Job Description
Are you ready to define the technology landscape of 2026? Apex Innovation Labs is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the next generation of autonomous systems and predictive intelligence platforms, and we need a technical leader who can bridge the gap between theoretical research and production-grade scalability.
In this role, you will architect robust machine learning pipelines, fine-tune state-of-the-art foundation models, and lead initiatives that will shape our roadmap for the coming years. If you are passionate about the future of Artificial Intelligence and want to work on projects that redefine industry standards, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI models with a direct impact on global business metrics.
- Competitive compensation package including equity and bonuses.
- Flexible work environment and top-tier benefits.
Responsibilities
- Design, develop, and deploy scalable machine learning models and deep learning architectures for large-scale production environments.
- Lead the research and implementation of novel algorithms to improve model accuracy, latency, and efficiency.
- Collaborate closely with data scientists and software engineers to integrate AI solutions into the wider tech stack.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Optimize existing models for inference speed and cost-effectiveness using techniques such as quantization and pruning.
- Stay abreast of the latest advancements in the AI field (2026 Roadmap) and apply them to our product strategy.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with MLOps tools (Kubeflow, MLflow, Airflow) and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of distributed systems and high-availability architecture.
- Proven track record of deploying models that handle millions of requests per day.