Senior ML Researcher, Applied Machine Learning (Security Clearance) at Red Cell Partners

McLean, Virginia, United States

Red Cell Partners Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
National Security, Cybersecurity, Healthcare, Artificial IntelligenceIndustries

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

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

Skills

Machine Learning
LLMs
Fine-Tuning
Model Optimization
ML Research
Model Architecture
Training Protocols

Red Cell Partners

Incubates technology companies for healthcare and security

About Red Cell Partners

Red Cell Partners focuses on creating and developing technology-driven companies that aim to make significant improvements in healthcare and national security. Their approach involves incubating new businesses that can quickly scale and bring effective solutions to market. The products and services they develop are designed to tackle critical issues facing the nation, utilizing advanced technology to create impactful tools. What sets Red Cell Partners apart from other firms is their strong commitment to innovation and a sense of responsibility towards addressing urgent national challenges. Their goal is to leverage technology to provide effective solutions that enhance the well-being and security of the nation.

New York City, New YorkHeadquarters
2020Year Founded
$327.4MTotal Funding
VENTURE_UNKNOWNCompany Stage
Defense, HealthcareIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Parental Leave

Risks

Increased competition from other defense-focused investment firms like General Catalyst.
Potential over-reliance on government contracts subject to political changes.
Rapid technological advancements may outpace Red Cell's adaptation capabilities.

Differentiation

Red Cell Partners uniquely combines investing with national security expertise.
They focus on rapidly scalable, technology-led companies in healthcare and national security.
Their leadership includes high-profile defense sector experts like Veronica B. Daigle.

Upsides

Increased focus on AI-driven cybersecurity solutions with companies like Andesite.
Strategic partnerships with firms like General Catalyst enhance their tech development capabilities.
Growing trend of AI integration in military logistics, as seen with DEFCON AI.

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