Join Grace Hill as a Principal Machine Learning Engineer and lead innovative AI projects for HelloData, driving data-driven solutions in real estate technology. Collaborate with cross-functional teams to develop scalable ML models that enhance platform capabilities and user experiences.

Grace Hill is seeking a seasoned Principal Machine Learning Engineer to spearhead the development of advanced AI features for our HelloData platform, a cutting-edge tool revolutionizing real estate data analysis and insights. In this leadership role, you will architect and implement state-of-the-art machine learning models to process vast datasets, predict market trends, and automate property valuations. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into our scalable cloud infrastructure, ensuring robust performance and reliability.

Key responsibilities include designing end-to-end ML pipelines, optimizing algorithms for efficiency, and conducting rigorous experimentation to validate model accuracy. You will also contribute to strategic roadmaps, mentor team members on best practices in ML engineering, and stay abreast of emerging technologies to maintain our competitive edge. This position offers the opportunity to make a tangible impact on the real estate industry by empowering professionals with intelligent, actionable data insights.

If you are passionate about leveraging machine learning to solve complex problems and thrive in a dynamic, innovative environment, we encourage you to apply and help shape the future of HelloData at Grace Hill.

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field; PhD preferred
• 8+ years of experience in machine learning engineering, with a focus on production-level systems
• Proficiency in Python, TensorFlow/PyTorch, and ML frameworks
• Strong experience with data pipelines, feature engineering, and model deployment (e.g., AWS, GCP)
• Expertise in NLP, computer vision, or recommendation systems relevant to data analytics
• Proven track record of leading ML projects and mentoring junior engineers
• Excellent problem-solving skills and ability to work in a fast-paced environment

• Competitive salary and performance-based bonuses
• Comprehensive health, dental, and vision insurance
• Flexible remote work arrangements with company-provided equipment
• Professional development opportunities, including conferences and certifications
• Generous paid time off and parental leave
• 401(k) matching and stock options
• Collaborative culture with team-building events