Job Description
Nexus AI Labs is at the forefront of generative artificial intelligence, building autonomous systems that solve complex real-world problems. We are seeking a visionary Senior Machine Learning Engineer to join our high-impact team in San Francisco. If you are passionate about pushing the boundaries of deep learning, model architecture, and scalable AI infrastructure, this is the environment where you will thrive.
As part of our core engineering team, you will bridge the gap between cutting-edge research and production-grade software, ensuring our models are performant, ethical, and scalable.
Responsibilities
- Architect and implement advanced deep learning models for large-scale production environments.
- Collaborate with research scientists to transition prototypes into robust, scalable software services.
- Optimize model inference pipelines to reduce latency and improve resource efficiency.
- Design and maintain data pipelines for high-velocity training datasets.
- Mentor junior engineers and champion best practices in ML engineering and code quality.
- Conduct rigorous A/B testing and model evaluation to drive product performance.
- Stay current with industry advancements in NLP, computer vision, and transformer architectures.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in building and deploying machine learning models.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing and cloud infrastructure (AWS or GCP).
- Demonstrated experience with MLOps practices, including CI/CD for ML and model monitoring.
- Strong problem-solving abilities and a track record of shipping complex AI products.
- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.