Job Summary
As a Senior Machine Learning Engineer, you will be part of the core team responsible for devising novel machine learning approaches to ad filtering. The models you develop will be embedded in all our popular products like AdBlock Plus and Adblock. You will have the opportunity to work on a unique dataset containing millions of data points, and develop solutions which potentially impact not only our user base of 250 million but also tangibly contribute to the future of online tracking and privacy. As a senior member of the team, you will play a key role in defining the technical direction of our projects and collaborating with cross-functional teams to ship our features to the end users. Additionally, you have the opportunity to mentor junior engineers and contribute to their growth. The team is strategically poised and rapidly expanding its portfolio of offerings. If these aspects excite you we are looking forward to talking to you.
- Minimum Qualification:Degree
- Experience Level:Senior level
- Experience Length:7 years
Job Description/Requirements
Responsibilities
After your morning routine, you'll be expected to...
- Develop and deliver machine-learning solutions to enable automated ad filtering using state-of-the-art machine-learning models
- You also know how to strike a balance between building sustainable, high-quality products/features and releasing things quickly
- Follow best practices for software development in order to facilitate necessary technical and architectural discussions and decision-making within the team and across teams
- Mentor and onboard junior engineers of the team and enable them to contribute to the development of the project by following our prescribed coding/development standards
- Collaborate with team leads to define development milestones and translate critical business requirements into actionable development plans
What you bring to the table…
- You are a go-getter who is willing to go the extra mile in order to get things done, and your values closely align with eyeo’s vision of building a fair and more prosperous web
- At least 7 years of hands-on experience in developing large-scale end-to-end machine learning systems which are used by millions of users daily
- Strong background in data science, machine learning, software engineering, system design and related fields
- Proficient in modern deep learning architectures (knowledge of Graph neural networks is a plus) with practical experience in deploying such models on resource-constrained environments (i.e. the browser)
- At least 4+ years of experience in Python/Go/Rust
- At least 3 years of experience in Tensorflow, Pytorch or a related deep learning library. Added expertise in Tensorflow JS, Tensorflow Lite preferred
- Familiarity with CI/CD pipelines, containers and orchestration frameworks (Kubernetes)
- Hands-on experience with one of the following cloud providers - GCP, AWS, Azure etc.
- Experience in modern web application development using JavaScript/TypeScript or one of the various frameworks like - React, Vue, Angular etc. is a plus
- Experience with developing browser extensions will be preferred but not mandatory
It's awesome if you know about…
- Web standards and cross-browser extension compatibility
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