Job brief Director of Machine Learning Minimum Years of Experience Required: 6+ Years Salary range: $200,000 - $230,000 Eligibility to Work: To be eligible for this role, applicants should be a Permanent Resident or have existing legal authorization to work in the U.S. Visa sponsorship is not available at this time. About the Role: We are looking for a Director of Machine Learning to guide our talented ML engineers and scientists. This role involves setting the technical vision for ML projects, managing resources, and ensuring the delivery of cutting-edge, production-ready AI solutions. If you have a deep understanding of machine learning, a passion for leadership, and experience driving impactful ML initiatives, we encourage you to apply. Key Responsibilities: • Lead, mentor, and grow a team of machine learning engineers and scientists, fostering a collaborative and high-performing environment. • Define and execute the machine learning strategy and roadmap, identifying key areas for ML investment and development aligned with product goals. • Oversee the design, development, and implementation of scalable and reliable machine learning models and infrastructure. • Ensure the quality, performance, and scalability of machine learning systems through the implementation of robust testing, monitoring, and MLOps practices. • Work closely with product management, engineering, and research teams to integrate ML solutions into core products and services. • Drive technical excellence within the team, promoting best practices in coding, model development, and deployment. • Manage project priorities, timelines, and resources effectively to ensure successful delivery of ML initiatives. • Communicate technical concepts and project status to stakeholders across the organization. • Contribute to the hiring and onboarding of ML talent. Qualifications: • Minimum 6 years of experience in machine learning, with substantial experience (typically 3+ years) in a leadership or management capacity. • Master's or Ph.D. in a relevant quantitative or technical field such as Computer Science, AI, Data Science, or Statistics. • Expertise in various machine learning algorithms, deep learning architectures, and their application to real-world problems. • Strong understanding of MLOps principles and experience with deploying and managing ML models in production at scale. • Experience with cloud platforms (AWS, Azure, GCP) and distributed ML training and inference. • Proven ability to lead technical teams, mentor individuals, and foster a strong team culture. • Excellent communication, presentation, and project management skills, with the ability to work effectively with technical and non-technical stakeholders. • Experience contributing to the strategic planning and execution of ML initiatives. Benefits: • 401(k) with company match • Generous Paid Time Off and Holidays • Comprehensive Health, Dental, and Vision Insurance • Stock Options or RSU program • Flexible Work Arrangements (Hybrid/Remote options) • Paid Parental Leave • Professional Development Stipend •