Job Description
Are you ready to define the technological landscape of 2026? At Horizon Dynamics, we are on a mission to pioneer next-generation artificial intelligence and spatial computing solutions that will redefine human-machine interaction.
We are seeking a visionary Senior AI/ML Engineer to lead our R&D division. In this role, you will be at the forefront of developing scalable neural architectures and ethical AI frameworks designed to operate seamlessly in a post-2026 reality. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and generative adversarial networks, we want to hear from you.
Why Join Us?
- Work on high-impact projects that shape the future of technology.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in San Francisco.
- Access to state-of-the-art hardware and cloud infrastructure.
Responsibilities
- Lead AI Architecture: Design and implement cutting-edge machine learning pipelines and neural network architectures optimized for high-throughput edge computing.
- R&D Strategy: Conduct research into emerging AI paradigms to ensure Horizon Dynamics remains a market leader by 2026.
- Model Optimization: Fine-tune large-scale models for efficiency, reducing latency and resource consumption in real-world deployments.
- Collaboration: Partner with cross-functional teams including product managers, UX designers, and hardware engineers to integrate AI seamlessly into consumer products.
- Ethical AI: Establish and enforce guidelines for AI safety, bias mitigation, and transparency in algorithmic decision-making.
- Code Review & Mentorship: Lead code reviews, conduct technical workshops, and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL.
- Knowledge: Deep understanding of transformer models, reinforcement learning, and distributed systems.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
- Problem Solving: Proven track record of solving ambiguous problems and delivering innovative solutions under tight deadlines.