Machine Learning Engineer, Integrations

At Datature, we are building a platform for training and deploying machine learning models swiftly without a single line of code. Datature Nexus is an MLOps platform that allows users to label unstructured data and construct complex machine learning pipelines all in their browsers using highly visual editors.

To date, Datature helps more than 10,000 teams worldwide build computer vision solutions in niched, complex domains such as medicine, agriculture, and manufacturing with our end-to-end data platform.

The Scope 🔭

As part of the integration team, you will be working directly with customers to integrate our MLOps Platform directly into their stack, and ideate ways to optimize their computer vision implementation.

You will be expanding our neural network offerings, cutting-edge features, and model observability functions for our users. In addition, you will be working on Datature’s Insights and MLOps offering to help users build better, fairer, models.

In addition, you will scout and prototype state-of-the-art vision algorithms and methods to provide our users and the team with potentially disruptive technologies that can be integrated into the Datature platform to improve user value.

Ideally, you enjoy research, prototyping, and sharing new ideas based on real-user feedback and problems to work on a roadmap of ambitious features that we ship to our users in our quarterly platform updates.

Requirements ⚒

• 2-5 years of experience researching, implementing, and deploying computer vision / deep-learning / scene understanding algorithms
• Contribute to research, design, and implementation of state-of-the-art perception / vision algorithms, taking ideas from paper to integration with users and clients
• Experience with stacks that include PyTorch, JAX, TensorFlow, OpenCV, FFMPEG, Gradio, OpenVINO, MXNet
• Possess some technical foundation in working with backend services, querying large amounts of RGB and RGDB data, and leveraging Google Cloud Platform / Cloud GPU Resources
• Collaborate with key stakeholders and client teams to understand business requirements and objectives related to ML integration
• Experience building, maintaining, and debugging real-time computer vision systems
• Experience and passion in Deep-Learning Algorithms, serving APIs leveraging CUDA, Multi-GPUs, and Showcases with Gradio/Streamlit
• Experience with computer vision research, prototypical notebooks for testing ideas, and implementing the latest research ideas swiftly

About You 🤖

You are a machine learning enthusiast with a keen interest in state-of-the-art computer vision publications and repositories. You can write clean yet powerful Notebooks, enabling our users to grasp various computer vision methods effectively.

Your passion for data, machine learning, and user experience drives you. You have a strong understanding of the trade-offs involved in each line of code and can prioritize effectively across diverse projects.

Ideally, you possess a portfolio of notebooks, discussions, or a technical blog that showcases your ideas and interests in the field.

Why You'll Love Us 🎈

We are a technology-first team dedicated to developing the most intuitive and high-performance platform to transform how users build machine learning capabilities. Our team is a quirky group of engineers passionate about discussing code and algorithms, and you'll find yourself in stimulating debates that spark innovation.

At Datature, you'll tackle critical challenges at the intersection of machine learning, data processing, and client engineering, making a significant impact on the model architectures and optimization solutions available to our users.

While building development tools for a single company is rewarding, joining Datature means contributing to tools that will empower the next 10,000 companies. If this sounds like your cup of tea, we’d love to hear from you.