Lead Ai / Ml / Data Science Engineer

Founding Teamsis a stealth AI Tech Incubator. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing, and operations staff to create and launch their products.

The ideal candidate will have a passion for next-generation AI tech startups and working with great global startup talent.

- Build prototype AI/ ML models and tools to help us understand our customers and create personalized customer recommendations across multiple use cases and productize solutions to scale

- Deeply understand customers, their behaviors and pain points, and develop a diversity of AI models addressing an array of customers’ needs

- Translate business needs into AI/ML problems and create innovative solutions to advance our business goals

- Determine the types and amount of data needed and work with the data engineer to identify data sources and ingest into data lake

- Structure, standardize, and annotate data into processable formats for ML; enrich data with necessary attributes to allow sophisticated personalization

- Help shape the way our data science team does work - researching and making key decisions about what we build, how we build it, and which tools are best for solving our problems

- Work alongside software and data engineers to implement data processing and visualization systems that make data readily available and simplify how insights are communicated

- Evaluate the performance of AI models and make tradeoffs against quality metrics

Investigate, and resolve performance issues in a timely manner

Requirements

- Bachelor’s or Master’s degree in Mathematics, ML, statistics, Computer Science, Software/Data Engineering, or a related field

- Strong mathematical background in probability, statistics, and optimization algorithms.

- Experience in building machine learning models and deploying them to production to make real decisions, then measuring the impact of these decisions.

- Deep understanding of and have applied various machine learning techniques for solving real-world problems.

- Expertise with advanced programming skills in Python, Java or any of the major languages to build robust algorithms

- Proficient with SQL and can work “full stack” to integrate solutions with our data ecosystem

- Confident in taking ownership of projects from start to finish and enjoy the process of turning nebulous ideas into reality

- Excellent communication skills

- A self-starter who drives projects and builds strong relationships with stakeholders and teams to tackle large cross-functional efforts

- Thrive with minimal guidance and process

- Worked in both small teams/incubators and large corporations