about 5 hours ago
Remote, Worldwide +2 moreIntern / Entry Level
Responsibilities
- Build adaptive algorithms that continuously learn and react in real-time.
- Collaborate across software, hardware, and algorithmic domains for system-wide efficiency.
- Measure the real-world impact of algorithms and product signals.
Requirements
- Degree or equivalent research/engineering experience in a computer science field.
- Genuine interest in model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization.
- Ability to understand and optimize across the full ML stack.
- Strong Python skills and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow.
- Familiarity with model optimization techniques such as RLHF and fine-tuning.
- Strong communication skills and adaptability in a remote work environment.