We offer you a vital role in our research team, where you’ll work with highly professional and innovative engineers and scientists.
The team is responsible for advancing our platform’s ability to detect accessibility issues, enhance usability, and build new products using classic algorithms, data analysis, machine learning, and generative AI.
We are committed to creating high-impact products for our customers and value scientific and engineering excellence.
If you want to play a crucial role in the team and positively impact the world, we are the right place for you.
Your Impact and Responsibilities:
Developing solutions for archiving web pages and capturing initial state and interactive sessions
Enhancing and maintaining data collection infrastructure
Managing data and creating datasets
Building ML pipelines and optimizing models for server-side (python) and client-side (node) deployments
Creation of annotation tools, research utilities, scripts, and user feedback features
The team is responsible for advancing our platform’s ability to detect accessibility issues, enhance usability, and build new products using classic algorithms, data analysis, machine learning, and generative AI.
We are committed to creating high-impact products for our customers and value scientific and engineering excellence.
If you want to play a crucial role in the team and positively impact the world, we are the right place for you.
Your Impact and Responsibilities:
Developing solutions for archiving web pages and capturing initial state and interactive sessions
Enhancing and maintaining data collection infrastructure
Managing data and creating datasets
Building ML pipelines and optimizing models for server-side (python) and client-side (node) deployments
Creation of annotation tools, research utilities, scripts, and user feedback features
Requirements:
5+ years experience in data engineering and MLops – dataset management, annotation tools, experiment tracking, model training and deployment pipelines
Ability to write and reason about clean and modular code, especially in Python
Experience with cloud solutions (GCP (preferred)/AWS/Azure) and docker
Experience with web and web automation technologies – DOM API, HTML, Node JS, Puppeteer – Advantage
Experience with GitHub Actions – Advantage
Knowledge of ML frameworks like Tensorflow/PyTorch – Advantage
BA / BSc in computer science or a quantitative field or equivalent experience.
Soft Skills:
Independent, autodidact with a creative mindset.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Willingness to work in multiple environments and shift between them.
5+ years experience in data engineering and MLops – dataset management, annotation tools, experiment tracking, model training and deployment pipelines
Ability to write and reason about clean and modular code, especially in Python
Experience with cloud solutions (GCP (preferred)/AWS/Azure) and docker
Experience with web and web automation technologies – DOM API, HTML, Node JS, Puppeteer – Advantage
Experience with GitHub Actions – Advantage
Knowledge of ML frameworks like Tensorflow/PyTorch – Advantage
BA / BSc in computer science or a quantitative field or equivalent experience.
Soft Skills:
Independent, autodidact with a creative mindset.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Willingness to work in multiple environments and shift between them.
This position is open to all candidates.
