Applied Machine Learning Engineer - Causal Inference Recommendation

Applied Machine Learning Engineer - Causal Inference RecommendationQualifications

3+ years of industry experience developing advanced machine learning models with business impact, and shipping ML solutions to productionExpertise in applied ML for Causal Inference and Recommendation Systems - both classical and deep learning basedAdditional familiarity with experimentation, computer vision, and LLMsM.S. or PhD in Statistics, Computer Science, Economics, Math, Operations Research, Physics, or other quantitative fieldsAbility to communicate technical details to nontechnical stakeholdersFamiliarity with Kotlin/ScalaYou keep the mission in mind, take ideas and help them grow using data and rigorous testing, show evidence of progress and then double downThe desire for impact with a growth-minded and collaborative mindsetResponsibilities

Utilize our robust data and machine learning infrastructure to build recommendation systems and implement new AI solutions to expand restaurant selection and drive their growthConceptualize, design, and evaluate A/ML solutionsDemonstrate a strong command of production-level machine learning, collaborating with multi-disciplinary teams to set strategy and execute to grow our businessPartner with engineering and product leaders to help shape the product roadmap leveraging AI/MLOwn the modeling life cycle end-to-end including feature creation, model development and deployment, experimentation, monitoring and explainability, and model maintenanceBenefits

Comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and moreLocation-specific base salary range: $140,100—$210,100 USDCompensation may vary based on skills, prior relevant experience, and specific work locationOpportunities for equity grants included

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