Job Description
We are seeking a visionary Senior AI/ML Engineer to lead our cutting-edge research division. At Apex Future Tech, we are building the foundational models that will define the technological landscape of 2026 and beyond. You will work at the intersection of deep learning, generative AI, and scalable infrastructure to solve complex problems in natural language processing and predictive analytics.
Why Join Us?
- Impactful Work: Directly contribute to the AI systems powering our next-generation products.
- Innovation First: Work with state-of-the-art frameworks and bleeding-edge research.
- Competitive Compensation: Base salary $180k - $260k plus equity and performance bonuses.
If you are passionate about the future of artificial intelligence and want to engineer the solutions of tomorrow, we want to hear from you.
Responsibilities
- Model Development: Design, train, and deploy advanced deep learning models, with a focus on LLMs and multimodal architectures.
- Infrastructure Optimization: Build and maintain scalable MLOps pipelines to ensure models perform efficiently in production environments.
- Research & Experimentation: Conduct cutting-edge research to improve model accuracy, reduce latency, and enhance user personalization.
- Code Review & Mentorship: Lead code reviews and mentor junior engineers, fostering a culture of technical excellence and continuous learning.
- Collaboration: Partner with product managers and data scientists to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in machine learning engineering or applied research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.