Wealth is hiring a
Applied Scientist

Summary

Wealth.com is seeking an experienced Machine Learning Manager to lead a team and develop innovative AI solutions for their estate planning platform. The ideal candidate will have a strong background in applied machine learning, leadership experience, and expertise in machine learning frameworks and libraries. Wealth.com offers competitive salary, remote work, full benefits, unlimited PTO, parental leave, company equity, 401k with match, and free estate planning.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related field
• 5+ years of experience in applied machine learning, with a focus on developing and deploying models in real-world applications
• Proven experience in managing and mentoring teams of machine learning scientists or engineers
• Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong programming skills in Python, Java, or C++
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for machine learning model development and deployment
• In-depth knowledge of modern ML and AI techniques, such as supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing
• Strong problem-solving and analytical skills, with the ability to navigate complex technical challenges
• Excellent communication skills and the ability to convey complex ideas to non-technical stakeholders

Responsibilities

• Lead, mentor, and manage a team of applied scientists and machine learning engineers
• Define the vision, strategy, and roadmap for machine learning initiatives in collaboration with senior leadership
• Oversee the entire ML lifecycle, from problem definition, data collection, and research to model deployment and monitoring
• Ensure alignment of machine learning projects with overall business objectives and key performance metrics
• Design and implement advanced machine learning models and algorithms to solve complex business problems
• Collaborate with data engineering teams to ensure robust data pipelines and scalable infrastructure for model training and deployment
• Lead the effort to move ML models from research into production, ensuring models are scalable, efficient, and reliable
• Optimize and improve the performance of existing machine learning models
• Partner with product managers and business leaders to understand key challenges and translate business problems into machine learning solutions
• Collaborate with software engineers to integrate machine learning solutions into production systems
• Foster collaboration between teams, promoting a culture of innovation and knowledge sharing

Preferred Qualifications

• Experience working in a fast-paced environment such as a tech startup or a highly innovative enterprise
• Strong understanding of MLOps practices and familiarity with tools such as Docker, Kubernetes, and CI/CD pipelines for model deployment
• Experience in specialized areas such as computer vision, NLP, or reinforcement learning

Benefits

• Competitive Salary
• Fully remote, flexible work environment
• Full medical and dental benefits
• Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged
• Paid Parental Leave
• Company equity managed through Carta
• 401k with Match and 100% vesting upon hire
• Free estate planning!