Burtch Works
Join to apply for the
Machine Learning Engineer
role at
Burtch Works Join to apply for the
Machine Learning Engineer
role at
Burtch Works This range is provided by Burtch Works. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $150,000.00/yr Job Title:
Machine Learning Engineer
Location:
Washington, D.C. (Hybrid - 2 days onsite)
About The Company
Our client is a global leader in AI-optimized scheduling and forecasting platforms, empowering and rewarding individuals in the fast-food and Quick Service Restaurant (QSR) industry through innovative solutions. The company fosters a dynamic startup environment, encouraging innovation, collaboration, and ownership.
Job Summary
The Machine Learning Engineer will design, train, deploy, and monitor machine learning models that address real-world customer needs. This role is central to scaling AI-powered scheduling and forecasting solutions. The position is based in Washington, DC, and reports to the Chief Analytics Officer.
Key Responsibilities
Build and test machine learning models to support their platform. Design, build, and deploy data and ML pipelines on AWS. Enable an iterative lifecycle for data products to improve, integrate, and deploy. Standardize workflows, analysis, and modeling for deployment and observability in production. Develop monitoring and observability systems for ML models and experiments. Collaborate across teams to align modeling with engineering standards.
Requirements
Education: Bachelor’s or Master’s degree in a quantitative field. Experience: 2–4 years of relevant experience. 4+ years’ experience with Python and ML frameworks. 1+ year of experience with MLOps and maintaining ML models at scale. Technical Skills: Strong knowledge and hands-on experience with: Python programming SQL and relational databases; ETL processes Cloud technologies (AWS, GCP, or Azure) Git or other version control systems Model versioning/tracking (DVC, MLFlow) ML pipeline development/deployment (Metaflow, Kubeflow, Prefect, Dagster) Containers (Docker, Kubernetes) Visualization and monitoring tools (Dash, Streamlit) Modeling/tuning/optimization with frameworks (sklearn, PyTorch)
Preferred Qualifications
Real-time inference deployment and monitoring (FastAPI, Ray Serve). CI/CD practices. Model deployment strategies (A/B testing, canary release). Cross-functional collaboration (DevOps, Data Engineering, Data Science). Time series analysis and predictive modeling.
Benefits
Salary range: $120-150K Health and Wellness: Industry-best benefits. Work-Life Balance: HYBRID – 2 days in office, 3 days from home.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Burtch Works by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Arlington, VA $140,000.00-$200,000.00 2 months ago Chantilly, VA $140,000.00-$175,000.00 2 months ago Annapolis Junction, MD $50,000.00-$120,000.00 1 year ago Machine Learning - Artificial Intelligence SME - ML, Innovation
McLean, VA $110,000.00-$180,000.00 1 week ago Chevy Chase, MD $80,000.00-$185,000.00 3 days ago Reston, VA $110,000.00-$125,000.00 1 month ago Washington DC-Baltimore Area $200,000.00-$225,000.00 4 days ago Reston, VA $87,975.00-$103,500.00 1 month ago Washington DC-Baltimore Area $130,000.00-$150,000.00 2 weeks ago Germantown, MD $110,000.00-$146,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Machine Learning Engineer
role at
Burtch Works Join to apply for the
Machine Learning Engineer
role at
Burtch Works This range is provided by Burtch Works. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$120,000.00/yr - $150,000.00/yr Job Title:
Machine Learning Engineer
Location:
Washington, D.C. (Hybrid - 2 days onsite)
About The Company
Our client is a global leader in AI-optimized scheduling and forecasting platforms, empowering and rewarding individuals in the fast-food and Quick Service Restaurant (QSR) industry through innovative solutions. The company fosters a dynamic startup environment, encouraging innovation, collaboration, and ownership.
Job Summary
The Machine Learning Engineer will design, train, deploy, and monitor machine learning models that address real-world customer needs. This role is central to scaling AI-powered scheduling and forecasting solutions. The position is based in Washington, DC, and reports to the Chief Analytics Officer.
Key Responsibilities
Build and test machine learning models to support their platform. Design, build, and deploy data and ML pipelines on AWS. Enable an iterative lifecycle for data products to improve, integrate, and deploy. Standardize workflows, analysis, and modeling for deployment and observability in production. Develop monitoring and observability systems for ML models and experiments. Collaborate across teams to align modeling with engineering standards.
Requirements
Education: Bachelor’s or Master’s degree in a quantitative field. Experience: 2–4 years of relevant experience. 4+ years’ experience with Python and ML frameworks. 1+ year of experience with MLOps and maintaining ML models at scale. Technical Skills: Strong knowledge and hands-on experience with: Python programming SQL and relational databases; ETL processes Cloud technologies (AWS, GCP, or Azure) Git or other version control systems Model versioning/tracking (DVC, MLFlow) ML pipeline development/deployment (Metaflow, Kubeflow, Prefect, Dagster) Containers (Docker, Kubernetes) Visualization and monitoring tools (Dash, Streamlit) Modeling/tuning/optimization with frameworks (sklearn, PyTorch)
Preferred Qualifications
Real-time inference deployment and monitoring (FastAPI, Ray Serve). CI/CD practices. Model deployment strategies (A/B testing, canary release). Cross-functional collaboration (DevOps, Data Engineering, Data Science). Time series analysis and predictive modeling.
Benefits
Salary range: $120-150K Health and Wellness: Industry-best benefits. Work-Life Balance: HYBRID – 2 days in office, 3 days from home.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Burtch Works by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Arlington, VA $140,000.00-$200,000.00 2 months ago Chantilly, VA $140,000.00-$175,000.00 2 months ago Annapolis Junction, MD $50,000.00-$120,000.00 1 year ago Machine Learning - Artificial Intelligence SME - ML, Innovation
McLean, VA $110,000.00-$180,000.00 1 week ago Chevy Chase, MD $80,000.00-$185,000.00 3 days ago Reston, VA $110,000.00-$125,000.00 1 month ago Washington DC-Baltimore Area $200,000.00-$225,000.00 4 days ago Reston, VA $87,975.00-$103,500.00 1 month ago Washington DC-Baltimore Area $130,000.00-$150,000.00 2 weeks ago Germantown, MD $110,000.00-$146,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr