Job Description
Are you ready to define the technological landscape of 2026?
Apex Horizon Systems is at the forefront of the next industrial revolution. We are seeking a visionary AI Research Scientist to join our elite R&D division, specifically focused on the 2026 Strategic Initiatives roadmap. In this role, you won't just be building models; you will be architecting the future of autonomous systems and generative intelligence.
As we accelerate toward our 2026 launch targets, we need a thought leader who can bridge the gap between theoretical machine learning and scalable production engineering. If you are passionate about pushing the boundaries of what is possible and thrive in a high-performance, forward-thinking environment, we want to hear from you.
Why join us?
- Work on cutting-edge technology that will shape the next decade.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
What you will do:
As a Senior Research Scientist on the 2026 team, you will lead high-impact research projects aimed at achieving superhuman efficiency in data processing and predictive modeling. Your work will directly influence our flagship product roadmap.
Responsibilities
- Lead and conduct advanced research in Deep Learning, Natural Language Processing, or Reinforcement Learning to support the 2026 product roadmap.
- Design and implement novel neural architectures capable of processing real-time, unstructured data streams at scale.
- Collaborate closely with engineering teams to translate theoretical research into robust, production-grade software libraries.
- Publish high-impact academic papers and present findings at top-tier international conferences.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Identify potential risks and technical bottlenecks in experimental models and propose scalable solutions.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in applied machine learning and artificial intelligence research.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of publishing research in top-tier venues (NeurIPS, ICML, ICLR, etc.) or open-source contributions.
- Deep understanding of optimization techniques, large language models (LLMs), and transformer architectures.
- Experience with distributed computing systems (Apache Spark, Kubernetes) is highly preferred.
- Exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.