Job Description
Are you ready to architect the future of intelligence? Aether Systems is seeking a visionary Senior Generative AI Engineer to join our elite engineering team in San Francisco. As we push the boundaries of Large Language Models (LLMs) and multimodal AI, you will be at the forefront of creating solutions that redefine human-computer interaction.
We are looking for a builder, not just a user. If you thrive in a fast-paced, high-impact environment and have a passion for pushing AI to its limits, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI models that will shape the industry in 2026 and beyond.
- Competitive salary and equity package.
- Flexible remote/hybrid options.
- Top-tier health and wellness benefits.
Responsibilities
- Design, train, and fine-tune large-scale foundation models to solve complex business problems.
- Architect scalable inference pipelines and optimize model performance for production environments.
- Collaborate with cross-functional teams of researchers and product managers to translate technical requirements into AI solutions.
- Implement robust MLOps practices, including CI/CD, monitoring, and automated retraining pipelines.
- Stay ahead of the curve by researching the latest advancements in Generative AI, NLP, and deep learning architectures.
- Contribute to the open-source community and internal knowledge base.
Qualifications
- Master’s or Ph.D. in Computer Science, AI, or a related technical field (or equivalent industry experience).
- 5+ years of professional experience in Python, TensorFlow, PyTorch, or JAX.
- Deep understanding of transformer architectures, attention mechanisms, and fine-tuning techniques (LoRA, PEFT, QLoRA).
- Experience deploying AI models on cloud infrastructure (AWS, GCP, or Azure).
- Strong proficiency in MLOps tools such as MLflow, Kubeflow, or Airflow.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.