Posted Oct 12, 2026

AI/ML Engineer - Remote Opportunity

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About the Opportunity A fast-growing venture capital firm is expanding its use of artificial intelligence to improve how investment opportunities are evaluated, prioritized, and managed. The firm invests in innovative startups across emerging technologies and high-growth markets and is increasing its focus on AI-driven solutions to support business decisions and operational efficiency. The organization is seeking a Senior AI/ML Engineer to develop machine learning models, predictive analytics, and generative AI solutions that address complex business challenges and support strategic investment decisions. About the Role As a Senior AI/ML Engineer, you will design, build, deploy, and maintain intelligent systems that turn structured and unstructured data into actionable insights. You will develop recommendation systems, predictive models, and AI-powered workflows while working closely with Product, Engineering, and business stakeholders. This role offers the opportunity to take ownership of AI projects from initial concept through production deployment and ongoing optimization. You will also help enhance existing data platforms, evaluate emerging technologies, and integrate AI capabilities into core business processes. Key Responsibilities Design, develop, and deploy machine learning models that improve business decision-making and automate workflows. Build recommendation systems that identify and surface valuable investment opportunities, patterns, and insights. Develop predictive models using structured and unstructured datasets. Create feedback mechanisms that use user behavior, historical outcomes, and other relevant signals to improve model performance and recommendations. Collaborate with Product, Engineering, and business stakeholders to identify opportunities for AI innovation. Evaluate emerging AI technologies and implement solutions that address business needs. Enhance existing data platforms and integrate AI capabilities into core workflows. Monitor, maintain, and optimize production AI/ML systems for performance and reliability. Translate business challenges into scalable technical solutions with measurable outcomes. Take ownership of AI/ML projects from concept and development through implementation, monitoring, and continuous improvement. Required Qualifications Strong experience building and deploying machine learning solutions in production environments. Expertise in one or more relevant areas, including machine learning, predictive analytics, recommendation engines, natural language processing (NLP), or generative AI. Proficiency in Python and modern machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn, or comparable technologies. Experience working with large-scale datasets, data pipelines, and cloud environments. Ability to translate business requirements into scalable AI/ML solutions. Strong problem-solving skills and experience collaborating directly with business stakeholders. Experience managing projects throughout the development, deployment, and optimization lifecycle. Preferred Qualifications Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, or workflow automation. Experience designing systems that improve through user behavior, feedback loops, and historical outcomes. Familiarity with CRM systems, enterprise data platforms, and data integration strategies. Experience in financial services, venture capital, private equity, fintech, or other data-intensive industries. Understanding of MLOps, model monitoring, and production deployment best practices. Why Join This Opportunity? Work remotely in a flexible environment. Contribute directly to the firm's evolving AI and data strategy. Build AI solutions and intelligent systems from the ground up. Work in an entrepreneurial environment focused on innovation and continuous learning. Take ownership of projects with visibility across important business initiatives. Benefits and Equal Opportunity Available benefits for eligible associates may include medical, dental, vision, and life insurance; short-term disability; additional voluntary benefits; an employee assistance program (EAP); commuter benefits; and a 401(k) plan. Paid sick leave and other legally required leave, as well as holiday pay where applicable, may also be available. Benefit eligibility and availability depend on the employment arrangement and do not apply to client-recruited or direct-hire client positions. The employer is an Equal Opportunity Employer and welcomes qualified applicants, including veterans and individuals with disabilities. Applicants with arrest or conviction records will be considered in accordance with applicable federal, state, and local laws and relevant security clearance requirements, including applicable fair-chance laws and ordinances in California, Los Angeles, and San Francisco.