Senior ML Researcher, Applied Machine Learning (Security Clearance)

Trase Systems • McLean, VA

91d • $175,000 - $225,000

About The Position

Are you passionate about advancing machine learning through cutting-edge research? Do you thrive in optimizing and fine-tuning machine learning models, especially language models, to address complex business challenges? If so, we have an exciting opportunity for you as a Senior ML Researcher focused on applied ML. In this role, you will spearhead innovations in machine learning model architecture, fine-tuning, and continuous improvement. This role emphasizes the exploration and development of research-based ML methodologies to optimize model performance and ensure our systems are both robust and adaptable to enterprise needs.

Requirements

• Expertise in ML Model Training and Optimization: Proven experience with ML research, including designing and evaluating novel training methodologies, model architectures, and optimization techniques.
• Deep Knowledge of Language Model Fine-Tuning: Demonstrated proficiency in customizing and fine-tuning language models to meet specific use cases, with experience in models such as GPT, BERT, or similar frameworks.
• Proficiency in ML Frameworks: Strong understanding of machine learning and NLP frameworks like TensorFlow, PyTorch, or similar, with the ability to design and implement custom model architectures.
• Programming Skills: Proficiency in Python with an emphasis on writing efficient, maintainable, and scalable code.
• Research Communication Skills: Ability to present complex technical concepts to both technical and non-technical stakeholders, highlighting the business impact of ML innovations.
• Educational Background: A Master’s or PhD in Computer Science, Machine Learning, or a related field, with a focus on ML research.
• Impactful ML Solution Delivery: Proven track record of delivering ML solutions that have made significant real-world impact, ideally within an enterprise or production setting.
• Active Secret or Top Secret Clearance

Responsibilities

• Lead ML Research and Development: Drive the research, development, and optimization of machine learning models, focusing on solving real-world business problems through advanced ML techniques.
• Architect Novel Training and Fine-Tuning Methodologies: Design, implement, and iterate on advanced training protocols, fine-tuning processes, and optimization strategies, particularly for Language Models (LLMs).
• Evaluate Model Performance and Innovation: Develop and refine techniques for assessing and enhancing the effectiveness of ML models, focusing on accuracy, scalability, and adaptability to dynamic enterprise requirements.
• Feedback System Design for Continuous Learning: Create systems that incorporate user and system feedback to iteratively improve model performance over time.
• Cross-Functional Collaboration: Work closely with product teams and domain experts to translate business needs into research questions and actionable ML strategies.
• Stay Current on ML Advancements: Actively monitor the latest research in ML and NLP, integrating cutting-edge practices and methodologies into our development pipeline.
• Mentor and Guide Team Members: Provide technical guidance to junior researchers, fostering a culture of continuous learning, experimentation, and research-driven development.

Benefits

• Career track opportunity with potential for rapid advancement with strong performance as the firm grows.
• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development and continued learning.
• Optional 401K, FSA, and equity incentives available.
• Some travel is required.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree