Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems

About the role

• About Our Client:

The organization builds tools aimed at creating an economy accessible to all by addressing gaps in commerce, financial services, and digital platforms. It operates multiple brands that focus on different economic aspects, including payment processing, money management, customer spending, music platform empowerment, bitcoin custody, and bitcoin mining products. Together, these efforts contribute to a financial system designed to be open and inclusive.

• About the Opportunity:

The Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems role involves developing and managing production machine learning systems that transform customer behavior and product data into dependable signals for use in recommendations, ranking, decision-making, and customer intelligence. This position supports multiple teams by providing reliable model-derived data that informs growth, fraud prevention, risk management, and product decisions.

• Responsibilities:

Build and maintain production ML systems that generate trusted signals and decision capabilities from customer and product data.

Define data and signal contracts specifying their use, freshness, provenance, and reliability.

Manage end-to-end processes for ranking, retrieval, recommendation, search, propensity, and next-best-action systems.

Assess customer and business impact considering factors such as trust, fairness, risk, compliance, and long-term engagement.

Collaborate with cross-functional teams to translate goals into measurable ML system designs.

Utilize AI tools to enhance development, analysis, testing, documentation, and operational workflows.

• Requirements:

Over 12 years of experience building and operating production software and ML systems for critical business products.

Expertise in intelligent systems including ranking, recommendations, search, personalization, customer intelligence, and decision models.

Strong judgment in production ML areas such as feature pipelines, model serving, experimentation, monitoring, and feedback loops.

Ability to evaluate broader impacts beyond short-term metrics, focusing on trust, fairness, risk, and compliance.

Experience with AI-assisted engineering tools, ensuring proper verification and testing.

• Pay Range and Compensation Package:

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.