Machine Learning Engineer Jobs in Richmond, VA (186)
Lead Software Engineer, Full Stack
Senior Software Engineer
Lead Software Engineer
Full Stack Software Engineer, Manager
Lead Software Engineer, Back End
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer
Senior Manager Data Scientist
Senior Associate, Data Scientist - Enterprise Tech Analytics
Manager, Data Scientist, Generative AI Systems (Genesis)
Machine Learning Engineer
Machine Learning Engineer
Senior Manager Data Scientist
Senior Software Engineer
Full Stack Data Scientist
Senior Data Scientist - AI CoE
Data Scientist Expert
Principal Associate, Data Scientist - Card
Sr Associate, Data Scientist - Valuations
Senior Associate, Data Scientist - Enterprise Tech Analytics
Data Scientist - Product
Lead Data Scientist, GPS (Government & Public Services)
Technology Manager, AI & ML
Senior Software Engineer, Back End
AI Data Specialist
Lead Data Scientist , Clinical AI ( NLP , LLM , GenAI , GCP ) - Remote
AI Solution Architect
Lead Software Engineer, DevOps (Python, Kubernetes, Jenkins)
Sr. Data Scientist, Pricing Algorithms - Remote within 100 miles of Office Location
Senior Software Engineer
Senior Manager, Product Management, Cloud Reliability Platform
Manager, Data Science - Marketing and Valuations
Machine Learning Engineer
Machine Learning Engineer Salary in Richmond
Machine Learning Engineers working in Richmond, VA make an average annual salary of $133K and a maximum annual salary of around $204K.
Job Description
Working as a Machine Learning Engineer in Richmond, VA
There are 186 Machine Learning Engineer opportunities available in Richmond, VA all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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Machine Learning Engineer jobs near Richmond, VA
Machine Learning Engineers in Richmond, VA Resume Data
Average Experience for Machine Learning Engineers in Richmond, VA
- 6-10 years: 41%
- More than 10 years: 37%
- 3-5 years: 18%
- 1-2 years: 3%
- Less than 1 year: 1%
Educational Background for Machine Learning Engineers in Richmond, VA
- Masters: 48%
- Bachelors: 36%
- Doctorate: 9%
- Diploma: 4%
- Associates: 3%
Top Skill for Machine Learning Engineers in Richmond, VA
- Analyzing data: 27%
- Customer focus & orientation: 9%
- Attention to detail: 9%
- Work motivation: 9%
- Work style: Conscientiousness: 9%
- Work style: Reliability: 9%
- Technical support: 9%
- Warehouse safety: 9%
- Administrative assistant/receptionist: 5%
- Technical support: Customer situations: 5%
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