Machine Learning Engineer Jobs in Lancaster, CA (260)
Software Engineer (22052-1)
Algorithm Engineer
Clinical Laboratory Scientist (CLS)
Ontology Agentic Software Engineer
Computer Scientist - Telemetry Processing Lead
Skunk Works Data Scientist Senior Level 3
Supervisory Computer Scientist-Direct Hire Authority
Software Segment Lead - Staff Software Engineer
Software Engineer - Skunk Works - Level 4
Software Quality Engineer/ Prin Software Quality Engineer
Software Engineer - E2
VP of Industrial Software
Skunk Works Numerical Control Programmer Level 4
Data Scientist - Active Secret Clearance Required
Principal Software Engineer - Open Mission Systems
A/AI Machine Learning Engineering Mgr - L5
Field Commissioning Engineer
Field Commissioning Engineer
Field Commissioning Engineer
Integration & Assembly Manufacturing Engineer- Level 4
Founding GTM Lead
Assoc. Technician
Computational Materials Scientist for Machine-Learned Interatomic Potentials (MD/DFT)
Dimension Control Technician III
ADP Skunk Works - Manufacturing Engineer - Level 3- Secret Clearance
ADP Skunk Works - Manufacturing Engineer Staff - Level 4- Secret Clearance
ADP- Skunkworks- Manufacturing Engineer - Level 3
Adp- Skunkworks- Manufacturing Engineer - Level 3
Facilities Construction Capital Project Management - Level 2 / Level 3
Administrative Business Support
Machine Learning Engineer
Machine Learning Engineer
Systems / Machine Learning Engineer
Machine Learning Engineer Salary in Lancaster
Machine Learning Engineers working in Lancaster, CA make an average annual salary of $134K and a maximum annual salary of around $198K.
Job Description
Working as a Machine Learning Engineer in Lancaster, CA
There are 260 Machine Learning Engineer opportunities available in Lancaster, 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.
Machine Learning Engineer jobs near Lancaster, CA
Machine Learning Engineers in Lancaster, CA Resume Data
Average Experience for Machine Learning Engineers in Lancaster, CA
- More than 10 years: 62%
- 6-10 years: 23%
- 1-2 years: 8%
- 3-5 years: 8%
Educational Background for Machine Learning Engineers in Lancaster, CA
- Bachelors: 33%
- Diploma: 33%
- Doctorate: 17%
- Masters: 17%
Top Skill for Machine Learning Engineers in Lancaster, CA
- Mechanical knowledge: 29%
- Basic computer skills: 14%
- Mechanical skills: Monitoring: 14%
- Management & leadership skills: Planning & execution: 14%
- Supervisory skills: Interpersonal skills: 14%
- Verbal communication: 14%
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