Job Description
Are you ready to architect the next generation of intelligence?
NeuroForge AI is a cutting-edge research lab dedicated to pushing the boundaries of Artificial General Intelligence (AGI). We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. You will be responsible for developing, training, and deploying state-of-the-art Large Language Models (LLMs) and neural architectures that redefine human-computer interaction.
In this role, you won't just write code; you will define the mathematical foundations of our systems. We offer a competitive compensation package, equity options, and an environment that fosters radical innovation.
Responsibilities
- Design and implement scalable deep learning architectures for generative models and NLP tasks.
- Lead research initiatives to improve model accuracy, efficiency, and inference speed.
- Optimize large-scale training pipelines using distributed computing frameworks (Ray, Spark, or Kubernetes).
- Collaborate with product and engineering teams to translate theoretical research into production-ready APIs.
- Mentor junior researchers and engineers, fostering a culture of technical excellence.
- Stay abreast of the latest academic literature and implement novel techniques in our codebase.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- 5+ years of professional experience in AI/ML engineering, preferably with large language models.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of linear algebra, calculus, probability, and statistics.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP, or Azure).
- Track record of publishing at top-tier conferences (NeurIPS, ICML, ACL).