As a leader of machine learning engineers within the Risk Machine Learning team, you drive initiatives that enable a software and machine learning-centric view on all money movement and every transaction within the growing Square seller ecosystem. This touches on actively maximizing the trade-off of revenue growth and risk using artificial intelligence. The machine learning-first software that we build optimizes decisions against every transaction and money movement within our seller ecosystem - a profound degree of impact. Such machine learning techniques touch on reinforcement learning, decision theory, deep learning sequence modeling, and optimization theory. 

You will:

• Strategically develop an operating thesis of the machine learning algorithm capabilities, software, and team against the goals of the organization. Specifically, how we can compound "reusable leverage" to guide a broader impact with "AI, first" software

• Partner closely with product managers, engineers, and organizational leadership to establish your team's vision and roadmap by thoroughly understanding your customers' needs

• Have an "owner and operator" mentality of evolving artificial intelligence driven products

• Build products, systems, and services that have immediate impact on our customers that are operated by machine learning, specifically modern deep learning architectures.

• Lead technical, design, and product discussions with other leaders across the organization and company and promote a machine learning development lifecycle culture within the team

You have:

• Relevant graduate degree or equivalent industry experience (5+ years preferred)

• Leadership experience exhibited by past experiences managing and growing teams in the machine learning environment creating growth in the evolution of products and metrics associated with team responsibilities

• Directly managed engineers for at least 2 years (including feedback, performance, hiring, and career guidance)

• Experience defining and driving toward a product roadmap for a production oriented data science and engineering team in a modern machine learning environment.

• Helping frame and chart a strategic directive and managing the execution and delivery of impactful solutions in the artificial intelligence space in a production setting.

• The ability to mentor and provide technical direction to a team of machine learning engineers and scientists while exhibiting both a technical and and product mindset.

• Healthcare coverage
• Retirement Plans
• Employee Stock Purchase Program
• Wellness perks
• Paid parental leave
• Paid time off
• Learning and Development resources