Machine Learning Engineer

You'll immediately provide value by:

• Taking ownership of coding and documentation efforts, ensuring best practices and scalability.
• Working on key models such as the Geospatial and Taste Analysis models, driving innovation and optimization.
• Leading the design, rebuild, and improvement of key machine learning pipelines with minimal oversight
• Operating as a self-motivator who thrives in a collaborative environment, where their contributions can drive significant business impact.

To be a successful match you must have:

• 3+ years of experience in Machine Learning Engineering
• A degree in Mathematics, Engineering, Statistics, Computer Science, or Physics. Advanced degree preferred but not required
• Excellent communication, collaboration skills, and ability to dive into the weeds
• Strong Python, SQL, and/or PySpark skills
• Ability to work independently and manage multiple projects simultaneously
• Knowledge and experience with statistical modeling, especially in its application for ML modeling 
• A “can-do” self-starter mentality with the ability to roll-up your sleeves, and thrive in a fast-paced, ambiguous start-up culture

What we offer:

• Potential equity package
• Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee
• 4% 401K matching
• 20 paid time off days
• 5 paid sick days
• 12 weeks of paid parental leave
• 10+ annual company holidays 
• Opportunities for professional development and growth within a dynamic environment
• A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible
• The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology
• Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired