Machine Learning Engineer

Description:

Quantix Search is partnering with a VC-backed startup that is pioneering a new kind of generative AI system, focused on creating editable, scalable vector graphics using machine learning. This is a unique challenge blending deep learning, computer vision, and creative problem-solving to develop a product with real market demand.

The Machine Learning Engineer will join a small, experienced team to shape both the technical foundation and direction of the ML work. The role involves designing and implementing ML architectures, building production-ready systems, and collaborating closely with product and engineering teams.

Key Responsibilities:

• Design and implement machine learning architectures for vector graphics generation.

• Explore and apply innovative approaches in generative AI and computer vision.

• Build and deploy production-ready machine learning systems.

• Lead the development of ML infrastructure and experimentation tools.

• Evaluate and adapt open-source ML solutions where applicable.

• Collaborate with product and engineering teams to ship impactful features.

Requirements:

• Minimum 7 years of experience in machine learning engineering.

• Strong proficiency in ML frameworks such as PyTorch or TensorFlow.

• Experience in computer vision or generative models.

• Proven track record of deploying ML features in production environments.

• Practical mindset, able to work efficiently in fast-paced, remote-friendly teams.

Why This Role is Worth Considering:

• Work on a challenging, novel problem central to the product’s success.

• Join a well-funded, profitable, remote-friendly startup.

• Opportunity to have significant impact on cutting-edge AI technology.