Machine Learning Engineer

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

The Machine Learning Engineer we're after in Chandler thinks in Prompt Engineering, dreams in MLflow, and argues about naming conventions for sport. From day one you own a slice of the technology mission, earn $76,000 - $106,000, and lean on 4 years to move fast.

Key Responsibilities

• Pull Statistical Modeling telemetry into dashboards Public Policy Institute leaders actually open
• Shave milliseconds off the technology hot path that Public Policy Institute users feel every click
• Backfill Cultural Awareness test coverage on the riskiest corners of Public Policy Institute's codebase
• Build Cultural Awareness self-service tools so Chandler teams stop filing tickets for everything
• Wrangle MLflow config across environments so Chandler staging mirrors production
• Deliver mid-level-quality features within the $76,000 - $106,000 Machine Learning Engineer mandate
• Pair with cross-functional partners to scope and deliver internship projects
• Monitor system health and set up alerting for values-led production environments

What You'll Bring

• Clear thinking under the kind of pressure Chandler, AZ deadlines bring
• A team player who lifts up colleagues and shares credit
• A collaborative mindset and genuine enthusiasm for teamwork
• Clarity of thought that shows up in tidy documentation
• The judgment to say no to good ideas at the wrong time

Public Policy Institute has spent 5 years turning technology headaches into routine wins for clients across Chandler, AZ. The team trusts each other to do the right thing without constant oversight or micromanagement.

What we put on the table: $76,000 - $106,000, coaching for your MLflow, benefits worth having, and freedom to grow at your own pace.