Remote Data Engineer

Summary

Join a stealth healthcare incubation firm as a data engineer specializing in applied machine learning. You will be at the forefront of driving the development and optimization of ML systems, training models, building pipelines, fine-tuning Language Models (LLMs), and designing feedback systems.

Requirements

• Proven experience with ML system development and optimization
• Demonstrated expertise in training ML models and building robust training pipelines
• Extensive knowledge of fine-tuning Language Models (LLMs) to achieve desired outcomes
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar
• Proficiency in programming languages like Python or Go, and the ability to write efficient, clean, and maintainable code
• Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences
• A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Engineering, or a related field
• A track record of delivering impactful machine learning solutions that have been successfully deployed in real-world applications

Responsibilities

• Participate 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 Language Models (LLMs) 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 LLMs
• 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

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