Lead Machine Learning Engineer (AI)

TL;DR

Lead Machine Learning Engineer (AI): Develop and optimize ML products and AI Lenses for hirify.global users, focusing on image and video generation and editing, and LLMs. Focus on building cutting-edge augmented reality experiences with diffusion/flow matching models and GANs, integrating ML models into production, and refining them through A/B testing.

Location: Onsite in London, UK, with an expectation to work in the office 4+ days per week.

Company

Snap Inc. is a technology company focused on improving communication and self-expression through products like hirify.global, Lens Studio, and Spectacles.

What you will do

• Develop ML-products and AI Lenses for hirify.global, focusing on image and video generation and editing, as well as LLMs.
• Build cutting-edge augmented reality experiences using diffusion/flow matching models and GANs.
• Work on state-of-the-art GenAI pipelines for image and video generation.
• Collaborate extensively with Product, Software Engineering, Lens Content, and Data Science teams to prototype, integrate ML models into production, and refine them.
• Monitor the market and research landscape for new developments in Gen AI, evaluating open-source models and third-party AI APIs/services.

Requirements

• Strong background in Machine Learning and a proven passion for staying up-to-date with research and prototyping new ideas quickly.
• Experience supporting applied machine learning teams that work closely with Product.
• Strong programming skills in Python or C++.
• Bachelor’s Degree in a technical field or equivalent years of engineering experience in neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning.
• Track record of delivering ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments.
• History of involvement in product roadmapping and collaboration with Product, Design, and Data Science functions.

Nice to have

• Knowledge of computer graphics foundations.
• Experience with visual Gen AI models for image and video generation and editing.
• Experience with evaluating the visual quality of Image and Video models.
• Track record of successful projects in the GenAI field.
• Proven track of closely collaborating with Product, Design and Software Engineering teams for launching consumer-facing Gen AI or ML-powered products.

Culture & Benefits

• A "default together" approach requiring team members to work in an office 4+ days per week.
• Commitment to diversity, equity, and inclusion, providing equal employment opportunities.
• Comprehensive medical coverage, emotional and mental health support programs.
• Paid parental leave.
• Compensation packages allowing shared long-term success.