Machine Learning Engineer, PEDM

Keeper Security, a leading provider of password management and digital vault solutions, is seeking a Senior Machine Learning Engineer to join their PEDM team. This is a remote position that requires deep expertise in machine learning, particularly in working with large language models and modern ML frameworks.

The role demands at least 5 years of professional machine learning engineering experience, with specific focus on fine-tuning large language models such as Llama, Qwen, BERT, and LSTM for real-world applications. The successful candidate will be working with cutting-edge ML frameworks including TensorFlow, PyTorch, and Hugging Face Transformers.

This position offers the flexibility of remote work, though candidates must be based in one of the specified U.S. states and be legally authorized to work in the United States. The role represents an opportunity to work at the intersection of artificial intelligence and cybersecurity, helping to enhance and innovate Keeper Security's product offerings.

As a Machine Learning Engineer, you'll be responsible for developing and implementing advanced ML solutions, working with state-of-the-art language models, and contributing to the company's mission of providing secure and innovative cybersecurity solutions. This is an excellent opportunity for an experienced ML professional looking to make a significant impact in the cybersecurity industry while working with modern AI technologies.

The position requires strong technical expertise in machine learning, demonstrated experience with large language models, and the ability to implement practical solutions using modern ML frameworks. You'll be joining a company that's at the forefront of cybersecurity innovation, offering the chance to work on meaningful projects that directly impact user security and privacy.