Job Description
Are you ready to build the future?
2026 Innovations is a cutting-edge research lab pushing the boundaries of Generative AI and Human-Computer Interaction. We are looking for a visionary Senior AI Engineer to join our core team in San Francisco. If you are passionate about solving complex problems and shaping the technological landscape of tomorrow, we want to hear from you.
At 2026, we don't just predict the future; we architect it. You will work on projects that redefine user experiences and set new standards in the industry.
Responsibilities
- Architect & Develop: Design, train, and deploy scalable machine learning models and deep neural networks.
- Research Leadership: Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision, publishing findings in top-tier conferences.
- Collaboration: Partner with product managers and designers to translate technical requirements into intuitive, high-performance features.
- Optimization: Ensure models are production-ready, optimized for latency, and capable of handling high-volume inference.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Infrastructure: Work closely with the DevOps team to implement robust MLOps pipelines for model monitoring and retraining.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping complex products.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark).
- Domain Expertise: Deep understanding of Large Language Models (LLMs), fine-tuning strategies, and RAG (Retrieval-Augmented Generation).
- Problem Solving: Strong analytical skills with the ability to troubleshoot complex system issues in real-time.
- Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.