Job Description
Join 2026, a pioneering force in artificial intelligence, as we architect the systems that will define the next decade of human-machine interaction. We are not just building software; we are building the future.
As a Senior AI Research Engineer at 2026, you will spearhead the development of our proprietary Large Language Models (LLMs) and generative AI systems. You will work in a dynamic, high-performance environment where your code will directly impact millions of users globally.
Why join us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a collaborative office in San Francisco.
We are looking for visionaries who are passionate about the ethical and transformative potential of AI.
Responsibilities
- Model Architecture: Design and implement scalable neural network architectures for large-scale NLP tasks.
- Research & Development: Conduct experimental research to push the boundaries of current AI capabilities, specifically in reasoning and generation.
- Code Optimization: Optimize model inference and training pipelines to reduce latency and increase throughput.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with product managers and designers to translate complex research into user-friendly applications.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning, deep learning, or NLP.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed training frameworks (Ray, Spark) is highly preferred.
- Tools: Strong familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP).
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.