What does dataloop do?

Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines – data labeling, automating data ops, customizing

production pipelines and weaving the human-in-the-loop for data validation.

This eliminates data challenges for companies, allowing them to focus their resources on their core business.

Our vision is to make machine learning-based systems accessible, affordable and scalable for all.

Role Overview:

Join our innovative team at Dataloop, where we are developing an AI development platform utilized by Fortune 500 companies.

The innovation team's focus blends machine learning with full-stack technologies in a dynamic, cloud-native ecosystem.

As a key member of our expanding startup, you will play a crucial role in shaping the future of our AI platform by integrating cutting-edge technologies.

This position offers a unique opportunity to combine full stack with advanced machine learning knowledge to enhance the capabilities of our platform.

What's it like to work at dataloop?

You’ll meet people of different ages coming from many different backgrounds, interests, skillsets and skill levels.

Your day can and will be dynamic as expected of a startup.

We believe that nurturing people is important and that means regular 1x1 meetings with different levels of management that will help you achieve any career goals you set for yourself.

As we’re not a large enterprise yet - your voice has more value; there are a lot of opportunities for your opinions to be heard.

Technical Skills:

• Minimum of 2 years' experience as a full-stack developer, with a strong orientation towards machine learning applications.
• Proficiency in developing services using Node.js.
• Expertise in JavaScript/TypeScript frameworks, with a preference for Vue.js (React or Angular are also valuable).
• Experience in implementing machine learning models in web applications, with skills in frameworks like ONNX.js or similar ML libraries for JavaScript.
• Commitment to high coding standards, test-driven development (TDD), and solid design principles.
• Experience in working with cloud platforms like AWS or GCP, as well as containerization technologies like Kubernetes and Docker.

Attitude and qualifications

• A Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience with a strong emphasis on ML.
• A proactive, “can-do” attitude, adaptable to the rapid and dynamic environment of a fast-paced startup.
• Excellent self-learning capabilities, with a keen ability to quickly absorb new technologies and concepts.
• A strong sense of responsibility and ownership, with a track record of accountability in project delivery.