Machine Learning Engineer (Computer Vision)

Salary: $80k-$100k+ModernOffices+Flexibile

An exciting AI technology company is looking for a Computer Vision Engineer to join a talented, high-growth team building cutting-edge AI products

Love solving real-world problems with Computer Vision, Deep Learning & AI?

What you'll bring:

• Ideally a PhD (or MSc) in Computer Vision, Computer Science, Artificial Intelligence, Machine Learning or a related field
• At least 2 years' commercial experience in Computer Vision
• Solid experience developing and deploying Computer Vision models
• Experience with Python and modern deep learning frameworks such as PyTorch or TensorFlow or similar
• Experience working with image processing, object detection, segmentation, tracking or similar Computer Vision techniques
• Likely you’ll have experience with YOLO based computer vision models
• Experience training, evaluating and optimising AI models
• A solid understanding of machine learning fundamentals and data pipelines
• Curious, collaborative and enjoys solving challenging technical problems within a small engineering team
• Excellent communication skills and a passion for learning

What you'll get:

• Join an innovative Christchurch AI company building leading-edge Computer Vision technology
• Work in a highly skilled, collaborative team where you'll have real influence
• Opportunity to work on leading-edge AI research and commercial software products
• Modern offices in Christchurch with flexibility
• Excellent salary and benefits package
• Career development working alongside experienced AI & software specialists
• Office-based role with a supportive, high-performing engineering culture
• MUST HAVE RIGHT TO WORK IN NZ ie At least a Permanent Resident Visa and be based in Christchurch

Work on building a leading edge AI product product that solves real world problems - get in touch with Paul :-)

Please Click Apply now sending your CV & Cover Letter (If you prefer, we're also happy to receive a short 60-90 second introduction video (MP4, 1GB or less) or send your application directly to paul@sunstonetalent.com

Learn more about Sunstone Talent on our LinkedIn page click here: https://www.linkedin.com/company/sunstone-talent