Machine Learning Engineer
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Job description
Imagine yourself designing and implementing the next breakthrough AI/Machine-Learning services, enabling AI for everyone at the start of the companyâs explosive growth.
At super.AI, we are building services to enable AI/Machine Learning technologies for the masses. We are at the exciting stage where the growth of our company forces us to do aggressive hirings to realize our visions quicker. We are a group of ex-Google, Microsoft, Amazon, and MIT engineers and data scientists who spent the last 2 years creating the new programming interface for AI.
What youâll do:
- Design/implement a system orchestrating machine learning workflows
- Build SDKs to enable engineers using our platform easily
- Build tools to enable our AI engineers to be efficient in developing new AI solutions
- Explore ideas for practical and reliable models for data label quality and various label supervision sources.
What we are looking for:
- Smart, humble, hardworking, and collaborative
- By smart we donât necessarily mean high IQ (although a huge plus), but an affinity toward learning. We want to automate as much as possible so we can focus on the few things that require human intelligence and creativity.
- By humble we donât mean submissive or unambitious, we mean it in the same way Roger Federer is humble.
- By hardworking, we donât mean long hours (be with your family). What we mean is while youâre here youâre doing the best work of your life. It means being disciplined, professional, focused, gritty, resilient, and resourceful.
- By collaborative, we donât mean submissive or deferential, it means taking leadership from everywhere. âIâm taking responsibility to fix this systemâ, if thereâs a lack of trust âIâm going to address itâ if goals are unclear âIâm going to deal with itâ, itâs about being a meritocracy
- All four of the above are required. We all know people missing one of these and itâs not nice to work with them (e.g. someone who is smart and hardworking but not humble and collaborative).
- Paradoxical
- The people we like the most are smart but humble
- Wants to win no matter what, but will not cross lines of integrity to get there
- Strong beliefs weakly held, etc.
Requirements
- 3+ years of software engineering experience
- Solid foundational knowledge of Python
- Familiarity with distributed system and cloud services (AWS, Azure, GCP) is a plus
- Solid understanding of machine learning principles
- Familiarity with container frameworks such as Docker and Kubernetes
- Experience with the latest machine learning infrastructure developments is a plus
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