About Private AI

Private AI is a Toronto-based startup backed by top investors in New York, Seattle, and San Francisco. Private AI has created a range of industry-leading AI solutions that make it safe to share and analyze datasets without compromising user privacy. Our cutting edge models enable developers to easily detect, redact, or pseudonymize unstructured data within their existing workflows (on-premise, public/private cloud, mobile, web). Private AI is led by a team of experts in privacy-preserving machine learning and natural language processing, driven by the goal of making privacy accessible to developers.

Job Description

Building and maintaining core features of the Private AI application
Improve existing back-end elements, such as our authentication & billing system
Maintaining a scalable developer workflow, such as our CI/CD pipeline as well as integration with our data tools
Product integrations with various customer platforms

You will work alongside our Machine Learning Engineers to:

Deploy and maintain machine learning models running in our cloud infrastructure and deployed in our customers’ environments
Maintain and improve on integration with ML tools
Validate ML engineering assumptions and solve complex problems to bring value to customers and stakeholders

There will be room for advancement as we’re a rapidly scaling company.

Why this job is awesome

We’re growing rapidly: Revenue is up 16X since last year, increasing by at least 80% quarter over quarter. Our customer base includes several large enterprises.
Nothing is on fire: Our product is successfully in production with multiple customers.
Great work-life balance: Whilst we’re a startup and overtime will be required sometimes, we heavily value work life balance and usually stick to regular hours. This is not a 60 hour per week job.
Great opportunity to get some exposure to the latest in Machine Learning.
You’ll be getting in on the ground floor as we grow and be a core member of the team.
Opportunity to travel (if desired) and to work remotely.
We’re affiliated with the University of Toronto, and you’ll get to work with some of the best & brightest minds in the field. One of our founders was part of the team that first brought Deep Learning to speech recognition in 2009. Another was responsible for some of the first Neural Networks to be implemented in assisted driving applications.
This position is compensated competitively and comes with equity.

Minimum Qualifications

Minimum 3 years of work experience in backend development
Experience building REST APIs with frameworks such as Flask, Django or FastAPI
Experience with Docker
Experience with Azure, AWS or GCP
Experience with Python and code optimization
Experience with multithreaded applications
Experience with CI/CD tools

Preferred Qualifications

Experience with enterprise scale application deployment
MLOps Experience
Experience with Hadoop
Experience with Kubernetes

Next Steps

To apply for this job, please send a short cover letter, your resume and a portfolio of your past work & projects (e.g., on GitHub) to [email hidden].
Please note that this is not an entry level role – previous work experience in backend development is a must.