Machine Learning Practice Lead

As Snorkel's ML Practice Lead, you will play a pivotal role in driving the success of our AI applications, working directly with customers to understand their business needs and translate them into actionable data solutions. Your primary responsibility will be to lead and manage a team of skilled Machine Learning Engineers, providing guidance and direction to ensure the timely and effective delivery of projects. This role demands a strong blend of technical expertise in data science, along with exceptional communication and customer-facing skills to effectively convey complex technical concepts to non-technical stakeholders. You will be responsible for scoping project requirements, creating detailed project work plans, and setting realistic expectations for the team's performance while maintaining a keen focus on delivering measurable and impactful business outcomes. Your leadership and strategic vision will be integral in shaping the data science practice, fostering innovation, and driving growth in a dynamic and ever-evolving industry.

Main Responsibilities

• Oversee the end-to-end process of developing machine learning solutions for customers, ensuring successful deployment, integration, and customization to meet their business goals.
• Maintain our position as an industry leader by staying informed about the latest trends and advancements in data science and machine learning, and incorporating this knowledge into our products and services.
• Monitor the performance of implemented solutions, proactively identifying areas for improvement and optimization, and providing ongoing support to ensure customer success and satisfaction.
• Build and nurture strong relationships with key stakeholders, understanding their needs and aligning our machine learning solutions to address their specific requirements.
• Manage and mentor a team of skilled data scientists, fostering a culture of collaboration, innovation, and continuous learning.
• Collaborate closely with our research and product teams to exchange ideas, insights, and knowledge, ensuring seamless integration of new developments into our solutions.
• Build offerings, solutions, and capabilities that differentiate Snorkel’s position in the market.
• Represent the company at industry conferences, events, and webinars, sharing expertise and insights on data science, machine learning, and our innovative solutions.
• Collaborate with your product and field leaders to prioritize the product roadmap and execute on team deliverables
• Develop, manage and scale the teams and their processes; evangelize these processes and best practices across the organization

Preferred Qualifications

• A Master's or Ph.D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
• At least 5-7 years of experience in data science and machine learning roles, with a track record of leading successful customer-facing projects.
• 5+ years of experience using Python to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science-driven data handling; proven NLP experience preferred.
• Expertise in modern ML frameworks and libraries, e.g., PyTorch, Keras, TensorFlow, Scikit-learn, Numpy, SciPy, and transformers.
• Proven experience in managing and motivating teams, with excellent communication and interpersonal skills.
• A passion for delivering exceptional customer experiences, with the ability to understand customer needs and translate them into actionable solutions.
• A creative and forward-thinking approach, with a keen interest in exploring and implementing the latest advancements in data science.
• Ability to collaborate effectively with cross-functional teams, including research, product development, and sales.

The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $250,000.00 - $300,000.00. All offers include equity compensation in the form of employee stock options.