Job Description
Are you ready to architect the intelligence of tomorrow, today?
Apex Innovation Labs is seeking a visionary Senior AI/ML Engineer to lead our research initiatives. We are on a mission to define the technological landscape of 2026, building scalable, ethical, and cutting-edge artificial intelligence systems that solve complex global problems.
In this role, you will not just implement existing algorithms; you will pioneer new methodologies in Generative AI, Large Language Models (LLMs), and predictive analytics. You will be the bridge between theoretical research and production-ready infrastructure.
Join a team of top-tier engineers and data scientists in the heart of Silicon Valley, working on projects that have a tangible impact on the future of humanity.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement end-to-end machine learning pipelines capable of processing petabyte-scale data with high throughput and low latency.
- Lead R&D Initiatives: Spearhead research into novel AI architectures and optimization techniques to ensure our solutions are future-proof for the 2026 landscape.
- Model Optimization: Fine-tune and optimize large-scale models (Transformers, GNNs) for inference speed and memory efficiency on cloud infrastructure.
- Ethical AI Implementation: Establish and enforce rigorous standards for AI safety, fairness, and bias mitigation in all deployed models.
- Collaborative Innovation: Partner with product managers, data scientists, and engineering teams to translate business requirements into robust technical solutions.
- Production Deployment: Manage the CI/CD lifecycle of ML models, ensuring seamless integration into production environments using containerization technologies (Docker, Kubernetes).
Qualifications
- Education: Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in software engineering and machine learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of NLP and Deep Learning frameworks.
- Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
- Problem Solving: Proven track record of solving complex, unstructured problems with data-driven approaches.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.