Job Description
Join 2026, a visionary leader in next-generation artificial intelligence infrastructure. We are on a mission to redefine the boundaries of what is possible with machine learning, building systems that are not only intelligent but also scalable and ethical. As we approach our 2026 roadmap, we are seeking a Senior Machine Learning Engineer to drive the development of our flagship generative AI platforms.
You will work at the intersection of research and production, collaborating with world-class engineers and researchers to deploy state-of-the-art models that power the future of enterprise automation. If you are passionate about the future of AI and want to shape the trajectory of technological evolution, we want to hear from you.
Why Join Us?
- Work with cutting-edge LLMs and generative AI technologies.
- Competitive equity package and remote-first flexibility.
- Opportunity to mentor junior engineers and define technical standards.
Responsibilities
- Design, implement, and optimize large-scale machine learning models for production environments.
- Conduct research and experiments to advance the state-of-the-art in natural language processing and computer vision.
- Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into technical solutions.
- Ensure the scalability, reliability, and security of ML pipelines and data infrastructure.
- Stay abreast of the latest developments in the AI field and integrate relevant innovations into our product suite.
- Mentor team members and contribute to code reviews and technical architecture discussions.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field.
- Minimum of 5 years of professional experience in machine learning engineering or data science.
- Deep proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
- Strong understanding of deep learning architectures, including Transformers, GANs, and diffusion models.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.