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 NLP models and pipelines
- Demonstrable experience of delivering high-quality machine learning solutions in a production environment
- Experience with common machine learning frameworks and libraries, such as TensorFlow and PyTorch
- Extensive experience with at least one ML and data pipeline framework such as Kubeflow, Airflow, etc.
- Extensive experience with SQL/postgres/BigQuery
- Experience with Spark or map-reduce/hadoop framework for parallel processing
- Comfortable working with large, complex datasets
- Excellent communication and collaboration skills
- Strong problem-solving abilities and attention to detail.
Nice to Have:
- PhD degree in a computer science or related field
- Experience with designing data-aware pipelines and data lineage frameworks such as OpenLineage
- Experience with GPT-3 and prompt engineering
- Startup experience
The salary range for this role is $200,000 to $220,000. About System We aspire to help the world see itself differently and build a more responsible and values-driven model of a tech company. We are backed by top-tier VCs in Silicon Valley and New York and leading angel investors and founded by the former VP Data at Spotify. To learn more about what motivates our social mission, we invite you to read our blog here. We believe in the power of small, autonomous, interdisciplinary, and diverse teams; in agile development; and in leading with values, first principles, and clear high-level priorities backed by data. We believe in cultivating a growth mindset for our team - always learning, improving, being challenged, and having opportunities for professional and personal development. System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination. We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Job applicants must be legally authorized to work in the United States of America and must maintain ongoing work authorization during employment.