Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
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.
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.
Incubates technology companies for healthcare and security
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.