Job Description
Are you ready to define the technological landscape of tomorrow? Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. As we accelerate our roadmap toward 2026, we need a master of machine learning to drive our next generation of generative AI and autonomous systems.
In this role, you won't just maintain the status quo; you will architect the solutions that will define the next era of human-computer interaction. You will work with state-of-the-art models, optimize deep learning infrastructure, and collaborate with a cross-functional team of researchers and engineers to build products that scale.
Why Join Us?
- Work on high-impact projects that prepare our infrastructure for 2026 and beyond.
- Competitive compensation package including equity and bonuses.
- Top-tier health, dental, and vision coverage.
- Flexible remote-first policies with access to premium tech hubs.
If you are passionate about pushing the boundaries of AI and want to be at the forefront of innovation, we want to hear from you.
Responsibilities
- Architect & Deploy: Design, train, and deploy scalable machine learning models and deep learning pipelines that handle millions of transactions per day.
- Optimization: Continuously optimize model inference speed and accuracy, reducing latency and resource consumption for real-time applications.
- Research & Innovation: Stay at the bleeding edge of AI research, integrating cutting-edge techniques (e.g., Transformers, Diffusion Models) into production environments.
- Collaboration: Partner with data scientists and software engineers to bridge the gap between research prototypes and production-ready software.
- Mentorship: Guide junior engineers and data scientists, conducting code reviews and fostering a culture of technical excellence.
- Infrastructure: Manage cloud infrastructure (AWS/GCP) and ensure robust CI/CD pipelines for model deployment.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, Physics, or a related field (PhD preferred) with 5+ years of industry experience.
- Programming: Expert proficiency in Python and C++ with deep experience in frameworks such as PyTorch, TensorFlow, or JAX.
- Core Skills: Strong foundation in Linear Algebra, Calculus, and Statistics.
- NLP/LLM: Proven experience in Natural Language Processing (NLP) and Large Language Model (LLM) fine-tuning or RAG implementation.
- Software Engineering: Experience designing microservices and APIs; familiarity with containerization (Docker/Kubernetes).
- Problem Solving: Ability to debug complex distributed systems and troubleshoot performance bottlenecks under pressure.