Senior Machine Learning Engineer

Job overview

The Senior Machine Learning Engineer role is onsite in Seattle, WA. Compensation is $150,000–$220,000 per year. Grid’s mission is to build financial products that help users manage their financial future and access services such as cash, credit, spending, and tax optimization. The engineer researches data, develops and validates machine-learning models, and works with data engineering and product teams to bring models into production. The work supports product growth, fraud mitigation, risk management, and improved user outcomes while helping establish Grid’s applied science and machine-learning practices.

What you'll do

• Research and analyze proprietary and relevant datasets
• develop and validate models for growth, fraud mitigation, and risk control
• iterate on models using feedback and real-world performance
• collaborate to productionize data products
• present findings
• help build Grid’s applied science and machine-learning practice.

What we're looking for

Skills & competencies

senior machine learning engineer

seattle wa

grid

machine learning

applied science

statistical inference

predictive modeling

fraud detection

python

sql

fintech

$150k–$220k

medical insurance

401(k)

Work arrangement

• Weekend coverage required

Benefits & perks

• Medical, dental, vision, 401(k), and life insurance.

Why this role

Projects include fraud detection, risk underwriting, and predictive analytics for payout and repayment systems; technical stack includes Python, GCP, Go, protobufs, BigQuery, and MySQL.

About the employer

Grid is hiring for this role. Industry: International, Secondary Market, and All Other Nondepository Credit Intermediation. Sector: 52.