3 years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to production
Expertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning based
Additional familiarity with experimentation, computer vision, and LLMs
M.S. or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fields
Ability to communicate technical details to nontechnical stakeholders
Familiarity with Kotlin / Scala
You keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double down
The desire for impact with a growth-minded and collaborative mindset
Responsibilities
Utilize our robust data and machine learning infrastructure to build recommendation systems and implement new AI solutions to expand restaurant selection and drive their growth
Conceptualize, design, and evaluate A / ML solutions
Demonstrate a strong command of production-level machine learning, collaborating with multi-disciplinary teams to set strategy and execute to grow our business
Partner with engineering and product leaders to help shape the product roadmap leveraging AI / ML
Own the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenance
Benefits
Comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more
Location-specific base salary range : $140,100—$210,100 USD
Compensation may vary based on skills, prior relevant experience, and specific work location
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