Demo

Staff Applied Machine Learning Engineer

Tbwa Chiat/Day Inc
Washington, DC Full Time
POSTED ON 2/20/2025
AVAILABLE BEFORE 5/17/2025

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

    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.

    Apply for this job

  • indicates a required field
  • First Name

    Last Name

    Email

    Phone

    Resume / CV

    Website

    LinkedIn Profile URL

    Where are you currently located?

    Do you have authorization to work in the United States?

  • Select...
  • Do you require sponsorship now or in the future?

  • Select...
  • How many years of software engineering and development experience do you have?

  • Select...
  • Do you have previous experience in a health-tech company? If so, please provide a brief summary below.

    J-18808-Ljbffr

    Salary : $170,000 - $225,000

    If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
    Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

    What is the career path for a Staff Applied Machine Learning Engineer?

    Sign up to receive alerts about other jobs on the Staff Applied Machine Learning Engineer career path by checking the boxes next to the positions that interest you.
    Income Estimation: 
    $128,610 - $169,671
    Income Estimation: 
    $131,357 - $193,022
    Income Estimation: 
    $162,444 - $208,834
    Income Estimation: 
    $195,801 - $254,734
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $149,493 - $192,976
    Income Estimation: 
    $77,900 - $95,589
    Income Estimation: 
    $101,387 - $124,118
    Income Estimation: 
    $101,387 - $124,118
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $149,493 - $192,976
    Income Estimation: 
    $184,796 - $233,226
    View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

    Job openings at Tbwa Chiat/Day Inc

    Tbwa Chiat/Day Inc
    Hired Organization Address Washington, DC Full Time
    Washington, District of Columbia, United StatesBurson is the global communications leader built to create value for clie...
    Tbwa Chiat/Day Inc
    Hired Organization Address Washington, DC Full Time
    Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology...
    Tbwa Chiat/Day Inc
    Hired Organization Address Washington, DC Full Time
    Director of AI Model Evaluation & Quality Validation - LLMs & Generative AI Seattle, WA Director of AI Model Evaluation ...
    Tbwa Chiat/Day Inc
    Hired Organization Address Washington, DC Contractor
    Pasadena, California, United States San Francisco, California, United States Washington, District of Columbia, United St...

    Not the job you're looking for? Here are some other Staff Applied Machine Learning Engineer jobs in the Washington, DC area that may be a better fit.

    Staff Machine Learning Engineer

    YourCode Recruitment, Washington, DC

    AI Assistant is available now!

    Feel free to start your new journey!