ML Engineer - Remote Flex & Growth Ladder

Energy Innovation Corp; Rock Springs (WY); Remoto; USD 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible remote work

Paid volunteer days

Clear opportunities for advancement

Descrizione del lavoro

Energy Innovation Corp in Rock Springs, WY is hiring a Machine Learning Engineer to help reimagine how millions interact with technology. The role offers a salary range of $70,000–$100,000 with flexible remote work, volunteer days, and upward mobility within the company.

You will contribute to scalable ML features and data tooling in a growth-driven environment. This mid-level position emphasizes project ownership, collaboration, and delivering robust, production-ready models and analytics

Competenze

• Must be comfortable owning a number that can move with your work.
• Detail-oriented attitude with eagerness to learn new skills.
• Flexible approach as business needs evolve.

Mansioni

• Lead Stress Management design reviews to catch costly mistakes before they occur.
• Carry an R feature through code freeze without breaking BDO stability.
• Support migration of on-premise services to cloud-native architecture.
• Keep Power BI schemas backward-compatible to avoid breaking upgrades.
• Configure and manage infrastructure as code across staging and production.
• Evaluate and recommend new tools, frameworks, and R libraries.
• Carry features from idea to Rock Springs, WY production without losing momentum.
• Deliver high-trust Statistical Modeling features aligned with the tech roadmap.

Conoscenze

Ownership of metrics

Detail-oriented

Adaptability

Empathy & feedback

Time management

Bias toward action

Descrizione del lavoro

Energy Innovation Corp in Rock Springs, WY is hiring a Machine Learning Engineer to help reimagine how millions interact with technology. The role offers a salary range of $70,000–$100,000 with flexible remote work, volunteer days, and upward mobility within the company.

You will contribute to scalable ML features and data tooling in a growth-driven environment. This mid-level position emphasizes project ownership, collaboration, and delivering robust, production-ready models and analytics