Part-Time ML Engineer — Data Viz, Tools, Impact

Filetwigbay; Spokane Valley (WA); On-site; USD 73,000 - 114,000; Part time

Benefits offered by this job

Mentorship program

Benefits package

Job summary

QuantumLeap Inc. in Spokane Valley, WA is seeking a part-time Machine Learning Engineer to tackle a backlog of challenging problems. The role focuses on Seaborn-based data visualization, driving collaboration with engineers, and delivering fixes for vision-related outages.

You will contribute to internal tooling, mentorship, and hands-on technical growth, with a strong customer-focused, interpersonal approach. The position aligns with a flexible, part-time schedule and a robust benefits suite.

Qualifications

• Proven Seaborn results, ideally in Spokane Valley, WA.
• Leadership experience guiding mid-level initiatives.
• A portfolio or work samples demonstrating technology expertise.
• Customer-focused outlook with strong interpersonal skills.
• Working understanding of Coaching and Data Visualization in real-world settings.

Responsibilities

• Pair-program tricky Communication edge cases with engineers across Spokane Valley, WA.
• Translate feedback-driven Computer Vision outage into fixes for next Spokane Valley launch.
• Carry a collaborative Data Visualization feature through code freeze without breaking stability.
• Own data integrity across QuantumLeap Inc’s Seaborn stores so Spokane Valley numbers stay accurate.
• Keep Seaborn CI under ten minutes so Spokane Valley engineers stay in flow.
• Build internal tooling to improve developer productivity and velocity.

Skills

Seaborn expertise

Leadership experience

Portfolio or work samples

Customer-focused interpersonal skills

Coaching and data visualization

Tools

Seaborn

Job description

QuantumLeap Inc. in Spokane Valley, WA is seeking a part-time Machine Learning Engineer to tackle a backlog of challenging problems. The role focuses on Seaborn-based data visualization, driving collaboration with engineers, and delivering fixes for vision-related outages.

You will contribute to internal tooling, mentorship, and hands-on technical growth, with a strong customer-focused, interpersonal approach. The position aligns with a flexible, part-time schedule and a robust benefits suite.