Join the pioneering Core-LLM platform team at ServiceNow, dedicated to advancing Generative AI.
Lead a talented team of machine learning engineers to develop robust, scalable, and safe machine learning models, including LLMs, SLMs, LRMs, and SRMs.
Generate and evaluate synthetic data to enhance the robustness, performance, and safety of machine learning models.
Train and fine-tune models using curated datasets, focusing on performance, reliability, and scalability.
Design and implement evaluation metrics to measure and monitor model quality, safety, and effectiveness.
Conduct experiments to validate model behavior and improve generalization across diverse use cases.
Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies.
Participate in the development, deployment, and continuous improvement of end-to-end AI solutions.
Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling.
Promote modern engineering practices, including continuous integration, continuous delivery, and containerized workflows.
Requirements:
Candidates must have 5+ years of experience in machine learning, deep learning, and AI systems.
Proficiency in Python and frameworks such as PyTorch, TensorFlow, and NumPy is required.
Experience in synthetic data generation, model training, and evaluation in real-world environments is essential.
A solid understanding of LLM fine-tuning, prompting, and robustness techniques is necessary.
Knowledge of AI safety principles and experience in identifying and mitigating model risks is required.
Hands-on experience deploying and optimizing models using platforms like Triton Inference Server is needed.
Familiarity with CI/CD, automated testing, and container orchestration tools like Docker and Kubernetes is important.
Experience with prompt engineering, including the ability to craft, test, and optimize prompts for task accuracy and efficiency, is required.
Benefits:
ServiceNow offers a flexible work environment, allowing for remote, flexible, or in-office work personas based on the nature of the job.
The company is committed to creating an accessible and inclusive experience for all candidates, providing accommodations as needed.
ServiceNow is an equal opportunity employer, ensuring all qualified applicants receive consideration without discrimination.
Employment may be contingent upon obtaining necessary export control approvals for certain positions.
