Job Description
Are you ready to define the technological landscape of 2026? Horizon Synergy Labs is seeking a visionary Senior AI & Synthetic Reality Engineer to bridge the gap between human cognition and synthetic environments.
As a pioneer in next-gen neural architectures, you will design the frameworks that power our synthetic reality ecosystems and advanced generative AI models. We are building the infrastructure for a future where digital and physical realities merge seamlessly. If you are obsessed with pushing the boundaries of what is possible in Machine Learning and Spatial Computing, this is your stage.
Why Join Us?
- Work on cutting-edge projects that redefine human-computer interaction.
- Competitive compensation and equity packages for top-tier talent.
- Access to state-of-the-art computing infrastructure and research.
Don't just build software; architect the future.
Responsibilities
- Architect Neural Frameworks: Design and implement scalable neural network architectures for real-time synthetic environment generation and data simulation.
- Optimize Performance: Utilize CUDA and GPU acceleration to ensure low-latency inference for high-fidelity AI models.
- Neural Interface Design: Collaborate with UX researchers to develop intuitive brain-computer interface (BCI) prototypes and feedback loops.
- Ethical AI Governance: Implement robust guardrails and alignment techniques to ensure synthetic outputs are safe, equitable, and bias-free.
- Spatial Computing Integration: Leverage Unity and Unreal Engine to integrate AI agents into immersive 3D spatial environments.
- Research & Development: Stay at the forefront of industry trends, evaluating emerging technologies like quantum-enhanced ML and generative video synthesis.
- Team Leadership: Mentor junior engineers and conduct code reviews to maintain high technical standards across the platform.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Computational Neuroscience, or a related field.
- Experience: Minimum of 5+ years of professional experience in Machine Learning Engineering, with a focus on Generative AI or Computer Vision.
- Technical Skills: Deep proficiency in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Knowledge: Strong understanding of Transformer architectures, Large Language Models (LLMs), and spatial computing principles.
- Tools: Experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Passion: A demonstrated passion for the future of technology and the ethical implications of AI advancement.