Job Description
Are you ready to define the future of intelligent systems?
Nexus Future Systems is seeking a visionary Senior AI Engineer to join our elite engineering team. We are at the forefront of developing next-generation generative AI and large language model (LLM) architectures that are reshaping industries. In this role, you will not just build models; you will architect scalable, ethical, and high-performance AI solutions that drive measurable business impact.
Join us in San Francisco and work on projects that matter. You will collaborate with world-class researchers and product engineers to deploy state-of-the-art neural networks into production environments, ensuring reliability and speed.
Why Join Us?
- Competitive salary and equity package.
- Flexible remote-first policy with a focus on in-office collaboration.
- Access to cutting-edge hardware and cloud infrastructure.
- Professional development and conference sponsorship opportunities.
Responsibilities
- Design, train, and deploy state-of-the-art machine learning models and neural networks.
- Build and maintain robust MLOps pipelines for model training, evaluation, and production serving.
- Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
- Optimize model inference latency and resource utilization for large-scale deployments.
- Conduct research into emerging AI architectures, including transformers and diffusion models.
- Ensure model fairness, transparency, and adherence to ethical AI standards.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in AI/ML engineering or research.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Extensive experience with NLP, LLMs, or Computer Vision.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of deploying models to production environments.