Remote Senior Machine Learning Engineer

Description:

• 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.