Vice President, Machine Learning

At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities. 

We encourage people from underrepresented groups to apply.

Job Summary 

At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities.  We find meaning and excitement solving these problems, and we hope you do, too.          

We are looking for a Machine Learning Leader to join our high visibility, high impact Machine Learning team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers.  Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling,  Applied ML, ML Research, AutoML (Algo/Performance)  and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.

Position Location

Position is fully remote, work from home from anywhere in the United States.

Responsibilities:

Develop the R&D roadmap for machine learning products; oversee delivery of machine learning products that provide measurable value for clients by leading and guiding the technical work of data science, software engineering and machine learning engineering teams;
create and ensure adoption of best practices for designing and creating new machine learning products; maintain and grow a talented machine learning team for the company. Manage and mentor other machine learning professionals.

Requirements:

Master’s Degree in Computer Science, or related field plus 5 years of experience working with lean product development; 5 years of experience working with user research and Go to Market Strategy; 5 years of experience working with machine learning algorithms; 5 years of experience working with natural language processing; 5 years of experience working with data mining and big data technologies and 5 years of experience managing teams of employees.

Benefits

• Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
• We are 100% Distributed - work from almost anywhere 
• Competitive compensation packages
• Your health and wellness matters to us, so we offer 100% employer-paid premium options and more… 
• Physical Health: Monthly wellness reimbursement to assist with gym memberships and other related activities
• Home Office Reimbursement: Monthly allowance covering utilities (electric, internet) and related home office expenses 
• Co-Working: Monthly allowance covering expenses for co-working space
• Professional Development: Generous annual allowance, supporting your growth 
• Employee Meals: Weekly lunch allowance

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.