Visionary Machine Learning Architect
hace 4 semanas
We are seeking a talented Machine Learning Scientist to join our team at Turnitin, LLC.
As a global organization with a diverse community of colleagues, we empower our employees to work remotely in a way that best suits them. Our default is remote work, and we respect local cultures and personal choices.
We have offices in several countries, including the United States, Mexico, the United Kingdom, Australia, Japan, India, and the Philippines. Our product roadmap is exciting and ambitious, and we are looking for someone to help us deliver cutting-edge Machine Learning systems.
The successful candidate will join a global team of scientists and engineers who are united by a commitment to delivering well-engineered Machine Learning solutions. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into our suite of learning, teaching, and integrity products.
Our platform has been used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have a significant impact on education globally.
**Responsibilities:**
- Answer questions and create trainable datasets from raw data using efficient SQL queries and scripting languages.
- Develop and tune Machine Learning models following best practices to select datasets, architectures, and model parameters.
- Utilize, adopt, and fine-tune Language Models, including third-party LLMs through prompt engineering and orchestration.
- Stay current in the field by reading research papers, experimenting with new architectures and LLMs, and sharing findings.
- Optimize models for scaled production usage.
- Write clean, efficient, and modular code with automated tests and appropriate documentation.
**Requirements:**
- Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised.
- A strong understanding of the math and theory behind machine learning and deep learning.
- Software engineering background with 3-5 years of experience (waived for a PhD in Computer Science or related).
- Machine/Deep Learning development skills, including experiment tracking.
- An understanding of Language Models, using and training/fine-tuning industry-standard LM families.
- Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math, or related field.
**Salary:** We offer a competitive salary of $120,000 per year, plus benefits.
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