Senior ML Researcher, Applied Machine Learning

Position Overview

• Location Type: Fully Remote, USA
• Job Type: Employment Type (Not specified)
• Salary: (Not specified)

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.

Trase Systems, co-founded in 2023 by Joe Laws and Grant Verstandig, offers "AI, Uncomplicated." Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. They provide an end-to-end solution for deploying, managing, and optimizing AI in the enterprise, specializing in bridging the “last mile” of AI adoption to drive efficiency and significant cost savings.

This role is for a Senior ML Researcher focused on applied ML, who is passionate about advancing machine learning through cutting-edge research and optimizing/fine-tuning machine learning models, especially language models, to address complex business challenges. The role emphasizes the exploration and development of research-based ML methodologies to optimize model performance and ensure systems are robust and adaptable to enterprise needs.

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.

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 Development: (Incomplete requirement)

Application Instructions

(Not specified)

Company Information

• Company: Red Cell Partners
• Affiliated Company: Trase Systems