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Red Cell Partners · 1 day ago

Senior ML Researcher, Applied Machine Learning (Security Clearance)

Seattle, WA

Full-time

Hybrid

Senior Level

$175K/yr - $225K/yr

Red Cell Partners is an incubation firm focused on building technology-led companies in healthcare, cyber, and national security. The Senior ML Researcher will lead innovations in machine learning model architecture and optimization, driving research and development to solve complex business challenges.

FinanceFinancial ServicesVenture Capital

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 CommunicationImpactful ML SolutionsEducational BackgroundMentoring Skills

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