Job Description
Build the future of intelligence.
At NexusMind AI, we are pushing the boundaries of what is possible in generative AI and large-scale machine learning models. We are seeking a visionary Senior AI Research Engineer to join our core team in the heart of San Francisco. You will lead high-impact initiatives, bridge the gap between theoretical research and scalable production, and define the architecture of next-generation autonomous systems.
Responsibilities
- Architect and train large-scale neural networks utilizing PyTorch and JAX.
- Optimize model performance for latency and throughput in production environments.
- Lead R&D initiatives focusing on multi-modal learning and reinforcement learning from human feedback (RLHF).
- Collaborate with infrastructure teams to build scalable data pipelines for massive-scale training.
- Mentor junior engineers and contribute to our internal AI research publications.
- Design rigorous evaluation frameworks to assess model robustness and safety.
- Stay at the forefront of AI research by translating breakthroughs into viable product features.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, NLP, or computer vision.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Strong background in distributed computing and large-scale training optimizations.
- Proven track record of deploying complex machine learning models into production systems.
- Experience with cloud computing platforms (AWS, GCP, or Azure) for ML workloads.
- Strong problem-solving skills and the ability to thrive in an fast-paced, research-driven environment.