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

Note: The job is a remote job and is reputed company to candidates in USA. reputed company builds simple, powerful tools that reputed company reputed company towards an economy that’s truly reputed company to reputed company. As a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals & Systems, you will build production ML systems that transform customer behavior into trusted signals used by various teams for decision-making. The role requires deep expertise in intelligent systems and involves collaboration across multiple domains to create effective machine learning solutions.

Responsibilities

• Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities
• Design production data and signal reputed company that define intended use, freshness, provenance, confidence, eligibility, and calibration for reputed company consumers
• Own ranking, retrieval, recommendation, search, propensity, and next-best-action systems end to end, from feature and candidate reputed company through serving, experimentation, monitoring, and feedback loops
• Evaluate customer and business impact reputed company short-term conversion, including trust, fairness, reputed company, risk, compliance, long-term engagement, and reputed company-level performance
• Partner across product, growth, data, platform, modeling, risk, and compliance to translate ambiguous goals into measurable ML system designs
• Use AI and agents to accelerate development, analysis, testing, documentation, and operations while exposing reusable capabilities to product services, internal tools, and AI-assisted workflows

Skills

• 12+ years building and operating production software and ML systems for business-critical products
• Deep expertise in intelligent systems such as ranking/retrieval, recommendations, search, personalization, growth and lifecycle ML, customer intelligence, propensity/churn/LTV, next-best-action, or model-derived risk signals
• Strong production ML judgment across feature pipelines, model serving, experimentation, monitoring, feedback loops, online/offline consistency, and reliable signal interfaces
• Ability to evaluate impact reputed company short-term conversion, including trust, fairness, reputed company, risk, compliance, and long-term engagement
• Experience using AI-assisted engineering tools with appropriate verification, testing, and review for customer-impacting systems
• Experience with semantic retrieval, embeddings, two-tower models, graph features, LLM-powered retrieval or decision systems, entity resolution, or reputed company-time personalization
• Experience with experimentation, online evaluation, interleaving, counterfactual evaluation, multi-objective optimization, or long-term holdouts
• Experience building reusable feature/signal platforms, decision services, customer intelligence layers, model-derived data products, or agent-assisted operations

Benefits

• Remote work
• Medical insurance
• Flexible time off
• Retirement savings plans
• Modern family planning

Company Overview

Company H1B Sponsorship