Founded in 2014, Mighty AI delivers the human insights which artificial intelligence (AI) engines need to see, hear, talk, and “think” like humans. Our Training Data as a Service™ platform helps companies get the accurate, high-quality datasets they need to train and scale their computer vision models. Our customers are building game-changing technology that will reshape our lives forever – and for the better! And we help them achieve this goal.
Mighty AI raised a strategic round of financing from Accenture, Foundry, Google Ventures, Intel Capital, Madrona and NEA. We are expanding and improving our innovative platform to provide superior, domain-specific training data efficiently, on demand and at scale. Our goal is to provide a dynamic, optimized combination of human and computer cognition that enables businesses to apply their AI models commercially. Along the way, we are enjoying the journey. We care deeply about not only what we achieve, but also how we do it.
To reach these goals, Mighty AI is seeking a highly motivated software engineer to join our cross-functional data science team. This person will help build, deploy, and maintain our real-time quality systems and underlying infrastructure.
Work within Ruby codebase to design, build, productionalize, and support real-time ML systems that monitor and manage the work of hundreds of thousands worldwide data annotators
Collaborate cross-functionally with computer vision experts, engineers, data scientists, product management, and customer-facing account managers to design and build new features and support existing functionality
Partner with Computer Vision experts to bring prototypes to production
As the most senior engineer on the team, mentor more junior engineers and develop and evangelize engineering best practices.
Bachelor’s or master’s degree in a technical field (computer science, math, or similar preferred)
Solid understanding of algorithms & data structures
5+ years’ experience supporting production software in a professional environment
Proficient in Ruby or relate languages
Must have experience (and enjoy) tackling difficult, complex, and sometimes highly mathematical problems that may not have easy off-the-shelf solutions
Strong self-starter, eager to learn. Must enjoy working as part of a close-knit, diverse team
Ability to thrive in a fast-paced and sometimes ambiguous startup environment
Experience developing microservices
Experience prototyping and experimenting systems prior to full-blown development
Familiarity with / enthusiasm for predictive modeling systems