Job Description
Shape the Future of Intelligence
Nebula Dynamics is at the forefront of the AI revolution. We are seeking a visionary Senior AI Engineer to architect scalable machine learning solutions that redefine industry standards. In this pivotal role, you will lead the development of next-generation generative models and neural networks, ensuring our platforms remain at the cutting edge of technology.
Why Join Us?
- Competitive salary and equity package.
- Health, dental, and vision insurance.
- Flexible remote and hybrid work options.
- Continuous learning budget and tech conferences.
Responsibilities
- Design, train, and deploy advanced machine learning models and neural networks.
- Optimize algorithms for high-scale production environments and real-time inference.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Conduct rigorous research on emerging AI methodologies to stay ahead of the curve.
- Mentor junior engineers and foster a culture of innovation within the engineering team.
- Ensure model robustness, fairness, and ethical AI compliance.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of shipping production-grade AI products.
Responsibilities
- Design, train, and deploy advanced machine learning models and neural networks.
- Optimize algorithms for high-scale production environments and real-time inference.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Conduct rigorous research on emerging AI methodologies to stay ahead of the curve.
- Mentor junior engineers and foster a culture of innovation within the engineering team.
- Ensure model robustness, fairness, and ethical AI compliance.
Qualifications
- Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of shipping production-grade AI products.