Staff Applied Machine Learning Engineer

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, 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. 

About LightBox: 

LightBox is a care enablement platform that helps healthcare providers keep pace with the ever-changing landscape of payer rules and regulations to improve revenue cycle management outcomes. To that end, the company uses data engineering and AI so providers can ensure revenue integrity; reduce denials and cost to collect; and improve credentialing management and contract performance.  

Are you passionate about driving innovation through machine learning in healthcare? 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 Lightbox Health, a cutting-edge healthcare technology company. 

As a Staff Applied Machine Learning Engineer at Lightbox Health, 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 in healthcare applications. If you're a forward-thinking, technically adept individual with a passion for machine learning and healthcare innovation, this role is for you. 

Responsibilities: 

• Lead the team in architecting, building, and optimizing ML systems to deliver high-quality, real-world results in healthcare settings. 
• Design and implement robust training pipelines for machine learning models, ensuring efficiency and scalability for healthcare data. 
• Fine-tune ML models to meet specific healthcare needs and optimize their performance for various medical applications. 
• Develop and implement feedback mechanisms to continuously improve the accuracy and effectiveness of ML in healthcare contexts. 
• Collaborate with cross-functional teams to understand healthcare business requirements and translate them into actionable ML solutions. 
• Stay up-to-date with the latest advancements in machine learning and healthcare technology, implementing best practices to enhance our ML infrastructure. 
• Coach and mentor junior data engineers, fostering a culture of continuous learning and growth within the Lightbox Health team. 
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner, particularly in healthcare contexts. 

 Requirements: 

• 10+ years of experience in computer science or an equivalent field  
• Proven experience in a leadership role driving ML system development and optimization, preferably in healthcare or related fields. 
• Demonstrated expertise in training ML models and building robust training pipelines for real-world applications. 
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or similar. 
• Proficient in programming languages like Python or Go, with 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 track record of delivering impactful machine learning solutions that have been successfully deployed in production environments. 

 Nice to Have:

• Familiarity with healthcare data privacy regulations and best practices for handling sensitive information. 
• Expertise in NLP and document processing techniques such as OCR, entity extraction, or embedding generation, particularly for healthcare documents. 
• Experience with algorithms for searching, sorting, and retrieval of structured and unstructured data, with familiarity in tools like vector databases, graph databases,  ElasticSearch, or similar. 
• Understanding of medical claims processing, payer-provider workflows, and healthcare-related standards like ICD, CPT, SOC2, FHIR. 
• Familiarity with MLOps best practices, including CI/CD, model versioning, monitoring, and retraining workflows 
• Experience designing systems with a focus on low-latency APIs or data pipelines for high-performance environments 

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 in healthcare technology. 
• Occasional travel to collaborate with your team in person. 
• Optional 401K and FSA available. 
• Ability to work fully remote within the United States. 

 Salary Range: $170,000 - $225,000. This represents the typical salary range for this position based on experience, skills, and other factors. 

 #LI-RCP 

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.