Machine Learning Engineer — Mentor-Guided Growth & Impact

Energy Innovation Corp; Burbank (CA); On-site; USD 76,000 - 123,000; Full time

Job summary

Wealth Solutions Inc in California seeks a Machine Learning Engineer to push our platform to the next level. Pair bias-to-action with 1+ years of clustering work as you improve models, optimize Databricks workflows, and reduce latency for our global users at Burbank, CA.

Interviews for Burbank, CA candidates are being booked this month. We offer a mentor-driven growth path, a base salary range of $76,000–$123,000, and a supportive environment that encourages fast learning and practical impact on

Qualifications

• 1+ years applying clustering in a technology setting.
• Strong time-management skills and bias toward action.
• Foundational knowledge of negotiation accumulated over 1+ years.
• Ability to manage competing priorities under tight deadlines.

Responsibilities

• Guard the SQL codebase quality through reviews that teach as much as they catch
• Automate Databricks chores to reduce engineering hours in Burbank, CA
• Set the negotiation coding standards the rest of Wealth Solutions Inc engineering follows
• Shave milliseconds off the technology hot path that Wealth Solutions Inc users feel every click
• Keep the Keras build pipeline green so Burbank deploys never wait on a red light
• Lead the Presentation Skills migration that retires Wealth Solutions Inc's supportive legacy stack
• Support migration of on-premise services to cloud-native architecture

Skills

Clustering

Time-management

Negotiation

Prioritization

Tools

Keras

Databricks

SQL

Job description

Wealth Solutions Inc in California seeks a Machine Learning Engineer to push our platform to the next level. Pair bias-to-action with 1+ years of clustering work as you improve models, optimize Databricks workflows, and reduce latency for our global users at Burbank, CA.

Interviews for Burbank, CA candidates are being booked this month. We offer a mentor-driven growth path, a base salary range of $76,000–$123,000, and a supportive environment that encourages fast learning and practical impact on