Job Description
We are seeking a visionary Senior AI Engineer to lead the development of next-generation machine learning systems that will define our roadmap through 2026 and beyond. At Nexus Dynamics, we are not just building software; we are architecting the future of intelligent automation. You will work at the intersection of deep learning, predictive analytics, and scalable cloud infrastructure, directly influencing how millions of users interact with our platform.
If you are passionate about solving complex problems, pushing the boundaries of AI, and leading a high-performing engineering team, we want to meet you.
Why Join Us?
- Work on cutting-edge AI projects with a direct impact on global scalability.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities in San Francisco.
- Professional development budget for conferences and certifications.
Responsibilities
- Design, train, and deploy state-of-the-art machine learning models, including LLMs and generative AI architectures.
- Collaborate with cross-functional teams (Data Science, Product, Engineering) to define AI strategy and product requirements.
- Optimize existing models for speed, accuracy, and efficiency, reducing inference costs by 30% or more.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Establish and enforce best practices for MLOps, data governance, and ethical AI usage.
- Conduct rigorous A/B testing and performance analysis to validate model improvements.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Proven track record of leading technical projects from conception to production.