Job Description
Are you ready to architect the future of Artificial Intelligence?
Apex Future Systems is at the forefront of defining the tech landscape for the year 2026 and beyond. We are looking for a visionary Senior AI & Machine Learning Engineer to lead our cutting-edge research into Generative AI, Large Language Models, and autonomous systems.
In this pivotal role, you won't just implement existing models; you will design the neural architectures of tomorrow. If you are passionate about pushing the boundaries of what is possible and want to be part of a team shaping the next decade of technology, we want to meet you.
Why join us?
- Work on 2026-ready infrastructure and AI models.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in Austin, TX.
Apply today and help us build the future.
Responsibilities
- Design, train, and deploy scalable Machine Learning models and AI agents for production environments.
- Lead the research and development of next-generation algorithms focused on 2026 scalability and efficiency.
- Collaborate with cross-functional teams to integrate AI capabilities into our core product ecosystem.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Optimize model performance, latency, and accuracy using advanced deep learning techniques.
- Stay ahead of industry trends in AI, including LLMs, Computer Vision, and Reinforcement Learning.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying large-scale ML models in production.
- Experience with MLOps tools (Docker, Kubernetes, MLflow, AWS SageMaker).
- Deep understanding of NLP and LLM fine-tuning techniques.