Machine Learning Engineer Jobs in San Diego, CA (443)
Machine Learning Engineer
Principal Engineer, Software
Software Engineer, Infrastructure
Staff Software Engineer - Front-End
Sr. Data Scientist, Minerva
Sr. Data Scientist, AWS Industries
Software Development Engineer (ML)
Data Scientist, Amazon Private Brands Intelligence - Sourcing Guidance
Sr Data Scientist, ProServe GenAI - Open Reqs
Senior Data Scientist, Molecular Modeling and Drug Discovery (Specialist Senior) - SFL Scientific
Sound Analysis Software Engineer
Lead Data Scientist, GPS (Government & Public Services)
AI Data Specialist
Software Engineer (AI/ML Interface Development)
Software Engineer - Applied ML - Headphone and Accessories Team
AI/ML Data Engineering Lead (Specialist Master) - SFL Scientific
Deloitte Consulting - Artificial Intelligence & Data Engineering Analyst
Jr. Applied Scientist
Senior Advanced AI Research Engineer
Advanced AI Research Engineer
AI Solution Architect
Applied Scientist, Private Brands Intelligence - Sourcing Guidance
Cellular PHY Layer1 Control Embedded Software Engineer
Software Engineer in Test, AppIntents Tools and Automation
Applied Scientist, AWS Industries
Data Science Program Manager - SFL Scientific
Applied Scientist I, Buyer Abuse Prevention
Applied Scientist, BRP (Buyer Risk Prevention)
Applied Scientist II, Inbound Forecasting
Applied Scientist II, Generative AI Innovation Center
Machine Learning Engineer
Compiler Engineer II - Machine Learning, Annapurna Labs
Sr. Compiler Engineer III - Machine Learning, Annapurna Labs
Machine Learning Engineer
Machine Learning Engineer Salary in San Diego
Machine Learning Engineers working in San Diego, CA make an average annual salary of $140K and a maximum annual salary of around $215K.
Job Description
Working as a Machine Learning Engineer in San Diego, CA
There are 443 Machine Learning Engineer opportunities available in San Diego, CA 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 San Diego, CA
Machine Learning Engineers in San Diego, CA Resume Data
Average Experience for Machine Learning Engineers in San Diego, CA
- More than 10 years: 36%
- 6-10 years: 28%
- 3-5 years: 21%
- 1-2 years: 11%
- Less than 1 year: 4%
Educational Background for Machine Learning Engineers in San Diego, CA
- Bachelors: 42%
- Masters: 41%
- Doctorate: 10%
- Diploma: 4%
- Associates: 2%
Top Skill for Machine Learning Engineers in San Diego, CA
- Analyzing data: 21%
- Attention to detail: 14%
- Basic computer skills: 10%
- Spreadsheets with Microsoft Excel: 10%
- Mechanical knowledge: 10%
- Customer focus & orientation: 8%
- Project timeline management: 8%
- Technical support: 8%
- Management & leadership skills: Planning & execution: 6%
- Sales skills: 6%
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