Job Application for Machine Learning Engineer at Outschool

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The Company:

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.

Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning.

About the Role:

We are an effective team of fully remote engineers distributed across the US and Canada. Our philosophy is to start small and then intentionally iterate to test our assumptions 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.

We work in modern JavaScript (TypeScript), React, GraphQL/Apollo, and Node, backed by PostgreSQL. Our marketplace search is powered by OpenSearch .

We believe that the future of education is hybrid: online and in-person. We are looking for engineers who are excited about inspiring children to learn by building tools that allow children to access a fundamentally different learning experience. We value hands-on experience most of all. If this opportunity sounds fun and interesting to you, feel free to apply!

Core Responsibilities:

Collaborate with a team of Engineers, Product Managers, Data Scientists, and Designers to improve class search and recommendations for parents, learners, and educators
Develop, train, evaluate, and maintain machine learning models in Python
Identify opportunities for improving ML modeling, training and evaluation techniques
Work with the team to gather requirements, day-to-day activities such as daily standups, sprint planning, retros, deploying features in production and on-call

Desired Skills and Responsibilities:

2+ years of experience working as an engineer or data scientist
Experience working with databases such as PostgreSQL and Redshift
Willingness to mentor others in what you know

Other Considerations:

Previous experience in startups
Previous EdTech or search engineering experience
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. For New York and California candidates, as well as candidates based in Seattle, WA the salary range for this role would be $160,000-$236,500For Washington candidates outside of Seattle, as well as Colorado candidates, the salary range for this role would be $144,000-$212,850.

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.

Benefits & Culture:

At Outschool, we believe that taking care of one another enables us to do our best work. To us that means:

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.

If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.

Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.

Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.

Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

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Machine Learning Engineer

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