🛠 Tech Stack

💼 About This Role

You'll develop scalable deep learning models for brain-computer interface technologies and generative AI systems that decode neural activity. You'll collaborate with multidisciplinary experts to advance AI infrastructure and contribute to groundbreaking research with real-world impact.

🎯 What You'll Do

• Develop and optimize deep learning models for brain decoding
• Collaborate with research scientists on generative modeling
• Improve ML pipeline performance across distributed environments
• Contribute to research activities and technical documentation
• Identify bottlenecks and implement innovative solutions

📋 Requirements

• Bachelor's in quantitative discipline
• 3+ years of experience in ML or deep learning
• Strong Python skills and PyTorch experience
• Solid understanding of supervised and generative deep learning

✨ Nice to Have

• Familiarity with Hugging Face, Transformers, Diffusers, or Accelerator
• Experience with generative models or LLMs
• PhD-level research experience and publications in AI or neuroscience

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• 🧠 Cutting-edge AI and neuroscience technologies
• 🤝 Global collaboration with leading experts
• 🚀 Fast-paced, innovation-focused culture
• 📈 Career growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Team fit interview· 45 min