Job Description
We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. As we look toward the technological horizons of 2026, we are building the next generation of autonomous agents and generative models that will define the future of human-machine interaction.
In this role, you will not just be writing code; you will be architecting the neural foundations for the digital world of tomorrow. You will work with cutting-edge hardware and the latest advancements in transformer architectures to solve complex, unsolved problems in reasoning and creativity.
Why Join Us?
- Be at the forefront of the AI revolution, shaping the roadmap for 2026 and beyond.
- Competitive equity package and top-tier healthcare benefits.
- Collaborate with world-class researchers and engineers in a dynamic, fast-paced environment.
Responsibilities
- Pioneer Research: Lead independent research initiatives focused on next-generation Large Language Models (LLMs) and multimodal systems, anticipating trends for the 2026 landscape.
- Model Optimization: Design and implement scalable training pipelines and efficient inference engines to deploy models on edge and cloud infrastructure.
- Technical Strategy: Collaborate with product leadership to translate theoretical research into practical, high-impact AI features.
- Code Excellence: Maintain high standards of code quality, documentation, and reproducibility within the research team.
- Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Validation: Rigorously evaluate model performance, bias, and safety to ensure responsible AI deployment.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence, Machine Learning, or Deep Learning.
- Experience: 5+ years of industry experience in AI/ML research or a related technical role.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; extensive experience with transformer architectures and attention mechanisms.
- Problem Solving: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, etc.) or shipping high-impact production AI models.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Adaptability: Strong passion for exploring emerging technologies and a self-starter mentality ready to tackle the unknown.