and build rubrics for reasoning assessments.
  • You will identify and remove data leakage and ambiguity to ensure evaluation quality.
  • You will upgrade grading mechanisms by implementing deterministic checks and LLM-based judges.
  • You will manage scalability testing for queries and oversee leaderboards with regression tracking to guarantee evaluation precision.

Benefits & Perks

  • This is a remote position located in the Philippines that follows a US-based work schedule.

Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.

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