Job Description
Are you ready to architect the future of intelligent systems?
At Apex Future Labs, we are not just keeping pace with technology; we are defining the trajectory for 2026. We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation Generative AI and Predictive Analytics frameworks.
In this pivotal role, you will work at the intersection of theoretical research and scalable engineering, building the infrastructure that powers our flagship products. You will collaborate with world-class data scientists and product leaders to solve complex problems that will define the tech landscape of the next decade.
Why Join Us?
• Work on cutting-edge projects with high-impact implications.
• Competitive compensation package with equity options.
• Flexible remote-first culture with state-of-the-art equipment.
At Apex Future Labs, we are not just keeping pace with technology; we are defining the trajectory for 2026. We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation Generative AI and Predictive Analytics frameworks.
In this pivotal role, you will work at the intersection of theoretical research and scalable engineering, building the infrastructure that powers our flagship products. You will collaborate with world-class data scientists and product leaders to solve complex problems that will define the tech landscape of the next decade.
Why Join Us?
• Work on cutting-edge projects with high-impact implications.
• Competitive compensation package with equity options.
• Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Spearhead the research and development of advanced Machine Learning models, focusing on scalability and efficiency for the 2026 roadmap.
- Design and optimize deep learning pipelines for real-time inference in high-traffic environments.
- Collaborate with cross-functional teams to translate complex research concepts into production-ready software.
- Conduct rigorous experimentation and A/B testing to validate model performance and accuracy.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends in AI, NLP, and Computer Vision to drive the company's technological strategy.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong portfolio of published research or deployed models.
- Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Deep understanding of Large Language Models (LLMs), fine-tuning techniques, and RAG architectures.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment.