Job description
NovaAI Labs is a leading AI research and production company accelerating intelligent capabilities across industries. We are seeking a Senior AI Engineer to architect, prototype, and scale ML solutions for real-world deployments. You will collaborate with data scientists, software engineers, and product teams to deliver robust AI services that power customer outcomes.
What you will do include designing end-to-end ML systems, defining data schemas, optimizing models for latency and cost, ensuring ethical and compliant AI practices, mentoring junior engineers, and contributing to architectural decisions.
We offer competitive compensation, generous equity, comprehensive benefits, and a culture focused on learning and impact. This role is based in San Francisco with flexible hybrid options.
Responsibility
- Lead design, development, and deployment of scalable AI and ML models across production systems.
- Collaborate with data engineers to build robust data pipelines and feature stores.
- Optimize models for latency, throughput, and cost in cloud environments (AWS and GCP).
- Drive MLOps practices including CI/CD for ML, monitoring, alerting, and retraining workflows.
- Mentor engineers, conduct code reviews, and promote best practices in AI delivery.
- Partner with product and research teams to translate business needs into practical AI solutions.
- Contribute to internal documentation and share knowledge through talks and tutorials.
Qualification
- Master's or PhD in Computer Science, AI, Data Science, or related field, or equivalent practical experience.
- 5+ years of AI/ML engineering or research with production systems.
- Strong programming in Python; experience with PyTorch or TensorFlow.
- Proven track record deploying ML models in cloud environments (AWS, GCP, Azure).
- Expertise in MLOps, model monitoring, data pipelines, and feature stores.
- Excellent communication and collaboration skills; ability to work across product, research, and software teams.