Machine Learning Engineer, Power Systems Platform

Egreenservices; Reno (NV); On-site; USD 63,000 - 92,000; Full time

Job summary

Power Systems Group, based in Reno, NV, seeks a Machine Learning Engineer to elevate our platform. You will own end-to-end tech lifecycles, optimize cloud usage, and collaborate across teams to integrate tools and services.

A strong Python background and curiosity about reinforcement learning guardrails will help you thrive. Join a lean, learning-focused team that values questions as much as answers, with a flexible freelance schedule and ongoing mentorship to support growth in a fast-paced

Qualifications

• 1 year of technology cycles.
• Experience owning full technology lifecycles.
• Strong Python development skills.
• Ability to work with third-party services and internal tools.

Responsibilities

• Trim Power Systems Group's cloud bill by right-sizing the Vector Databases infrastructure in Reno, NV.
• Own the full lifecycle of technology systems from prototype to production.
• Carry a deeply collaborative Python feature through code freeze without breaking platform stability.
• Integrate third-party services and internal tools into the Power Systems Group stack.
• Translate technology compliance rules into Reinforcement Learning guardrails baked into the build.
• Champion engineering excellence and continuous learning within Power Systems Group.
• Profile Vector Databases memory use and chase down leaks crashing Reno nodes.
• Bridge Organization and Plotly so the two halves of Power Systems Group's platform finally talk.

Skills

Resilience

Integrity

Active listening

Learning new technologies

Job description

Power Systems Group, based in Reno, NV, seeks a Machine Learning Engineer to elevate our platform. You will own end-to-end tech lifecycles, optimize cloud usage, and collaborate across teams to integrate tools and services.

A strong Python background and curiosity about reinforcement learning guardrails will help you thrive. Join a lean, learning-focused team that values questions as much as answers, with a flexible freelance schedule and ongoing mentorship to support growth in a fast-paced