Member of Technical Staff, Research Engineer (AI)

TL;DR

Member of Technical Staff, Research Engineer (AI): Developing cutting-edge generative AI models for video and image processing with an accent on computer vision and machine learning pipelines. Focus on incorporating latest research, conducting experiments, optimizing model performance, and deploying to production.

Location: Fully remote with occasional company meetings a few times per year in London, UK or North America (LA, Toronto)

Company

Moonvalley is building generative AI models for Hollywood-grade commercials and cinematic experiences using proprietary data, backed by top investors with a team of elite AI scientists and filmmakers.

What you will do

• Incorporate cutting-edge research from academic advisors into products.
• Contribute to R&D on computer vision models for video and image processing.
• Collaborate with cross-functional teams to design, implement, and iterate ML models and pipelines.
• Conduct experiments, analyze results, and optimize performance through swift training, fine-tuning, testing, and deployment cycles.
• Stay updated on ML/AI advancements to improve products.
• Provide technical guidance and communicate requirements effectively.

Requirements

• MS/PhD in Computer Science, Electrical Engineering or related field with focus on computer vision.
• Proven research experience in computer vision and familiarity with conferences like CVPR, ICCV, NeurIPS.
• 5+ years of strong Python experience.
• Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.
• Experience with rapid prototyping, deploying ML models in the cloud (AWS), databases (Postgres/MySQL), and experiment tracking.
• ML frameworks: PyTorch or TensorFlow.

Nice to have

• Contributions to open-source projects in computer vision.

Culture & Benefits

• Competitive salary and equity.
• Private health coverage and pension contributions (UK, Canada, US).
• Unlimited paid vacation.
• Fully-distributed, async-first culture with hardware setup and stipends for phone, internet, and meals.
• High-commitment environment with occasional late nights and weekends.