Job Description
Are you ready to define the future of technology? Apex Innovation Systems is seeking a visionary Senior AI Research Engineer to spearhead our initiatives for the 2026 era. We are building the next generation of neuromorphic computing and autonomous agents, and we need a technical leader to bridge the gap between theoretical research and scalable production systems.
In this role, you will not just use existing tools; you will help invent the frameworks that will power the intelligent infrastructure of tomorrow. You will work in a high-performance, collaborative environment alongside top-tier researchers and engineers.
Why join us?
• Work on cutting-edge projects with a direct impact on global industries.
• Competitive compensation package and equity options.
• Flexible remote-first culture with premium in-office amenities in the heart of SF.
Responsibilities
- Architect Advanced Models: Design and implement state-of-the-art machine learning models, focusing on large language models (LLMs) and generative AI architectures for 2026 use cases.
- Optimize Performance: Engineer scalable data pipelines and inference systems to reduce latency and improve model efficiency in edge environments.
- Research Leadership: Conduct in-depth research into emerging AI paradigms, including reinforcement learning and computer vision advancements.
- Product Integration: Collaborate closely with product management and engineering teams to integrate complex AI solutions into user-facing applications.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence within the research division.
- Ethical AI: Establish and enforce guidelines for responsible AI development, ensuring fairness, transparency, and safety in our models.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Mathematics, Statistics, or a related field, with a focus on Artificial Intelligence.
- Experience: Minimum of 5+ years of professional experience in machine learning engineering, with at least 2 years leading complex research projects.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow. Strong understanding of neural networks and distributed systems.
- Domain Knowledge: Proven track record in Natural Language Processing (NLP) or Computer Vision, with a portfolio of published research or deployed products.
- Cloud Expertise: Experience deploying models on major cloud platforms (AWS, GCP, or Azure) using containerization technologies like Docker and Kubernetes.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.