Staff Data Engineer, Applied Machine Learning at Red Cell Partners | Torre
Staff Data Engineer, Applied Machine Learning
Red Cell Partners
Red Cell Partners

Staff Data Engineer, Applied Machine Learning

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Full-time

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+ Health insurance

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Remote (for United States residents)
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Visa sponsorship: No
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Posted over 1 year ago

Responsibilities & more

Red Cell Partners is an incubation firm building rapidly-scalable technology-led companies that are bringing revolutionary advancements to market in healthcare 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. Are you passionate about driving innovation through machine learning? Do you thrive in building and optimizing ML systems? If so, we have an exciting opportunity for you as a founding team member and lead data engineer at a stealth healthcare incubation. As a Staff Data Engineer specializing in Applied Machine Learning, you will be at the forefront of driving the development and optimization of our ML systems. You will play a crucial role in training ML models, building training pipelines, fine-tuning Language Models (LLMs), and designing feedback systems to continuously improve their performance. If you're a forward-thinking, technically adept individual with a passion for machine learning, this role is for you. Responsibilities: - Lead the team in architecting, building, and optimizing ML systems to deliver high-quality, real-world results. - Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability. - Fine-tune ML models to meet specific business needs and optimize their performance for various applications. - Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of ML. - Collaborate with cross-functional teams to understand business requirements and translate them into actionable ML solutions. - Stay up-to-date with the latest advancements in machine learning and implement best practices to enhance our ML infrastructure. - Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the team. - Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
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