Growth-Driven ML Engineer | MLflow Coaching & Impact

Public Policy Institute; Chandler (AZ); On-site; USD 76,000 - 106,000; Full time

Benefits offered by this job

Benefits package

Coaching for MLflow

Job summary

Public Policy Institute in Chandler, AZ is seeking a Machine Learning Engineer who thinks in Prompt Engineering and lives in MLflow. From day one you own a slice of the technology mission and earn a salary in the $76,000 - $106,000 range.

You will pull telemetry into dashboards, shave latency, and build self-service ML tooling while pairing with cross-functional partners. The role emphasizes collaboration, disciplined documentation, and growth opportunities.

Qualifications

• Clear thinking under pressure and deadlines in Chandler, AZ.
• Team player with collaborative mindset and credit sharing.
• Strong documentation practices and tidy writing.
• Discernment to say no to good ideas at the right time.

Responsibilities

• Pull statistical modeling telemetry into dashboards for leaders to read.
• Reduce latency on the technology hot path that users feel every click.
• Backfill cultural awareness test coverage on risky code areas.
• Build cultural awareness self-service tools to reduce ticketing.
• Wrangle MLflow config across environments for parity between staging and production.
• Deliver mid-level features within the $76,000 - $106,000 mandate.
• Collaborate with cross-functional partners on internship projects.
• Monitor system health and set up production alerts.

Skills

Prompt engineering

MLflow

Dashboards

Telemetry

Test coverage

Self-service tools

Collaboration

Documentation

Tools

MLflow

Job description

Public Policy Institute in Chandler, AZ is seeking a Machine Learning Engineer who thinks in Prompt Engineering and lives in MLflow. From day one you own a slice of the technology mission and earn a salary in the $76,000 - $106,000 range.

You will pull telemetry into dashboards, shave latency, and build self-service ML tooling while pairing with cross-functional partners. The role emphasizes collaboration, disciplined documentation, and growth opportunities.