Model Evaluation Engineer

New

Skills

Benchmarking Cloud Infrastructure Data Pipelines Documentation Experiment Design Machine Learning Python SQL Statistical Analysis Voice Agent Technologies

We are seeking a Research Engineer specializing in Evaluations to lead the end-to-end evaluation of models. This role requires a strong foundation in machine learning fundamentals and a knack for translating complex data into actionable insights.

Key Responsibilities
  • Own end-to-end and integration-level model evaluation across accuracy, latency, and feature-specific metrics.
  • Build and maintain competitive benchmarking pipelines.
  • Design and run systematic experiments to measure the impact of model changes.
  • Onboard, curate, and maintain evaluation datasets.
  • Create evaluation subsets to stress-test specific capabilities and edge cases.
  • Define evaluation metrics for real-world performance.
  • Translate qualitative customer feedback into quantifiable evaluation criteria.
  • Collaborate with customer-facing teams to understand pain points and convert them into research priorities.
  • Maintain clean evaluation pipelines and clear documentation.
  • Identify evaluation gaps proactively and propose solutions.
Required Skills & Qualifications
  • Strong understanding of ML fundamentals: Ability to interpret results and debug issues without retraining from scratch.
  • Proficient in Python: Capable of writing clean evaluation scripts and working with data pipelines.
  • Comfortable with SQL and cloud infrastructure.
  • Good metric intuition: Understanding of effective evaluation metrics and ensuring statistical rigor.
  • Familiarity with voice agent stack, including VAD, ASR, turn detection, LLM, and TTS systems interaction.
  • Tinkerer mentality: Preference for shipping and iterating quickly.
  • Excellent communication skills: Ability to explain technical results and summarize findings effectively.
  • Ownership mindset: Proactively fill evaluation gaps.
  • Ability to work at least 3-4 hours overlapping with Eastern US Time Zone.
  • Experience in maintaining evaluation datasets and documentation.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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