🛠 Tech Stack

💼 About This Role

You'll join a globally distributed team developing deep learning models for brain-computer interfaces and AI-driven neuroscience applications. Your work will directly decode neural activity and advance generative AI systems. This role offers exposure to both research and scalable engineering in a fast-paced remote environment.

🎯 What You'll Do

• Develop and optimize scalable deep learning models for brain decoding
• Collaborate with research scientists on generative modeling initiatives
• Improve ML pipelines for performance and reliability across distributed systems
• Contribute to research experimentation and technical documentation

📋 Requirements

• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Math, Physics)
• 3+ years of professional experience in machine learning or AI engineering
• Strong Python programming skills and experience with PyTorch
• Solid understanding of supervised, self-supervised, and generative deep learning

✨ Nice to Have

• Experience with Hugging Face, Transformers, Diffusers
• Experience with generative models or large language models
• PhD research experience and publications in AI or neuroscience

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🔬 Cutting-edge AI and neuroscience projects
• 🤝 Collaboration with leading experts in AI and fintech
• 🚀 Career growth in a rapidly evolving organization
• 🕐 Flexible and distributed work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min