How much does a Machine Learning Engineer make in Virginia? The average Machine Learning Engineer salary in Virginia is $105,699 as of March 26, 2024, but the range typically falls between $96,617 and $115,339. Salary ranges can vary widely depending on the city and many other important factors, including education, certifications, additional skills, the number of years you have spent in your profession.

Based on HR-reported data: a national average with a geographic differential
Machine Learning Engineer Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Machine Learning Engineer Salary $88,349 VA March 26, 2024
25th Percentile Machine Learning Engineer Salary $96,617 VA March 26, 2024
50th Percentile Machine Learning Engineer Salary $105,699 VA March 26, 2024
75th Percentile Machine Learning Engineer Salary $115,339 VA March 26, 2024
90th Percentile Machine Learning Engineer Salary $124,116 VA March 26, 2024
25% $96,617 10% $88,349 90% $124,116 75% $115,339 $105,699 50%(Median) Didn’t find job title? Click
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What is a Machine Learning Engineer ?

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where...

Source: Wikipedia (as of 04/25/2019). Read more from Wikipedia

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Location Avg. Salary Date Updated
Location Annandale, VA Avg. Salary $117,291 Date Updated March 26, 2024
Location Virginia State University, VA Avg. Salary $102,221 Date Updated March 26, 2024
Location Abingdon, VA Avg. Salary $91,999 Date Updated March 26, 2024
Location Accomac, VA Avg. Salary $99,587 Date Updated March 26, 2024
Location Achilles, VA Avg. Salary $99,587 Date Updated March 26, 2024
Location Afton, VA Avg. Salary $96,004 Date Updated March 26, 2024
Location Alberta, VA Avg. Salary $101,589 Date Updated March 26, 2024
Location Aldie, VA Avg. Salary $116,764 Date Updated March 26, 2024
Location Alexandria, VA Avg. Salary $117,291 Date Updated March 26, 2024
Location Altavista, VA Avg. Salary $96,320 Date Updated March 26, 2024
Job Openings for Machine Learning Engineer in Virginia
Imagry | Autonomous Driving - San Jose , CA
Imagry is seeking an experienced Machine\Deep Learning Engineer 4-5 years of experience in the Industry. On-Site in San Jose California! The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities: Designing, training, and optimizing novel computer vision algorithms. Taking an End-to End responsibility over medium to long-term projects Seeing projects through from research to deployment Devising and implementing performance metrics Supervising complex data pipelines, from the collection stage, through annotation, to training models Communicating, presenting and visualizing results Aligning the algorithms with the product needs
- 1 day ago
100% Remote position Our client, a Global Giant in Video Game Publishing and Distribution, is looking to engage a Senior ML Engineer (MLOps) with demonstrated professional experience operationalizing ML models built leveraging Databricks, to join a team that supports a variety of business-critical data-driven initiatives. In this role, you will be helping to support decisions that will contribute to the Company’s outstanding growth and market leadership. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Responsibilities: Hands-on experience operationalizing ML models that have been created by a Data Science team Professional experience leveraging MLFlow within MLOps is HIGHLY desired Working with Data scientists, design, develop and maintain pipelines that support the deployment of ML models and algorithms, monitors data drift an
- 2 days ago
Ascendion - Irving , TX
About Ascendion: · Ascendion is a full-service digital engineering solutions company. · We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. · Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. · Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. · Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: · Build the coolest tech for world’s leading brands · Solve complex problems – and learn new skills · Experience the power of transforming digital engineering for Fortune 500 clients · Master your craft with leading training programs and hands-on experience Experience a community of change makers! · Join a culture of h
- 3 days ago
System One Holdings, LLC - Dallas , TX
Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: denis.potapenko@systemone.com for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly. Machine Learning Engineer : - The hiring manager is NOT looking for a Data Scientist ! - ML Engineer will join Data Science Innovation (DSI) team and work on developing and implementing universal forecasting models, focusing on ML forecasting techniques using Python and Hadoop. - DSI application is a unique, ML-driven platform that incorporates over 100 financial metrics to create a Universal Forecasting Model. The application features a Marketplace concept UI with Subscriber/Contributor functionality for enhanced personalization and extensibility across the enterprise. - Collaborate with Data Scientists in an Agile SDLC environment to bring ML models into production - The ideal candidate ( MLOps ) w
- 3 days ago
Elsdon Consulting Ltd - Columbia , MD
Seasoned Machine Learning Engineer with an Active Secret Clearance and looking for a new role? We have the one for you! Are you a seasoned Machine Learning Engineer who wants to truly make an impact with the work they do? Maybe you're looking to escape a stagnant working environment, or you're looking to progress and continue to grow within your career working with cutting-edge tech. If that's you, look no further. I am working with a top organization seeking an experienced ML Engineer to join them. As the ideal candidate, you will be seasoned in all things Machine Learning and hold an active Secret Clearance. This is an excellent opportunity to be in a constant learning environment, with lucrative base salary, benefits, & bonus also on offer. As the successful candidate, you and your team will be responsible for the entire lifecycle of machine learning models, from managing and deploying them to troubleshooting any pipeline issues that arise. As the successful candidate, you will: Man
- 3 days ago
FORDER I.T. - New York , NY
We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data. Responsibilities: Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions. Assemble modules into end-to-end systems, ensuring seamless integration and functionality. Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation. Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning. Qualifications: Strong knowledge of software engineering princip
- 4 days ago

Career Path for this job

  1. Down a level:

    Software Engineer II

    2 - 4 years experience
    Bachelor's Degree

  2. This Job:

    Machine Learning Engineer

    4 - 7 years experience
    Bachelor's Degree

  3. Up a level:

    Software Engineer IV

    7 + years experience
    Bachelor's Degree

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