Job Description
About Apex Future Systems:
We are pioneering the technological landscape of the coming decade. As a leader in the 2026 Vision initiative, we are building the foundational AI architectures that will define the future of human-computer interaction. We are seeking a visionary Senior Generative AI Engineer to join our elite R&D division in San Francisco. You will be at the forefront of developing Large Language Models (LLMs), autonomous agents, and next-generation neural networks.
Why Join Us?
• Work on cutting-edge technology that will scale into 2026 and beyond.
• Competitive compensation and equity packages.
• Collaborative environment with industry pioneers.
Responsibilities
- Architect LLM Solutions: Design and implement scalable Generative AI models tailored for enterprise applications and consumer products.
- Optimize Performance: Enhance model inference speed and reduce latency for real-time AI applications.
- Research & Development: Stay ahead of the curve in AI research, integrating novel techniques like Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
- Data Strategy: Lead the curation and processing of high-quality training datasets to ensure model accuracy and fairness.
- Ethical AI: Establish and enforce guidelines for responsible AI usage, ensuring compliance with emerging regulations.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in Machine Learning and Deep Learning engineering.
- Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems.
- NLP: Deep knowledge of Natural Language Processing, specifically in fine-tuning LLMs (e.g., GPT, Llama, BERT architectures).
- Problem Solving: Proven track record of solving complex technical challenges and delivering production-ready code.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.