Senior Al Engineer

Namely; Mountain View (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Namely is seeking a Senior AI Engineer to join the team and help build the next generation of intelligent talent technology. This hands-on role offers the chance to work with large language models, recommender systems, and other AI tools in a real-world enterprise SaaS environment.

You will collaborate with experienced engineers, design and test AI features, and contribute to data preparation, model training, and evaluation.

Qualifications

• 3 - 5 years hands-on experience in machine learning concepts and Python programming.
• Deep knowledge of AI frameworks (TensorFlow, PyTorch, Scikit-Learn) is a plus.
• Experience with LLMs, Generative AI, or recommendation systems.

Responsibilities

• Support design, development, and testing of AI-driven features within Cornerstone’s Galaxy ecosystem.
• Collaborate on small projects involving NLP, recommender systems, or generative AI.
• Prepare datasets for model training and evaluation.
• Experiment with AI frameworks (TensorFlow, PyTorch, Hugging Face).
• Learn MLOps concepts like deployment, monitoring and retraining.
• Write clean, well-documented Python code.
• Participate in Agile ceremonies and team demos.

Skills

Python

Machine Learning

NLP

PyTorch

TensorFlow

Scikit-Learn

LLMs

Generative AI

Recommender systems

Education

Bachelor's or Master's in CS

Tools

Hugging Face

Job description

We’re looking for a curious, motivated Senior AI Engineer to join our team and help build the next generation of intelligent talent technology. This is a hands‑on opportunity to learn how AI and machine learning are developed and deployed in a real-world, enterprise SaaS environment. You’ll work alongside experienced engineers to explore how large language models, recommender systems, and other AI tools can make work more personal and efficient.

Responsibilities

Support the design, development, and testing of AI-driven features within Cornerstone’s Galaxy ecosystem. Collaborate with senior engineers on small projects involving natural language processing (NLP), recommendation systems, or generative AI. Help collect, clean, and prepare datasets for model training and evaluation. Experiment with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Learn about MLOps concepts such as model deployment, monitoring, and retraining. Assist in writing clean, well-documented code using Python and related libraries. Participate in Agile ceremonies and contribute to team discussions and demos. Stay curious—research new AI tools, libraries, or ideas that could enhance our platform.

Requirements

Bachelors or Master Degree in Computer Science , or a related field. 3 - 5 Years of hands on experience in machine learning concepts and Python programming. Deep knowledge and understanding of AI frameworks (TensorFlow, PyTorch, or Scikit-Learn) is a plus. Experience in LLMs, Generative AI, or recommendation systems. Eagerness to build and the ability to collaborate in a fast-paced, team environment. Strong communication skills and attention to detail. #LI-Onsite