Here's what you'll do as part of the team- Translate customer, marketplace, and business problems into clear ML objectives, features, models, and measurement plans.
- Build, deploy, and iterate on production machine learning models across ranking, personalization, renter intent, demand-side acquisition, and supply-side optimization.
- Own projects end-to-end - from feature engineering and model development through A/B experimentation, launch, and monitoring.
- Apply a strong statistical mindset to model development, evaluation, causal inference, and tradeoff analysis.
- Partner with Product, Engineering, and Analytics to align on success metrics, deployment plans, and downstream impact.
- Communicate technical findings and model tradeoffs clearly to both technical and non-technical stakeholders.
- Leverage AI tools to improve your productivity across coding, analysis, documentation, and workflow automation.
Here are the skills and experience you'll need to be successfulMust-haves- 4+ years of industry experience developing and deploying machine learning models in production, end-to-end.
- A degree in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Economics, Physics, or a related quantitative field.
- Deep proficiency in Python and SQL, with comfort across the full model development lifecycle.
- Familiarity with standard ML libraries and frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.
- Experience working with cloud platforms (GCP preferred but not required).
- Strong grounding in statistical learning, experimental design, and model evaluation.
- Ability to work through feature engineering, feature selection, hyperparameter tuning, and model optimization independently.
- Comfort communicating and collaborating with cross-functional partners across Product, Engineering, and Analytics.
Nice-to-haves- Experience in a two-sided marketplace or multi-stakeholder environment.
- Background in recommendation systems, ranking, personalization, or search.
- Familiarity with MLOps practices, model monitoring, Airflow, dbt, or similar infrastructure.
- Experience with performance marketing models, paid acquisition, or supply-side optimization.
- A master's degree or higher 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.
Here's the Pay Range:At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is:
- Zone 1: $189,000 - $230,000 TTC (including $170,000 - $202,000 base salary) + equity
- Zone 2: $175,000 - $212,000 TTC (including $158,000 - $186,000 base salary) + equity
- Zone 3: $161,000 - $195,000 TTC (including $145,000 - $172,000 base salary) + equity
This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer.
We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.
Here's what's in it for you (full-time US based employees only; does not apply to contract roles): - 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
