Minimum Years of Experience Required: 6+ Years
Salary range: $220,000 - $250,000+
Work Authorization: Candidates must be a Permanent Resident or already possess authorization to work in the United States. Please note, we are unable to sponsor work visas for this position.
About the Role: We are seeking an experienced Head of Machine Learning to lead our innovative ML team. The ideal candidate will have a strong background in developing and deploying machine learning models at scale, a passion for driving technological advancement in AI, and a proven ability to manage and mentor high-performing teams. Join us to shape the future of AI in our products and services, focusing on cutting-edge research translation into production systems.
Key Responsibilities:
- Provide strategic direction and leadership for the Machine Learning department, aligning ML initiatives with overall company goals and product roadmaps.
- Oversee the entire ML lifecycle, from research and experimentation to the design, development, deployment, and monitoring of robust and scalable ML models and algorithms in production environments.
- Collaborate closely with cross-functional teams (Product, Engineering, Research, Data Science) to identify high-impact opportunities for leveraging ML, define project scopes, and ensure successful integration of ML solutions.
- Drive the development and implementation of MLOps best practices to ensure model reliability, reproducibility, and efficient deployment.
- Foster a culture of innovation, knowledge sharing, and continuous improvement within the ML team, staying abreast of the latest advancements in AI research and technology.
- Manage team resources, including hiring, mentoring, and performance management, to build and retain a world-class ML organization.
- Define and track key metrics for ML model performance, system health, and business impact.
- Present ML strategies, progress, and results to executive leadership and external stakeholders.
- Manage budgets and resource allocation for the Machine Learning function.
Qualifications:
- Minimum 6 years of professional experience in Machine Learning or a related field, with significant experience (typically 3+ years) in a leadership role managing ML teams.
- Advanced degree (Master's or Ph.D.) in Computer Science, AI, Statistics, or a relevant quantitative discipline, with a strong foundation in ML theory and practice.
- Proven track record of successfully leading complex ML projects from ideation through production deployment and impact measurement in a fast-paced environment.
- Deep understanding of current ML techniques, including deep learning, reinforcement learning, and various model architectures, as well as experience with major ML frameworks (e.g., TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing for training and deploying large-scale ML models.
- Strong knowledge of MLOps principles and tools for model versioning, training pipelines, deployment, monitoring, and explainability.
- Excellent leadership, communication, and interpersonal skills, with the ability to inspire and guide technical teams and effectively communicate complex technical concepts to diverse audiences.
- Experience with budgeting and resource allocation for ML initiatives.
Benefits:
- Flexible Work Arrangements (Hybrid/Remote options)
- Comprehensive Health, Dental, and Vision Insurance
- Stock Options or RSU program
- Paid Parental Leave
- 401(k) with company match
- Unlimited or Generous Paid Time Off and Holidays
- Professional Development Stipend for conferences, courses, and certifications
- Wellness Programs and Mental Health Support
