Job Description
Are you ready to architect the cognitive layer of the future? Apex Future Systems is seeking a visionary Senior AI Research Engineer to lead our 2026 roadmap initiatives. We are not just building software; we are defining the standards for the next generation of artificial general intelligence (AGI) and human-computer symbiosis.
In this high-impact role, you will work at the bleeding edge of neural architecture search, large-scale transformer optimization, and quantum-enhanced machine learning. If you are obsessed with pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Future-Ready Environment: Work on technologies that will define the industry in 2026 and beyond.
- Equity & Impact: Competitive compensation package with significant equity opportunities.
- Top-Tier Talent: Collaborate with world-class researchers and engineers.
Responsibilities
- Architect Next-Gen Models: Design and implement novel neural network architectures specifically optimized for the 2026 compute paradigm.
- Research Leadership: Lead research projects focused on Artificial General Intelligence, moving beyond current LLM limitations.
- Scalability & Optimization: Optimize model inference and training pipelines to run efficiently on next-generation hardware accelerators.
- Prototype Development: Rapidly prototype and validate cutting-edge algorithms in a production-like sandbox environment.
- Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Contribute to the technical strategy and roadmap for the company's 2026 product suite.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in AI research, machine learning engineering, or a related technical role.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Specialization: Proven expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Strong ability to tackle ambiguous, high-level problems with concrete technical solutions.
- Innovation: A track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-sourcing significant projects.