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Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human.
We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1M passionate learners with more than $100M in annual bookings.About the Role:
You would be joining Outschool’s Marketplace team which focuses on helping parents discover great classes for their learners. You’d be responsible for designing & implementing improvements to our search & recommendation algorithms, thinking through the whole process from idea through data transformation, training, evaluation, and validation on production traffic.
We are an effective team of engineers distributed across the US with a mix of ML and full-stack product engineering skills. Our philosophy is to start small and then intentionally iterate to test our assumptions with data and learn quickly. We're iteratively building up a complex product for a highly engaged audience, getting a lot done by staying focused on the work that matters.
Our ML stack is primarily Python and SQL, producing models that plug into our product built with TypeScript, React, GraphQL/Apollo, Node, and OpenSearch.
This role requires working in our San Francisco office (SoMa) 1 day a week.
Core Responsibilities:
- Design and build machine learning systems that improve search relevance, ranking, and recommendations
- Develop, train, evaluate, and deploy models in production using Python
- Partner closely with Engineering, Product, Data Science, and Design to translate user needs into ML solutions
- Iterate on models using real-world data, experimentation, and user feedback
- Improve ML infrastructure, training pipelines, and evaluation frameworks
- Contribute to end-to-end product development, including shipping features and monitoring performance in production
- Participate in day-to-day team activities, including sprint planning, daily standups, retros, deploying features in production and on-call rotations
Desired Skills and Responsibilities:
- 2+ years of experience in Machine Learning, Software Engineering, or Data Science
- Strong foundation in Python
- Comfort working with data using SQL and large-scale datasets
- Ability to reason about tradeoffs, experiment, and iterate quickly
- Strong collaboration skills and comfort working cross-functionally
- Hands-on experience with AI software development tooling
- Proficiency in crafting, testing, and refining prompts to guide generative AI models
Other Considerations:
- Experience in startup or high-growth environments
- Experience with search, ranking, or recommendation systems
- Experience working with Opensearch, TypeScript, SageMaker, Redshift, Postgres, and DBT are a plus
Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. This role is available in the following US Pay Zones:
US Tiers
US Tier 1: San Francisco Bay Area and New York City
US Tier 2: All California excluding San Francisco Bay Area, Seattle Metro, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro
US Tier 3: All other cities and states
US Pay Zones
US Tier 1: $135,000-$150,000
US Tier 2: $115,000-$127,500
US Tier 3: $101,000-112,500
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on March 21, 2024.
Please see the independent bias audit report covering our use of Covey here.
- Shared Financial Success: Competitive salaries, stock options, retirement plans.
- Health & Wellness: Comprehensive medical, dental, vision, disability, and life insurance — plus fertility/family planning coverage and access to ModernHealth coaching & therapy.
- PTO & Family Benefits: Generous PTO and family leave policies.
- Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and a new office in San Francisco. Bay Area–based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup, internet, and weekly meals to stay connected no matter where you are.
- Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes.
- Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org’s nonprofit programs.
Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.
Outschool San Francisco, California, USA Office
425 2nd St, San Francisco, CA, United States
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