Job Description
We are Nexus Future Systems, a pioneer in next-generation artificial intelligence infrastructure. We are seeking a visionary Senior AI/ML Engineer to join our elite team in Austin, Texas. In this pivotal role, you will architect scalable machine learning solutions that power our proprietary neural networks and drive the next wave of intelligent automation. If you are passionate about pushing the boundaries of what's possible in 2026 and beyond, we want to meet you.
Why Join Us?
- Cutting-Edge Tech Stack: Work with state-of-the-art Large Language Models (LLMs), Generative AI, and quantum-ready algorithms.
- Impactful Work: Your code will directly influence how millions of users interact with future technology.
- Competitive Compensation: We offer a top-tier salary and equity package.
- Growth Culture: Continuous learning opportunities and a diverse, inclusive environment.
Don't just watch the future happenābuild it.
Responsibilities
- Design, develop, and deploy scalable machine learning models and pipelines for production environments.
- Conduct research to improve the accuracy, speed, and efficiency of our core AI algorithms.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Optimize existing models for latency, throughput, and resource utilization.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest advancements in AI research and integrate relevant innovations into our stack.
Qualifications
- Bachelorās or Masterās degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- 5+ years of professional experience in software engineering or machine learning engineering.
- Proficiency in programming languages such as Python, C++, or Java.
- Deep experience with ML frameworks like TensorFlow, PyTorch, or JAX.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).