Mighty AI is a data management platform for autonomous vehicle perception data. We provide all the software, expertise, and expert annotators needed to create ground truth datasets for vehicle perception models. We convert raw, unlabeled data into useful high-quality data, pairing machine learning with human intelligence to revolutionize how companies manage perception data and create ground truth data to train and validate their models. Mighty AI has the world’s greatest venture capitalist backing us on this journey: Accenture, Foundry, Google Ventures, Intel Capital, Madrona and NEA
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.
Responsibilities:
- 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.
Required:
- 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
Nice-to-Have’s:
- Proficiency with Python, SQL, and / or Javascript
- Experience developing microservices
- Experience prototyping and experimenting systems prior to full-blown development
- Familiarity with / enthusiasm for predictive modeling systems
by via developer jobs - Stack Overflow
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