Job Description
Are you ready to define the trajectory of artificial intelligence? At 2026, we aren't just predicting the future; we are architecting it. We are seeking a visionary AI Research Engineer to lead our breakthrough initiatives in Generative AI and Cognitive Computing.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will work with a world-class team to solve the most complex challenges in machine learning ethics, safety, and efficiency. If you are passionate about shaping the technological landscape of tomorrow, this is your opportunity.
Why Join Us?
- Work on cutting-edge technology that defines the next era of AI.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a hub in the heart of San Francisco.
Responsibilities
- Design and implement cutting-edge deep learning architectures for large-scale NLP and Computer Vision applications.
- Lead the research and development of proprietary algorithms to enhance model accuracy and reduce latency.
- Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to translate research into product features.
- Conduct rigorous testing and validation to ensure AI systems are robust, fair, and explainable.
- Stay abreast of the latest academic literature and industry trends to drive innovation within the organization.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 3+ years of experience in research engineering or applied machine learning roles.
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Strong understanding of neural network architectures, transformers, and optimization techniques.
- Demonstrated ability to publish in top-tier conferences (NeurIPS, ICML, CVPR) is highly preferred.