Machine Learning Engineer (Generative AI)

TL;DR

Machine Learning Engineer (Generative AI): Developing innovative machine learning technology and products for hirify.global with an accent on GenAI pipelines for image, video, and audio generation. Focus on delivering generative experiences on-device and building cutting-edge augmented reality features using diffusion models.

Location: Must be based in the US and work in an office 4+ days per week

Company

hirify.global is a technology company focused on visual messaging, augmented reality platforms, and wearable devices that empower people to express themselves and connect with the world.

What you will do

• Develop innovative machine learning technology and products serving millions of users.
• Work on state-of-the-art GenAI pipelines for image, video, and audio generation.
• Deliver generative machine learning experiences directly on-device.
• Build cutting-edge augmented reality experiences using generative and diffusion models.
• Partner with cross-functional teams to explore and prototype new product ideas.

Requirements

• Must be based in the US and able to work in an office 4+ days per week.
• Bachelor’s degree in a technical field or equivalent experience.
• 5+ years of post-Bachelor’s machine learning experience (or equivalent for Master's/PhD).
• Strong software development skills in Python or C++.
• Proficiency with deep learning frameworks like PyTorch or TensorFlow.
• Research or engineering experience in generative models, segmentation, detection, or tracking.

Nice to have

• Master's degree or PhD in a related technical field.
• Experience developing real-time software for mobile applications.
• Knowledge of efficient model foundations.
• Track record of successful projects in the GenAI field.
• Examples of work such as open source projects, blog posts, or publications.

Culture & Benefits

• Comprehensive medical coverage and emotional/mental health support.
• Paid parental leave.
• Compensation packages including long-term success sharing.
• Collaborative environment with a "Default Together" office-first culture.