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About the Role
Machine Learning is a cornerstone at Taskrabbit, and we're looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale.
Responsibilities
- Own the reliability and performance of our core ranking system, ensuring accurate tasker-to-job matching and optimizing First-Time Right (FTR) rates.
- Increase repeat purchase frequency through intelligent matching, personalized recommendations, and category discovery.
- Expand customer lifetime value by helping customers find and return for new service categories.
- Optimize affordability and relevance via dynamic pricing, smart segmentation, and category-specific experiences.
- Reduce friction and churn through predictive quality interventions and proactive customer success.
- Build marketplace resilience by developing systems that keep high-value customers engaged and loyal.
- Own the complete lifecycle of models—from feature engineering and training through evaluation, deployment, monitoring, and optimization in production.
- Build and maintain scalable, reliable ML infrastructure and data pipelines that support reproducible feature engineering and model deployment across real-time, near real-time, and batch contexts.
- Develop monitoring and observability systems to understand data quality and model performance in complex systems.
- Collaborate with engineering and science teams to optimize algorithms for training, inference, and evaluation.
- Write clean, efficient, and maintainable code.
- Participate actively in code reviews, documentation, and best practices across the full software engineering lifecycle.
Requirements
- BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
- 8+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
- Solid software engineering skills with proficiency in one or more programming languages, including Python.
- Proficiency in SQL is required for writing complex queries and transforming data.
- Experience building REST API-based services.
- Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.
- Familiarity with tools for Infrastructure as Code, such as Github actions, and CI/CD pipelines.
- Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
- A passion for quickly learning new technologies and a drive to solve challenging problems, and a collaborative mindset.
- Ideally, experience working in marketplace or platform contexts where ranking, matching, and pricing directly impact user experience and business outcomes.
Skills
- Machine learning
- Search
- Ranking
- Recommender systems
- Pricing/elasticity modeling
- Predictive analytics
- Python
- Scikit-learn
- lightgbm
- xgboost
- TensorFlow
- PyTorch
- SQL
- REST API
- Docker
- Kubernetes
- Kafka
- Airflow
- Snowflake
- Redshift
- BigQuery
- Data lakes
- dbt
- Github actions
- CI/CD pipelines
Location
- San Francisco
- NYC
Work Type
- Hybrid
Experience Level
- 8+ years of industry experience
Education Level
- BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field
Salary/Compensations
- $170,000 - $225,000
Benefits
- Employer-paid health insurance
- 401k match with immediate vesting (US based employees)
- Generous and flexible time off
- 2 company-wide closure weeks
- Taskrabbit product stipends
- Wellness + productivity + education stipends
- IKEA discounts
- Reproductive health support
About the Company
- Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.
- At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love.
- Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
- Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories.
- Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
Equal Opportunity
- An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
- Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status.
- Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
- Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.