ML Engineer — RL & Data Dashboards | Flexible Remote

Energy Innovation Corp; Pasadena (CA); Hybrid; USD 113,000 - 163,000; Full time

Benefits offered by this job

401(k) matching

Flexible remote options

Job summary

Public Policy Institute in Pasadena, CA seeks a Machine Learning Engineer to own a continuous learning design, combining 3 years of expertise with a salary of $113,000–$163,000. The role offers full project ownership and a supportive team.

You will pull RL telemetry into dashboards, lead the SQL migration, and mentor others while addressing latency and undocumented RL services. Remote options are flexible.

Qualifications

• Solid SQL grounding with ability to optimize queries
• Familiarity with Hugging Face tooling and transformers
• Self-direction to work independently in a collaborative team
• Attention to detail with a commitment to accuracy
• Track record of delivering under deadlines

Responsibilities

• Pull Reinforcement Learning telemetry into dashboards.
• Lead the SQL migration to retire legacy stack.
• Mentor mid-level hires on Hugging Face integration.
• Hunt down latency spikes and optimize performance.
• Decode undocumented RL service and improve reliability.
• Tune database queries and schemas for high-throughput workloads.
• Translate Time Series Analysis metrics into leadership dashboards.

Skills

SQL grounding

Hugging Face

Self-direction

Detail-oriented

Deadline-driven

Tools

Hugging Face

Job description

Public Policy Institute in Pasadena, CA seeks a Machine Learning Engineer to own a continuous learning design, combining 3 years of expertise with a salary of $113,000–$163,000. The role offers full project ownership and a supportive team.

You will pull RL telemetry into dashboards, lead the SQL migration, and mentor others while addressing latency and undocumented RL services. Remote options are flexible.