Job Description
Are you ready to shape the future of technology?
Nexus Future Labs is a cutting-edge AI research and deployment company based in the heart of San Francisco. We are on a mission to build intelligent systems that solve complex global challenges. We are seeking a visionary Senior AI/ML Engineer to join our elite engineering team and drive the next generation of machine learning innovations.
In this role, you will be at the forefront of AI development, working with state-of-the-art architectures and large-scale datasets. You will collaborate with cross-functional teams of data scientists, researchers, and product managers to deliver robust, scalable AI solutions that impact millions of users.
Why Join Us?
- Competitive Compensation: $160k - $220k base salary + equity package.
- Flexible Work: Hybrid model (San Francisco HQ & Remote options).
- Continuous Learning: Access to the latest cloud infrastructure, GPUs, and research papers.
- Impact: Work on products that define the future of human-computer interaction.
If you are passionate about pushing the boundaries of what's possible with AI, we want to hear from you.
Responsibilities
- Model Development & Training: Design, train, and fine-tune advanced machine learning models, including Large Language Models (LLMs) and Computer Vision systems, using Python and modern frameworks.
- Research Implementation: Stay abreast of the latest academic research in AI/ML and implement novel architectures and algorithms to improve model performance and efficiency.
- Infrastructure & Deployment: Build and maintain scalable MLOps pipelines to ensure models are deployed reliably in production environments using cloud services (AWS/GCP).
- Performance Optimization: Conduct rigorous testing and optimization to reduce latency, improve throughput, and ensure model accuracy across diverse datasets.
- Collaboration: Partner with data scientists and product teams to translate business requirements into technical AI solutions.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence within the team.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
- Experience: 5+ years of professional experience in machine learning engineering, software development, or a similar research role.
- Programming: Proficiency in Python (PyTorch, TensorFlow, JAX, or scikit-learn) and strong knowledge of data structures and algorithms.
- Cloud & Tools: Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
- Mathematical Maturity: Strong foundation in linear algebra, calculus, probability, and statistics.
- Problem Solving: Exceptional analytical and problem-solving skills with a keen eye for detail.