Job Description
Are you ready to define the technological landscape of the future? QuantumLeap Technologies is on a mission to build the infrastructure for the year 2026. We are looking for a visionary Senior AI Engineer to lead our cutting-edge research division.
In this pivotal role, you will not just write code; you will architect the neural pathways of tomorrow. You will work alongside world-class researchers to develop next-generation Artificial Intelligence models that will power the global economy in 2026 and beyond.
Why join us?
- Shape the future of AI with unlimited creative freedom.
- Work with state-of-the-art hardware and software stacks.
- Competitive equity package and performance bonuses.
- Remote-first culture with quarterly global meetups.
Must be authorized to work in the United States.
Responsibilities
- Architect the 2026 AI Roadmap: Design and implement scalable AI architectures that align with our long-term vision for the year 2026.
- Lead Model Development: Spearhead the training and fine-tuning of large language models (LLMs) and generative AI systems.
- Optimize Performance: Reduce inference latency and improve model accuracy to meet enterprise-grade standards.
- Research Collaboration: Partner with PhD researchers to explore novel algorithms and edge-case solutions.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning.
- Security & Compliance: Implement robust security protocols to ensure data privacy and ethical AI usage.
Qualifications
- Experience: 7+ years of experience in Artificial Intelligence, Machine Learning, or Deep Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Ray, Kubernetes).
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Knowledge: Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Future-Ready: Demonstrated ability to adapt to emerging technologies and anticipate future industry trends.