Job Description
Are you ready to architect the intelligence of tomorrow?
Nexus Future Systems is pioneering the next generation of generative AI and autonomous agents. We are seeking a visionary Senior AI/ML Engineer to lead our 2026 product roadmap. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Transformer architectures, and real-time inference, we want to hear from you.
As a key member of our Core AI team, you will bridge the gap between cutting-edge research and production-grade scalability. You will work directly with our CTO and research scientists to build systems that redefine human-computer interaction.
Why join us?
- Work on the bleeding edge of AI technology.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect & Deploy: Design and implement scalable machine learning pipelines and deploy state-of-the-art models to production environments using Kubernetes and AWS.
- Model Optimization: Focus heavily on optimizing LLM inference speeds and costs, implementing techniques like quantization, pruning, and distillation for the 2026 standard.
- R&D Leadership: Conduct research on novel neural network architectures and contribute to the internal open-source library used across the company.
- Collaboration: Partner with data engineers to ensure high-quality data ingestion pipelines and with product managers to translate technical requirements into user-facing features.
- Mentorship: Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning within the AI squad.
Qualifications
- Education: Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related quantitative field.
- Core Stack: Deep proficiency in Python, PyTorch, and TensorFlow.
- Experience: 5+ years of experience in building and deploying ML models at scale.
- Specialization: Strong background in Natural Language Processing (NLP) and Generative AI.
- DevOps: Experience with cloud platforms (AWS/Azure/GCP), Docker, and CI/CD pipelines.
- Language: Fluent in English (professional technical communication).