Job Description
Are you ready to architect the intelligent systems of tomorrow? Nexus Future Labs is on the hunt for a visionary Senior AI/ML Engineer to join our elite engineering team in San Francisco. As we push the boundaries of generative AI and predictive modeling, we need a technical leader who can bridge the gap between theoretical innovation and scalable production deployment.
In this role, you will be at the forefront of developing next-generation algorithms that power our core product suite. You will work in a high-impact environment where your code directly influences millions of users globally. If you thrive in fast-paced, agile settings and possess a deep understanding of deep learning architectures, we want to hear from you.
Why Join Us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive compensation package including equity.
- Flexible remote-first culture with a San Francisco office hub.
- Continuous learning budget for conferences and certifications.
We are committed to diversity and inclusion. We encourage candidates from all backgrounds to apply.
Responsibilities
- Design, train, and deploy cutting-edge machine learning models and neural networks for production environments.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI-driven features.
- Optimize existing ML pipelines for speed, scalability, and accuracy to reduce latency.
- Conduct rigorous experimentation and A/B testing to validate model performance and business impact.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Stay abreast of the latest research in Deep Learning and NLP to integrate breakthroughs into our stack.
- Ensure model interpretability, fairness, and ethical AI practices throughout the development lifecycle.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- Minimum of 5+ years of professional experience in Machine Learning or Artificial Intelligence.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning methodologies.
- Excellent problem-solving skills and ability to work independently in a fast-paced startup environment.
- Strong communication skills, capable of translating complex technical concepts for diverse audiences.