Artificial Intelligence Engineer in San Francisco: Shape the Future of Autonomous Systems

We are seeking a visionary Artificial Intelligence Engineer to pioneer the development of intelligent, scalable systems that redefine automation. In this role, you will move beyond theoretical research to build and deploy production-grade AI models that solve real-world challenges. If you thrive on transforming complex data into actionable intelligence and seek a position with immense technical growth and impact, your journey starts here.

About the Role

As a core member of our AI R&D team, you will be instrumental in designing, training, and optimizing the neural networks and machine learning pipelines that form the brain of our autonomous platforms. This is not a maintenance role; it’s a creation role. You will work alongside world-class engineers and data scientists to take projects from prototype to full-scale deployment, ensuring our AI systems are robust, efficient, and ethically aligned. Your work will directly influence products used by millions, pushing the boundaries of what machines can learn and decide.

Key Responsibilities

Core Duties

You will architect end-to-end machine learning solutions, from data ingestion and feature engineering to model training, evaluation, and serving. This includes developing novel deep learning architectures for computer vision and natural language processing tasks, optimizing inference for speed and accuracy on edge devices, and implementing continuous learning systems that adapt over time. You will also be tasked with creating comprehensive test suites and monitoring tools to ensure model performance and reliability in production environments.

Requirements

Must-Have Qualifications

We require a Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field. You must have at least 4 years of hands-on experience developing and deploying ML models in a production setting. Expert proficiency in Python and core ML libraries (TensorFlow, PyTorch, Scikit-learn) is non-negotiable. You should have a strong foundation in software engineering best practices (CI/CD, version control, containerization) and a deep understanding of ML algorithms, statistical modeling, and data structures. A track record of publishing in top-tier AI conferences (NeurIPS, ICML, CVPR) is a significant plus.

Nice-to-Have Skills

Experience with large-scale distributed training frameworks (Ray, Horovod), cloud AI services (AWS SageMaker, GCP Vertex AI), and MLOps tools (MLflow, Kubeflow) will make your application stand out. Familiarity with reinforcement learning, generative AI models, or working with time-series and IoT data is highly desirable. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders are essential for this cross-functional role.

Benefits & Compensation

We offer a highly competitive salary range of $150,000 – $220,000 USD/year, determined by experience and impact, complemented by a meaningful equity package and an annual performance bonus. Our benefits are designed for your whole life: comprehensive health, dental, and vision insurance for you and your family, a flexible 401(k) match, and unlimited discretionary time off. We provide a dedicated learning budget for conferences and courses, top-tier equipment of your choice, and a hybrid work model that blends focused remote work with collaborative in-office time at our modern San Francisco headquarters.

Our Tech Stack

You will work with a modern, cloud-native stack. Our primary environments are AWS and GCP. We utilize Kubernetes for orchestration, Docker for containerization, and Apache Airflow for pipeline management. Our core ML frameworks are PyTorch and TensorFlow, with experimentation tracked in MLflow. Data lives in our Snowflake and BigQuery warehouses, and we use Databricks for large-scale processing. This is a high-performance engineering environment where your code will be scalable, testable, and deployed globally.

Why Join NexaCore AI?

NexaCore AI is at the inflection point of a major growth phase, backed by top-tier venture capital. Here, your work has a clear line of sight to product and customer impact. We foster a culture of intellectual curiosity, blunt feedback, and shared ownership. You will tackle problems that are unsolved, surrounded by colleagues who are both supportive and fiercely competent. We believe in building technology that augments human capability responsibly. If you are driven by a desire to build foundational AI technology and see your models make intelligent decisions in the real world, we want to hear from you.

Ready to architect the intelligence of tomorrow? Please submit your resume, a link to your GitHub or portfolio, and a brief note describing the most challenging ML problem you’ve solved and why it was significant to careers@nexacore.ai.