Reinforcement Learning & Controls Engineer

This is a builder-analyst role. You will research markets and revenue programs, but you will also ship production Python into our pricing and billing systems. Backend engineering is required; occasional small frontend improvements are helpful.

What you'll do

• Own customer-site pricing from raw interval data through system sizing and a defensible savings estimate.
• Maintain our tariff and program library across utilities and markets.
• Model demand-charge savings, ICAP, demand response, arbitrage, and other revenue streams.
• Compare modeled and realized performance at live sites, then improve our models and guarantee assumptions.
• Evaluate expansion across ISO-NE, NYISO, PJM, and eventually ERCOT.
• Build market and event forecasts and help integrate them into QoreAI.
• Ship tested backend code into the pricing tool and billing engine.

What you'll bring

• Experience building storage, DER, electricity-market, or utility-rate models.
• Strong Python and the ability to ship production code, not only notebooks.
• The ability to translate tariffs and market rules into working models.
• Sound commercial judgment and independence on ambiguous problems.
• A desire to work full-time and in person with a small team.

Nice to have ISO-NE, NYISO, PJM, LP/MILP optimization, solar or storage development, settlement reconciliation, or lightweight frontend experience.

Why EQORE Work with real systems across three states, see your models tested against real bills and program payments, and shape how EQORE enters new markets. Your work directly affects what we sell and what we can confidently guarantee.