Course Hero is scaling! We are looking for a Senior Platform Engineer – Machine Learning who can help us build an end-to-end platform for scaling ML experiments, ML microservices deployment, and configuration management of ML models. You’ll be a part of the Machine Learning Product Engineering team at Course Hero and collaborate cross-functionally to ship ML products that personalize learning experiences for students and help educators create unique course content. The scalable ML systems you build will enable our product designers to bring intelligent data products to the Course Hero platform.
A Course Hero Senior Platform Engineer – Machine Learning is a high impact IC role that provides mentorship for team members, drives execution on key projects, and participates in the continuous improvement of our software systems. We expect you to thrive in a fast-paced, high-growth environment, and adapt to ever-changing business needs. You can view these videos to learn more about our engineering culture, and our company mission.
Here are some ways you’ll make an impact:
Architect, create, and maintain a scalable platform for training, deploying, and monitoring ML models, microservices, and APIs in modern containerized cloud environments.
Automate various steps in ML workflow, from model training, inference, and deployment.
Build prototypes/web apps to rapidly experiment on various versions of ML algorithms and DNN architectures for optimized content recommendations to our customers.
Partner with ML engineers, data scientists/engineers, and product engineering teams to understand business needs, find the right solution to a problem, and ship products.
Are you our Senior Platform Engineer – Machine Learning?
You have 5 years of experience working as a software engineer, with 2-3 years on a Machine Learning focused product or infrastructure.
You have 2-3 years of experience writing Python code in production
Demonstrated knowledge of SQL/NoSQL databases, RESTful APIs, and docker-containerized microservice-based architectures.
Experience with the AWS ecosystem including ML frameworks like Athena, S3, EMR Spark, Sagemaker, Tensorflow.
Experience with Docker, Kubernetes or similar orchestration and configuration management
Bonus Points (start each bullet point with an action verb)
Exposure to a variety of machine learning algorithms (both supervised and unsupervised) and/or experience working with ML teams in the past
BS/MS degree in Computer Science, Engineering or Math
Passionate about education
Benefits & Perks!
Competitive salary, annual bonus, and RSUs
Medical coverage, including full dental and vision
Life and disability benefits
401(k) program (US) / retirement savings plan (Canada) with company match
One month paid sabbatical after 5 years at the company
Education reimbursement
Professional development workshops & industry conferences
Paid parental leave
Flexible work schedule
Social responsibility program (volunteer time off and donation matching)
Annual wellness stipend
Monthly tech stipend
Annual family planning stipend
Quarterly snack boxes delivered to your door
Cell phone allowance
We are a virtual-first company and have employees dispersed throughout the United States and Canada. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation.
This role is eligible for hire in Vancouver (Canada), and Toronto (Canada).
Equal Employment Opportunity Statement (EEO)
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
About Course Hero:
We have an awesome team and a truly engaging culture. We are customer-focused, collaborative, responsible, gritty, and we love to learn. Our bold mission is to help students graduate confident and prepared!
We are not the only ones that think we’re onto something big. Course Hero has been recognized as one of the 2021 Top 100 Best Places to Work in the Bay Area, Top 50 Best Paying Companies in the Bay Area, Top 100 Most Transparent Companies, and in the Top 50 Most Transformational Companies in Education Technology. Read up on some of our recent news coverage, blog, and learn more about us to see what it is like to work with our team.
Join us on our mission!