Senior ML Engineer - Applied Machine Learning

November 2, 2024

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Red Cell Partners

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Red Cell Partners is a company that creates, launches, and scales technology companies focusing on healthcare, cybersecurity, and national security. Founded with the mission to drive transformative advancements, Red Cell Partners invests in and develops companies that address critical challenges within these sectors. Their approach is rooted in innovation and collaboration, leveraging a network of entrepreneurs, operators, and technologists. Red Cell Partners aims to bring revolutionary solutions to market, contributing to technological renewal in industries crucial for national wellbeing.

11 - 50 employees

⚕️ Healthcare Insurance

🔒 Cybersecurity

🔐 Security

📋 Description

• About Us: Red Cell Partners is an incubation firm building and investing in technology-led companies. • Location: Remote, USA • Company Overview: Trase Systems is AI, Uncomplicated, empowering leaders to harness AI's potential. • Job Description: Seeking a Senior ML Engineer to advance ML systems focusing on model training, pipeline development, and fine-tuning LLMs. • Responsibilities: Architect, Build, and Optimize ML Systems, develop and deploy models, design efficient pipelines, fine-tune LLMs, and collaborate with teams.

🎯 Requirements

• ML Systems Expertise: Proven experience in developing, optimizing, and deploying ML systems in production environments. • Model Training and Pipeline Mastery: Strong background in building and managing end-to-end training pipelines for ML models. • LLM Fine-Tuning: Extensive knowledge and hands-on experience in fine-tuning large language models for specific use cases and optimizing them for targeted outcomes. • Framework Proficiency: Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools used in ML model development. • Programming Skills: Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications. • Clear Communicator: Ability to distill complex ML concepts for both technical and non-technical audiences. • Educational Background: Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field. • Impactful ML Solutions: A track record of delivering and implementing machine learning solutions that have successfully driven value in real-world applications.

🏖️ Benefits

• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. • Paid maternity and paternity for 14 weeks at employees' normal pay. • Unlimited PTO, with management approval with all Federal holidays observed. • Opportunities for professional development and continued learning. • Occasional travel to our offices in Washington D.C or alternative locations to collaborate with your team in person. • Optional 401K and FSA available. • Ability to work fully remote within the United States.