Job Description
At Nexus AI Labs, we are building the next generation of autonomous reasoning engines. We are looking for a highly skilled Senior Machine Learning Engineer to join our core research and engineering team in San Francisco. You will be instrumental in deploying state-of-the-art models that process multi-modal data at scale, directly impacting the future of artificial general intelligence.
This role offers a unique opportunity to work on proprietary infrastructure and collaborate with top-tier talent from across the globe in a high-impact, fast-paced environment.
Responsibilities
- Architect and implement scalable machine learning pipelines for training large-scale foundation models.
- Collaborate with research scientists to transition experimental models into production-ready deployments.
- Optimize model inference latency and throughput for high-concurrency environments.
- Monitor and evaluate model performance metrics to ensure continuous improvement and reliability.
- Mentor junior engineers and contribute to the technical vision of the machine learning infrastructure.
- Contribute to internal R&D initiatives focusing on novel neural network architectures.
- Ensure best practices for MLOps, including automated testing, versioning, and deployment strategies.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, computer vision, or NLP.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or JAX.
- Strong understanding of distributed systems and cloud-based infrastructure (AWS/GCP).
- Proven track record of deploying ML models to production environments handling high traffic.
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for machine learning.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.