Macro-Eyes is recruiting for a Fullstack Engineer to build interfaces that allow users to engage Macro-Eyes AI and influence how crucial systems function. Your work will allow our users to be the 'experts in the loop.' You will structure and implement interfaces from start to finish that will allow decision makers to understand how our software makes decisions, to guide them to better understand the system at hand (whether a supply chain or health system) and to interact with the AI. Ultimately the interfaces will play a crucial role in refining the most effective allocation of resources across whole countries, health systems and orchestrating the precision matching of supply to demand.
The Fullstack Engineer will collaborate with Program Management teams to understand business requirements and MLops and ML team to understand technical requirements. You will further collaborate with your peers on the team to design and define the solution and implement it.
The Macro-Eyes team is spread across Africa, Europe, and North America. We believe in recruiting the best talent in the world, regardless of location. This role will be fully remote with the freedom to choose how and when to work. Our remote team was executing at the highest level before COVID-19, and we expect to continue to be a fully remote, high-performing team. You will have access to your choice of hardware and a travel budget to interact with the distributed team in person.
Competitive compensation and generous benefits.
Macro-Eyes has a rigorously horizontal culture that values diversity of every kind, and we are dedicated to building an inclusive workforce where diversity is valued. Macro-Eyes is an equal opportunity employer. Every qualified applicant will be considered for employment. Macro-Eyes does not discriminate based on race, color, religion, gender, gender identity or orientation, genetic information, age, national origin, marital status, disability status, political ideology, military or protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Disclaimer: Due to large volumes of applicants, only shortlisted candidates will be contacted.
Warning: the work will not be like doing data science at Big Tech: the data will not be pristine and what’s required for success is much harder than throwing a series of models at the problem. We expect you to think in terms of hypotheses and experimental design like a scientist and have the drive and ingenuity of a hacker with hands-on experience building predictive models.
If you do have a Github profile, kindly include your work reference or link in your resume.