Red Cell Partners

Senior Machine Learning Engineer

Seattle, Washington, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Artificial Intelligence, Defense & National SecurityIndustries

Requirements

Candidates should possess a Master’s or PhD degree in computer science, statistics, mathematics, or a related field, or equivalent work experience with 5+ years of experience in software engineering, specifically building and delivering data science, machine learning, or data analytics solutions in products at scale. Proficiency in one or more programming languages such as Python, Java, or Scala is required, along with experience using machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms and services such as AWS, Azure, or GCP is also necessary.

Responsibilities

The Senior Machine Learning Engineer will design, develop, and deploy agentic AI solutions involving LLMs, RAG, and context/memory management, potentially developing additional models for specific use cases and collaborating with data engineers for data requirements. They will build and maintain scalable and reliable AI/ML infrastructure to support model deployment, monitoring, and optimization, contributing to the full AI/ML lifecycle and implementing observability tools. Furthermore, the role involves working closely with product managers, product developers, threat analysts, and other engineers to understand business requirements and translate them into ML solutions, and staying current with the latest research in machine learning and cybersecurity to implement new findings into the core technology.

Skills

Machine Learning
AI/ML product development
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Model fine-tuning
AI/ML infrastructure
Model deployment
Data collaboration

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI