Temporary ML Engineer — Scale Pipelines & Alerts

Energy Innovation Corp; Evanston (IL); Presencial; USD 68 000 - 95 000; Tempo integral

Resumo da oferta

Renaissance Technologies in Evanston, IL is seeking a Machine Learning Engineer for a temporary role. The position focuses on turning on-call noise into meaningful alerts and advancing ML tooling in a fast-paced environment.

You will collaborate across teams, document architectural decisions and scale data pipelines using Snowflake, Scikit-learn, and LightGBM to reduce outages during Evanston peak traffic. This role emphasizes leadership and practical ML execution.

Qualificações

• Familiarity with LangChain and related tools.
• Team-oriented and collaborative mindset.
• At least 1 year of standing behind estimates.
• Hands-on experience with modern R workflows and tooling.
• Proven leadership experience guiding junior initiatives.
• Working understanding of both R and Emotional Intelligence.

Responsabilidades

• Turn Renaissance Technologies's Scikit-learn on-call noise into alerts that actually mean something.
• Drive the LightGBM incident postmortem that stops the Evanston outage from recurring.
• Catch the Computer Vision race conditions that surface under Evanston peak traffic.
• Document technical decisions, architecture, and APIs for the broader org.
• Scale data pipelines processing millions of events with Snowflake.
• Reverse-engineer the fast-growing Accountability format Renaissance Technologies inherited and never documented.

Conhecimentos

LangChain

Team collaboration

Estimate accuracy

R workflows

Leadership

Emotional intelligence

Ferramentas

LangChain

Descrição da oferta de emprego

Renaissance Technologies in Evanston, IL is seeking a Machine Learning Engineer for a temporary role. The position focuses on turning on-call noise into meaningful alerts and advancing ML tooling in a fast-paced environment.

You will collaborate across teams, document architectural decisions and scale data pipelines using Snowflake, Scikit-learn, and LightGBM to reduce outages during Evanston peak traffic. This role emphasizes leadership and practical ML execution.