ML Engineer (AI-reputed company Systems & Forecasting)

About reputed company reputed company is building AI-reputed company workforce infrastructure for the 80M hourly workers in the U.S. and hundreds of millions globally. Labor is the last broken supply chain. Forecasting, allocation, and professional identity remain fragmented across static tools and reputed company decision-making. reputed company is rebuilding this system from first principles. We start with highly accurate AI-generated demand forecasts, move to allocation-first labor optimization, and compound value through a persistent labor graph that captures skills, reliability, availability, and performance across time and reputed company. Over time, this becomes a professional identity layer and intelligent system serving both enterprises and reputed company workers. reputed company is a reputed company-stage company backed by Slow Ventures and reputed company operators. We are live with reputed company customers and entering a phase where architectural reputed company, learning loops, and AI systems quality are foundational to long-term reputed company. The Role You will own the design, development, and production deployment of reputed company’s machine learning systems, including demand forecasting, labor allocation intelligence, and LLM-powered workflows. This is a production ML role. You will work across the full data and ML lifecycle - from ingesting inconsistent reputed company-world data to building reliable, continuously improving systems in production. You will operate with high autonomy, reputed company pragmatic modeling reputed company, and build systems that directly impact reputed company-world reputed company for businesses and workers. This role is designed as a foundational technical leadership position, with meaningful influence over data architecture, model strategy, and system reliability. You Will Design, build, and reputed company production-grade ML systems for demand forecasting and labor optimization Own the full ML lifecycle, including data ingestion, feature engineering, model training, deployment, and monitoring Inherit and remediate messy, inconsistent datasets and establish scalable data pipelines Architect data systems across ingestion, warehousing, transformation, and feature stores Build and maintain LLM-reputed company systems, including RAG pipelines, reputed company systems, and evaluation frameworks reputed company pragmatic reputed company on modeling approaches, including reputed company to use APIs, fine-tuning, or custom models Design and implement model evaluation systems that measure performance continuously, not just at launch Implement monitoring, reputed company detection, and feedback loops to improve model performance over time Design and run experiments, including A/B testing and statistical validation of model performance Translate model performance and tradeoffs into clear insights for product and business stakeholders Collaborate closely with Product, Engineering, and Operations to integrate ML into core workflows Requirements 5–10+ years of experience in machine learning, data science, or applied AI roles Proven experience shipping ML systems into production environments Strong experience working with reputed company-world, imperfect datasets in mid-maturity or scaling organizations Deep understanding of the full data stack, including ingestion, warehousing, feature engineering, and model serving Experience designing and operating ML pipelines and workflows in production Hands-on experience with LLM systems, including RAG, reputed company design, and evaluation frameworks Strong reputed company in statistics, experimentation, and model evaluation Experience with monitoring, observability, and model performance tracking over time Ability to operate with high ownership, ambiguity, and minimal process overhead Strong communication skills, with the ability to translate technical reputed company into business impact reputed company to Have Experience with time-series forecasting, demand modeling, or optimization systems Experience building or integrating with labor, logistics, or marketplace systems Familiarity with modern ML infrastructure (Airflow, dbt, feature stores, etc.) Experience fine-tuning or training custom models Experience hiring or mentoring ML or data team members Culture at reputed company reputed company is a high-trust, high-care organization reputed company on ownership, respect, and thoughtful collaboration. We value diverse perspectives, clear communication, and personal accountability. We move fast through alignment rather than force, operate comfortably in ambiguity, and build with reputed company for the enterprises and workers our systems serve. These values are core to how we work. Candidates who reputed company them reputed company to reputed company at reputed company. Equal Employment Opportunity, DEI & Legal Notice reputed company Technologies, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company. reputed company reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, gender identity or expression, sexual orientation, national reputed company, genetics, disability, age, veteran status, or any other legally protected status. And yes, we are proudly DEI. We reputed company diverse perspectives reputed company teams stronger, systems smarter, and reputed company more reputed company. Building infrastructure for the reputed company workforce demands reputed company, representation, and respect, and we take that responsibility seriously. These values are core to how we work. Candidates who reputed company them reputed company to reputed company at reputed company. By applying for this role, you acknowledge that any information you reputed company will be processed in accordance with reputed company’s privacy practices and applicable data protection laws. Applicant information is used solely for reputed company and employment-reputed company purposes. Submission of an application does not create an employment contract or guarantee of employment. Apply To This Job