🛠 Tech Stack

💼 About This Role

You'll design and implement ML algorithms and models for multiple startups, collaborating with software engineers to integrate them into production systems. You'll optimize model performance and stay current with AI advancements. Market range compensation can include equity and details are provided after client match.

🎯 What You'll Do

• Designing and implementing ML algorithms and deep learning models.
• Preprocessing and analyzing large datasets for model training.
• Integrating ML models into production systems with software engineers.
• Monitoring model performance and troubleshooting in production.

📋 Requirements

• Python, R, or similar programming language proficiency.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Bachelor's or master's in CS, engineering, math, or stats.
• Several years in machine learning or data science role.

✨ Nice to Have

• Experience with deep learning architectures.
• Familiarity with cloud platforms like AWS or GCP.
• Published research or contributions to open-source ML projects.

🎁 Benefits & Perks

• 💰 Equity potential.
• 🏢 Onsite in New York with hybrid options.
• 📈 Exposure to multiple startups and projects.

🚩 Heads Up

• Generic job description covering multiple roles with undefined specific duties.
• Title includes three levels (Senior, Staff, Principal) indicating misaligned expectations.