Job Description
Are you ready to architect the future? FutureScale Innovations is seeking a visionary Senior AI Research Engineer to spearhead our strategic roadmap for 2026. We are building the next generation of autonomous systems and generative intelligence that will redefine the digital landscape.
In this role, you won't just implement existing models; you will define the architectures that will power the enterprise of tomorrow. You will work at the intersection of Deep Learning, Neural Networks, and scalable cloud infrastructure, collaborating with world-class researchers and engineers.
If you are passionate about pushing the boundaries of what is possible in AI and want to leave a lasting legacy in the industry, we want to hear from you.
Responsibilities
- Define the 2026 AI Roadmap: Lead the architectural vision for next-generation Generative AI models and autonomous agents.
- Research & Development: Design and implement cutting-edge neural network architectures to solve complex, unsolved problems in natural language processing and computer vision.
- Model Optimization: Optimize large-scale model inference for speed, accuracy, and energy efficiency using distributed computing frameworks.
- Ethical AI Governance: Establish and enforce rigorous safety protocols and bias mitigation strategies to ensure responsible AI deployment.
- Technical Leadership: Mentor a team of talented engineers and researchers, conducting code reviews and fostering a culture of innovation.
- Stakeholder Collaboration: Translate complex technical research into actionable strategies for product and executive leadership.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Transformer models (BERT, GPT, LLaMA).
- Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and distributed training techniques.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions in high-pressure environments.
- Communication: Exceptional written and verbal communication skills, capable of presenting complex ideas to diverse audiences.