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Head of Machine Learning
Minimum Years of Experience Required: 6+ Years

Job brief
Head of Machine Learning
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:

1. Provide strategic direction and leadership for the Machine Learning department, aligning ML initiatives with overall company goals and product roadmaps.
2. 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.
3. 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.
4. Drive the development and implementation of MLOps best practices to ensure model reliability, reproducibility, and efficient deployment.
5. 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.
6. Manage team resources, including hiring, mentoring, and performance management, to build and retain a world-class ML organization.
7. Define and track key metrics for ML model performance, system health, and business impact.
8. Present ML strategies, progress, and results to executive leadership and external stakeholders.
9. Manage budgets and resource allocation for the Machine Learning function.

Qualifications:

1. 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.
2. 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.
3. Proven track record of successfully leading complex ML projects from ideation through production deployment and impact measurement in a fast-paced environment.
4. 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).
5. Experience with cloud platforms (AWS, Azure, GCP) and distributed computing for training and deploying large-scale ML models.
6. Strong knowledge of MLOps principles and tools for model versioning, training pipelines, deployment, monitoring, and explainability.
7. Excellent leadership, communication, and interpersonal skills, with the ability to inspire and guide technical teams and effectively communicate complex technical concepts to diverse audiences.
8. Experience with budgeting and resource allocation for ML initiatives.

Benefits:

1. Flexible Work Arrangements (Hybrid/Remote options)
2. Comprehensive Health, Dental, and Vision Insurance
3. Stock Options or RSU program
4. Paid Parental Leave
5. 401(k) with company match
6. Unlimited or Generous Paid Time Off and Holidays
7. Professional Development Stipend for conferences, courses, and certifications
8. Wellness Programs and Mental Health Support

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Air, Water, and Waste Program Management