Job Description
Shape the Future of Intelligence
At Apex Horizon Labs, we are not just building AI; we are architecting the foundational technologies for the year 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite research and development division. In this role, you will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous agent systems, pushing the boundaries of what is possible in machine learning.
Why Join Us?
- Impact: Work on projects that redefine human-computer interaction.
- Autonomy: Lead experimental research with significant freedom and resources.
- Environment: Collaborate with top-tier minds in a state-of-the-art facility in the heart of San Francisco.
Your Mission
You will be responsible for designing, training, and deploying cutting-edge neural networks that power our next-generation products. If you are passionate about ethical AI, scalable infrastructure, and solving complex problems with code, we want to hear from you.
Responsibilities
- Design and implement scalable Machine Learning pipelines and infrastructure for training large-scale models.
- Research and prototype novel algorithms in Natural Language Processing (NLP) and Computer Vision.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Optimize model performance, latency, and accuracy for deployment in edge and cloud environments.
- Stay ahead of the curve by evaluating emerging technologies and methodologies relevant to the 2026 AI landscape.
- Mentor junior engineers and contribute to the technical culture of innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in AI/ML, with a strong portfolio of published research or deployed models.
- Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Extensive experience with LLMs, Hugging Face, and fine-tuning strategies (PEFT, LoRA).
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps practices.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-impact environment.