Job Description: 

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 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. 

Requirements: 

• Proven experience in a leadership role driving 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, Engineering, or a related field. A Ph.D. in Machine Learning or a relevant area is a plus. 
• A track record of delivering impactful machine learning solutions that have been successfully deployed in real-world applications. 

Benefits: 

• Competitive salary and performance-based bonuses. 
• Comprehensive health and wellness benefits package. 
• Flexible work hours. 
• Opportunities for professional development and continued learning. 
• Collaborative and inclusive work environment.