Job Description
We are building the infrastructure for the technology of 2026. Apex Horizon Labs is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation autonomous systems and large-scale generative models. In this role, you will define the architecture for our proprietary AI agents, pushing the boundaries of what is possible in Natural Language Processing and Computer Vision.
As we approach the future, we need a leader who understands not just current algorithms, but the trajectory of AI evolution. You will work in a highly collaborative, remote-first environment with a focus on ethical AI and scalable deployment.
Why Join Us?
- Future-Proof Role: Shape the AI landscape of 2026 and beyond.
- Competitive Compensation: Top-tier salary and equity package.
- Flexible Work: Hybrid model supporting innovation from anywhere.
Responsibilities
- Architect Future AI Systems: Design and implement scalable machine learning pipelines for autonomous agents and generative AI models.
- Research & Development: Stay ahead of the curve in AI research, implementing cutting-edge techniques in LLM fine-tuning and reinforcement learning.
- Model Optimization: Reduce inference latency and optimize model performance for edge devices and cloud deployments.
- Collaboration: Work closely with product teams to translate complex AI capabilities into user-friendly applications.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Ethical AI: Ensure all deployed models adhere to strict ethical guidelines and safety protocols.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Strong background in Natural Language Processing (NLP) or Computer Vision.
- Problem Solving: Ability to tackle complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent written and verbal communication skills for technical and non-technical stakeholders.