Machine Learning Engineer
Herndon, VA · On-site
They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems. Responsibilities : • ...
Machine Learning Engineer
Herndon, VA · On-site
They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems. Responsibilities : • ...
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Herndon, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Chantilly, VA · On-site
They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve business problems. Responsibilities : • Design ...
Machine Learning Engineer
Chantilly, VA · On-site
They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve business problems. Responsibilities : • Design ...
Machine Learning Engineer
Chantilly, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Quick apply
Machine Learning Engineer
Chantilly, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Chantilly, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
Machine Learning Engineer
Chantilly, VA · On-site
Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Transform machine learning ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
The Machine Learning Engineer will design, develop, and maintain the productionization of machine ... Evaluate pretrained models and software from vendors and support integration into production ...
Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... A variety of investment options are available, along with support from a personal financial planner.
Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... A variety of investment options are available, along with support from a personal financial planner.
Machine Learning Engineer
Mclean, VA · On-site +1
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Machine Learning Engineer
Mclean, VA · On-site +1
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... A variety of investment options are available, along with support from a personal financial planner.
Quick apply
Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... A variety of investment options are available, along with support from a personal financial planner.
Lead Software Engineer, Compiler
Arlington, VA · On-site
$120K - $170K/yr
Overview Sedaro is hiring a Lead Compiler Engineer to strengthen the performance and reliability of ... You are motivated by the opportunity to own a project from start to finish * You have a genuine ...
Lead Software Engineer, Compiler
Arlington, VA · On-site
$120K - $170K/yr
Overview Sedaro is hiring a Lead Compiler Engineer to strengthen the performance and reliability of ... You are motivated by the opportunity to own a project from start to finish * You have a genuine ...
Machine Learning Engineer
Chantilly, VA · On-site
Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Chantilly, VA · On-site
Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Chantilly, VA · On-site
Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Chantilly, VA · On-site
Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Tysons, VA · On-site
Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Tysons, VA · On-site
Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... A variety of investment options are available, along with support from a personal financial planner.
Quick apply
We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... A variety of investment options are available, along with support from a personal financial planner.
We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... A variety of investment options are available, along with support from a personal financial planner.
We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... A variety of investment options are available, along with support from a personal financial planner.
Salary: $120K-170K + Equity Overview Sedaro is hiring a Lead Compiler Engineer to strengthen the ... You are motivated by the opportunity to own a project from start to finish * You have a genuine ...
Quick apply
Salary: $120K-170K + Equity Overview Sedaro is hiring a Lead Compiler Engineer to strengthen the ... You are motivated by the opportunity to own a project from start to finish * You have a genuine ...
Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...
From Home Machine Learning Compiler Engineer information
What is the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?
| Aspect | From Home Machine Learning Compiler Engineer | From Home Data Scientist |
|---|---|---|
| Required Skills | Programming (C++, Python), compiler design, ML frameworks | Statistics, data analysis, programming (Python, R), visualization |
| Work Environment | Remote, software development teams, tech companies | Remote, analytics teams, research institutions |
| Industry Usage | Tech, AI, hardware optimization | Tech, finance, healthcare, research |
While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Virginia? The most popular types of Machine Learning Compiler Engineer jobs in Virginia are:
What are popular job titles related to From Home Machine Learning Compiler Engineer jobs in Virginia? For From Home Machine Learning Compiler Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in Virginia look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in Virginia are:
What cities in Virginia are hiring for From Home Machine Learning Compiler Engineer jobs? Cities in Virginia with the most From Home Machine Learning Compiler Engineer job openings:
Full-time
Posted 20 days ago
Job description
Job Summary:
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems.
Responsibilities:
• Design, develop, and implement machine learning models and algorithms to solve specific business problems.
• Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
• Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
• Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
• Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
• Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
• Troubleshoot and resolve issues related to machine learning models and pipelines.
• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
• Contribute to the development of best practices and standards for machine learning development and deployment within the team.
• Document machine learning models, experiments, and deployment processes.
• Potentially work with large datasets and big data technologies.
• Optimize machine learning models for performance and efficiency.
Qualifications:
Required:
• Master’s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
• Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
• Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
• Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction, deep learning architectures).
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
• Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
• Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
• Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.
Preferred:
• Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
• Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with building and deploying RESTful APIs.
• Familiarity with big data technologies and distributed computing.
• Experience with statistical modeling and inference.
Company:
Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in Herndon, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop, and implement machine learning models and algorithms to solve specific business problems.
Responsibilities:
• Design, develop, and implement machine learning models and algorithms to solve specific business problems.
• Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
• Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure.
• Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions.
• Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems.
• Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability.
• Monitor and maintain deployed models, ensuring their reliability and performance in production environments.
• Troubleshoot and resolve issues related to machine learning models and pipelines.
• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields.
• Contribute to the development of best practices and standards for machine learning development and deployment within the team.
• Document machine learning models, experiments, and deployment processes.
• Potentially work with large datasets and big data technologies.
• Optimize machine learning models for performance and efficiency.
Qualifications:
Required:
• Master’s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields.
• Demonstrated hands-on experience in developing and deploying machine learning models in a production environment.
• Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
• Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction, deep learning architectures).
• Experience with data preprocessing, feature engineering, and data visualization techniques.
• Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services.
• Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines.
• Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions.
• Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences.
Preferred:
• Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems.
• Experience with MLOps practices and tools for automating and monitoring machine learning workflows.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with building and deploying RESTful APIs.
• Familiarity with big data technologies and distributed computing.
• Experience with statistical modeling and inference.
Company:
Dark Wolf provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. Founded in 2009, the company is headquartered in Herndon, USA, with a team of 501-1000 employees. The company is currently Late Stage.