Machine Learning Engineer - Computer Vision (asap)

Machine Learning Engineer - Computer Vision (ASAP)

We are seeking an experienced Machine Learning Engineer with a strong focus on Computer Vision to join our advanced AI team.

What You'll Be Doing

• Design, build, and deploy scalable computer vision systems using deep learning.
• Develop models for tasks such as classification, detection, segmentation, and visual quality assessment.
• Collaborate with data scientists and engineers to refine data pipelines and training datasets.
• Optimize models for performance across cloud and edge platforms.
• Stay up to date with the latest in computer vision research and apply relevant advancements.

What We Are Looking For

• 3+ years of experience in Machine Learning, with at least 2 years focused on computer vision.
• Proven track record of delivering vision-based ML products or research.
• Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Strong Python programming skills; familiarity with OpenCV and image processing libraries.
• Solid understanding of convolutional neural networks (CNNs), transformers, and related architectures.
• Experience with model optimization and deployment on cloud or edge devices.

Nice to Have

• Experience with video analytics, multi-modal models, or synthetic data generation.
• Publications or open-source contributions in the field of computer vision.
• Familiarity with MLOps tools (MLflow, DVC, Docker, etc.).

Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic.

Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.