Job Description
Shape the Future of Intelligence in 2026
Orbit Future Labs is seeking a visionary Senior AI & Machine Learning Engineer to architect the next generation of artificial intelligence systems. As we look toward the technological horizon of 2026, we are building scalable, ethical, and transformative AI solutions that will redefine industries. If you are passionate about pushing the boundaries of Deep Learning, Natural Language Processing, and Generative AI, this is your opportunity to lead the charge.
Why Join Us?
At Orbit Future Labs, we don't just predict the future; we build it. You will work in a state-of-the-art environment with a team of world-class engineers and researchers. We offer a competitive package, equity, and the chance to work on projects that matter.
Responsibilities
- Architect and Deploy Advanced Models: Design, train, and deploy scalable machine learning models and AI systems capable of handling high-velocity data streams.
- Lead Research Initiatives: Drive research in cutting-edge areas such as Large Language Models (LLMs), Computer Vision, and Reinforcement Learning to stay ahead of the 2026 tech curve.
- Optimize Performance: Continuously optimize model inference and training pipelines to ensure sub-millisecond latency and minimal resource consumption.
- Collaborate with Cross-Functional Teams: Partner with product managers, data scientists, and software engineers to integrate AI capabilities into consumer-facing products.
- Ensure Ethical AI: Implement best practices for fairness, transparency, and accountability in all AI systems to mitigate bias and ensure safe deployment.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field (PhD preferred).
- Technical Expertise: 5+ years of professional experience in machine learning engineering, with a strong focus on Deep Learning frameworks (PyTorch, TensorFlow, or JAX).
- Programming: Proficiency in Python, C++, or Rust, with experience in designing distributed systems for large-scale training.
- Experience: Proven track record of deploying production-grade AI models serving millions of users.
- Soft Skills: Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.