Machine Learning Engineer Jobs in Richmond, VA (728)
Director, Software Engineer Finance Tech - (Remote Eligible)
Senior Director, Data Science - Head of Fair Lending Analytics
Senior Director, Applied Research
Director, Software Engineering - Risk Tech
Director, Technical Program Management
Staff Machine Learning Engineer
Lead Machine Learning Engineer
Senior Lead Machine Learning Engineer
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
Full Stack Software Engineer
Senior Manager, Data Science - Model Risk Office
Senior Software Engineer - Machine Learning
Remote Machine Learning Engineer
Data Scientist
AI & GenAI Data Scientist-Director
AI Data Scientist
Software Engineer (Technical Leadership)
Senior Associate, Data Scientist - Corporate Strategy
Senior Data Scientist - Fleet Analytics
Autonomous Systems Software Engineer
Lead Software Engineer, DevOps
Junior/Entry Level Coder - Remote
Data Scientist
Staff Software Engineer, Solana Staking Protocol
Senior Data Scientist
Data Scientist
Staff ML Software Engineer
Entry-Level Java Developer (Spring Boot, Microservices, DevOps)/Data Scientist
Software Engineer II, Data Management
Data Scientist, Finance Digital Solutions
Lead Software Engineer (AWS, Golang, NodeJS)
Data Engineer, Product Analytics
Software Engineer II
Senior Lead 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 728 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.
Similar Jobs to Machine Learning Engineer
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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