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Trase · 3 months ago

Senior ML Researcher, Applied Machine Learning (Security Clearance)

McLean, VA

Full-time

Hybrid

Senior Level

$175K/yr - $225K/yr

Trase Systems is an innovative company focused on simplifying AI adoption for enterprises. They are seeking a Senior ML Researcher to lead the research and development of machine learning models, optimize performance, and collaborate with cross-functional teams to address complex business challenges.

Artificial Intelligence (AI)Generative AIService Industry

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

ML Model TrainingLanguage Model Fine-TuningML FrameworksPythonResearch CommunicationEducational BackgroundImpactful ML SolutionsStaying Current on MLMentoringCross-Functional Collaboration

Required

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