Deeply understand customer, marketplace, and business problems through the lens of data, and translate that understanding into clear ML objectives, features, models, and measurement plans.
Deliver and deploy end-to-end machine learning models, from problem framing and feature engineering through model development, experimentation, launch, monitoring, and iteration.
Build zero-to-one models in areas where heuristics or business rules are still in place, and improve existing production models across demand, supply, ranking, personalization, renter intent, and marketplace optimization.
Apply a strong statistical mindset to model development, experimentation, causal inference, tradeoff analysis, and decision-making.
Lead ambiguous, high-leverage technical work: define scope, evaluate approaches, manage tradeoffs, and align stakeholders around a clear path forward.
Partner closely with Product, Engineering, Design, Analytics, Marketing, GTM and Growth to build ML systems that drive renter value, property partner success, and business performance.
Communicate ML opportunities, tradeoffs, and results clearly to technical and non-technical audiences, including senior stakeholders.
Mentor and collaborate with other data scientists, helping raise the quality of our modeling, experimentation, and analytical practice.
Thoughtfully leverage modern AI tools to improve productivity across coding, analysis, documentation, and workflow automation.
What you’ll bring
7+ years of industry experience, or equivalent experience, developing, deploying, and iterating on machine learning models in production.
A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative field.
Deep proficiency in Python and SQL, with comfort working across the full model development lifecycle.
Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar tools.
Experience working with cloud platforms; GCP experience is preferred but not required.
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics.
Strong technical and theoretical grounding in statistical learning, modeling, experimental design and analysis, and causal inference.
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Strong ability to work through feature engineering, feature selection, hyperparameter tuning, model evaluation, and model optimization.
Ability to quantitatively research opportunities, define technical strategy, set clear scope, manage timelines, and drive measurable outcomes.
Comfort communicating and collaborating with cross-functional audiences across Product, Engineering, Design, Analytics, Marketing, GTM and Growth and senior business stakeholders.
Curiosity, judgment, and a hunger to dig into uncharted territory and make a meaningful impact.
Bonus points for
Experience optimizing within a two-sided marketplace or similarly complex multi-stakeholder environment.
Background in recommendation systems, ranking, personalization, search, or matching.
Experience with performance marketing models, paid acquisition, supply-side optimization, or marketplace incentives.
Familiarity with MLOps practices, ML engineering workflows, model monitoring, Airflow, dbt, or similar infrastructure.
A master’s degree or PhD in a relevant quantitative field.
What’s in it for you
Impact: Work on ML systems that directly shape the renter experience, property partner outcomes, and company performance.
Ownership: Build and own models end-to-end, from ambiguous opportunity through production launch and iteration.
Exceptional colleagues: Our hiring bar is high, and your teammates are talented, motivated, collaborative, and intellectually curious.
Influence: Have a strong voice within R&D and across the business, helping shape product, marketplace, and company strategy through data science.
A critical function: Help build and scale one of the most important technical capabilities at Apartment List.
Culture: Work in a virtual-first environment that allows you to work from anywhere in the U.S.
Zone 1: $231,000 - $280,000 TTC (including $203,000 - $238,000 base salary) + equity
Zone 2: $214,000 - $259,000 TTC (including $188,000 - $220,000 base salary) + equity
Zone 3: $196,000 - $238,000 TTC (including $172,000 - $202,000 base salary) + equity
Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
Unlimited Flexible Time Off: Unlimited FTO in addition to 12 company holidays per year, quarterly “recharge” days, and a week-long holiday break
Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
Parental Support: Generous parental and family leave, fertility benefits, and employer-sponsored stipends towards family forming services
401k Plan: To support you in your individual retirement goals
Team Events: Frequent team-building events, fun team off-sites, and bi-annual company meetups
Commitment to DEI: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
Impact and Visibility: To expose you to and provide the opportunity to work on highly strategic initiatives that will transform the business
Encouragement and Empowerment: To explore and adopt new technologies and drive meaningful decisions and outcomes
At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness.
