Senior Machine Learning Engineer

Welcome systems thinkers. System builds software to help the world see and solve anything as a system. We are a Public Benefit Corporation driven by purpose and shaped by values. We hire systems thinkers who are motivated by our purpose, share our values, and have the skills to advance our mission.

We are seeking a highly skilled and experienced Senior Machine Learning Engineer with a specialization in natural language processing (NLP) and (ideally) Large Language Models (LLM) to join our team. The ideal candidate will have a strong technical background in machine learning and related fields, as well as experience developing and deploying production-ready data pipelines.

In this role, you will be responsible for leading the development of advanced machine learning models and systems, with a focus on NLP and LLM. You will work closely with other engineers and data scientists on the team to design and implement efficient and effective data pipelines, and ensure that these pipelines are integrated seamlessly into our overall technology stack.

To be successful in this role, you should have extensive experience with NLP and LLM, as well as a proven track record of delivering high-quality machine learning solutions in a production environment. You should also have experience with common machine learning frameworks and libraries, such as TensorFlow and PyTorch, and be comfortable working with large, complex datasets.

You Will:

• Lead the development of advanced machine learning models and systems, with a focus on NLP
• Design, implement and document efficient and effective data pipelines, and ensure that these pipelines are integrated seamlessly into our overall technology stack
• Deploy machine learning models into production environments, which involves preparing the models for deployment, testing them in the production environment, and ensuring they are functioning correctly before going live.
• Keep abreast of the latest developments in the field of machine learning, and incorporate these developments into our technology stack
• Provide guidance and mentorship to other members of the team, and help to foster a culture of collaboration and continuous learning
• Inform best practices for train/test data curation and version control
• Statistical monitoring of models in production
• Monitor and evaluate machine learning infrastructure uptime and costs.

You Have:

• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Extensive experience with Python
• Extensive experience with …