Machine Learning Solutions Engineer

Snorkel AI is seeking a Machine Learning Solutions Engineer to join their fast-growing GTM team. The ideal candidate will act as a trusted advisor to prospective and existing customers, owning the technical aspects of the sales cycle and designing and leading a tailored and business value-aligned technology evaluation process. They will also serve as the primary customer-facing technical resource during technology evaluations and work with the broader team to continue building Snorkel Flow into the leading platform for data-first AI. Preferred qualifications include 2+ years of experience in customer-facing technical roles, expertise in modern machine learning frameworks and technologies, and outstanding presentation skills to both technical and executive audiences.

• Machine Learning Solutions Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process
• Serve as our first line expert educators on the Snorkel Flow Platform, building demos and presentations for customers and field experts
• Act as the primary customer-facing technical resource during technology evaluations
• Serve as a trusted advisor on AI; enable customers to solve complex data science problems using Snorkel Flow – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
• Work on complex ML problems and support successful execution of POCs and production implementations in Snorkel Flow
• Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions
• Collaborate and maintain a close working relationship with our co-founders, product, engineering, sales, and marketing
• Systematize and playbook pre-sales activities, such as demo and POC assets.

• 2+ years of experience in customer facing technical roles (can include sales at a B2B software company or DS/ML consulting)
• Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)
• Knowledge of industry standard technologies in the Data Science and Machine Learning space
• Fluency with scripting in Python
• Hands-on experience building and implementing machine learning or AI models
• Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Ability to connect a customer's specific business problems to Snorkel’s differentiated platform and unique approach to ML development.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.