Job Description
We are on a mission to redefine the boundaries of artificial intelligence for the year 2026 and beyond. Apex Neural Systems is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation generative models and autonomous agents. If you are passionate about pushing the limits of Large Language Models (LLMs), optimizing inference for edge devices, and building ethical AI frameworks, this is your opportunity to shape the future.
In this role, you will collaborate with a world-class team of researchers and engineers to deploy state-of-the-art solutions that impact millions of users. You will be at the forefront of the 2026 tech landscape, working on projects that bridge the gap between theoretical research and real-world application.
Why join Apex Neural Systems?
- Impactful Work: Build AI systems that drive tangible change in healthcare, finance, and creative industries.
- Future-Proof Tech: Work with cutting-edge stacks including PyTorch, Rust, and distributed computing.
- Competitive Package: Comprehensive health benefits, equity packages, and continuous learning budgets.
Responsibilities
- Design, train, and fine-tune large-scale transformer models and multimodal AI systems.
- Optimize model inference performance for low-latency, high-throughput environments.
- Implement robust MLOps pipelines to ensure scalability and reliability of AI deployments.
- Conduct research on novel architectures to improve model accuracy and reduce hallucinations.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience with Large Language Models (GPT, Llama, Mistral) and fine-tuning methodologies.
- Familiarity with distributed computing frameworks (Ray, Kubernetes, Docker).
- Master’s degree or PhD in Computer Science, Mathematics, or a related field is preferred.
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.