Trase is looking to advance machine learning through cutting-edge research to solve real-world business problems.
Requirements
- Expertise in ML Model Training and Optimization
- Deep Knowledge of Language Model Fine-Tuning
- Proficiency in ML Frameworks such as TensorFlow, PyTorch, or similar
- Programming Skills in Python
- Experience with models such as GPT, BERT, or similar frameworks
- Ability to design and implement custom model architectures
- Strong understanding of machine learning and NLP frameworks
Responsibilities
- Lead ML Research and Development
- Architect Novel Training and Fine-Tuning Methodologies
- Evaluate Model Performance and Innovation
- Feedback System Design for Continuous Learning
- Stay Current on ML Advancements
- Mentor and Guide Team Members
- Cross-Functional Collaboration
Other
- Active Secret or Top Secret Clearance
- Located in the greater DMV area near Washington D.C. or our office in McLean, VA
- Some travel is required
- Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field
- Research Communication Skills: Ability to present complex technical concepts to both technical and non-technical stakeholders
