Job Description
Are you ready to architect the future of intelligence? Apex Horizon Systems is on the forefront of defining the technological landscape for the 2026 era. We are seeking a visionary Senior AI Research Engineer to lead our advanced model training initiatives, focusing on next-generation autonomous agents and scalable neural architectures.
In this role, you won't just write code; you will define the roadmap for the next leap in artificial general capabilities. You will work in a highly collaborative, fast-paced environment with top-tier talent, pushing the boundaries of what is possible in machine learning, natural language processing, and cognitive computing.
Why join us?
- Work on cutting-edge problems that define the 2026 technology stack.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium San Francisco office access.
- Access to the latest hardware and proprietary datasets.
If you are passionate about the future of AI and possess the technical depth to make it happen, we want to meet you.
Responsibilities
- Lead Research Initiatives: Spearhead the development of novel machine learning algorithms specifically tailored for the 2026 era of high-performance computing.
- Model Architecture: Design, train, and optimize large-scale deep learning models, focusing on efficiency and scalability.
- Data Strategy: Oversee the data pipeline, ensuring high-quality training data for the next generation of AI agents.
- Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of innovation and technical excellence.
- Roadmap Planning: Collaborate with product leaders to translate technical research into practical, deployable features.
- Ethics & Safety: Implement rigorous testing protocols to ensure AI outputs are safe, unbiased, and aligned with ethical standards.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML research or software engineering, with a strong portfolio of published papers or deployed models.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow. Deep understanding of transformer architectures, reinforcement learning, or NLP.
- Problem Solving: Demonstrated ability to tackle ambiguous, complex problems and deliver innovative solutions under tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Future-Forward Mindset: A strong interest in emerging technologies and a vision for the future of AI in 2026 and beyond.