Job Description
Are you ready to architect the next generation of intelligent systems?
Nexus AI Labs is seeking a visionary Senior Machine Learning Engineer to join our elite team in San Francisco. We are pushing the boundaries of Natural Language Processing and Generative AI, and we need a technical leader who thrives in ambiguity and loves solving complex problems.
In this role, you won't just write code; you will build the foundation for how millions of users interact with AI. You will collaborate with world-class researchers and engineers to deploy scalable models that redefine industry standards.
Why Join Us?
- Competitive Compensation: $160k - $220k base + Equity + Bonus.
- State-of-the-Art Stack: Work with PyTorch, TensorFlow, and the latest LLMs.
- Remote-First Culture: Flexible work environment with top-tier benefits.
Responsibilities
- Design & Deploy: Architect and maintain end-to-end machine learning pipelines from data ingestion to model serving.
- Model Optimization: Fine-tune large language models and optimize inference performance for real-time applications.
- Research Implementation: Translate cutting-edge academic research into production-ready code and scalable architecture.
- Collaboration: Partner with Data Scientists and Product Managers to define technical roadmaps and product features.
- MLOps: Implement CI/CD pipelines, automated testing, and monitoring systems to ensure model reliability.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Programming: Proficiency in Python and experience with frameworks like PyTorch or TensorFlow.
- Algorithms: Strong understanding of statistics, linear algebra, and optimization algorithms.
- Infrastructure: Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).