Job Description
Join Apex Neural Systems as we pioneer the technological frontier. We are on a mission to define the AI standards of 2026 and beyond. This is an opportunity for a visionary engineer to work on autonomous systems, generative AI, and next-generation predictive models.
In this role, you will be responsible for the end-to-end lifecycle of AI solutions, from research and development to deployment at scale. You will be working in a high-performance environment where your code directly impacts the future of technology.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive equity package and top-tier benefits.
- Focus on ethical AI and responsible machine learning practices.
Responsibilities
- Design and implement scalable machine learning pipelines and deep learning architectures.
- Conduct research to advance the state-of-the-art in neural network optimization.
- Collaborate with cross-functional teams to integrate AI models into production environments.
- Optimize model inference latency and reduce computational costs.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay abreast of the latest trends in AI to ensure our solutions remain cutting-edge for 2026.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in machine learning engineering or data science.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
- Experience with MLOps tools and containerization (Docker, Kubernetes).
- Proven track record of deploying production-grade AI models.