Machine Learning EngineerCyberCoders • Carlsbad, CA, US
[error_messages.no_longer_accepting]
Machine Learning Engineer
CyberCoders • Carlsbad, CA, US
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
- [job_card.permanent]
[job_card.job_description]Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field Proven experience in machine learning and AI applications Strong programming skills in languages such as Python, C++, or Java Experience with embedded development and real-time operating systems (RTOS) Competitive base salary and overall compensation package Full benefits : Medical, Dental, Vision 401 (K) with generous company match Generous Paid time off (PTO) Vacation, sick, and paid holidays Life Insurance coverage Opportunity to work on cutting-edge technology projects For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 10 / 15 / 2025 and applications will be accepted on an ongoing basis until the position is filled or closed. CyberCoders is proud to be an Equal Opportunity Employer
Job Description
Job Description
Machine Learning Engineer
Title : On Device ML Engineer
Location : Carlsbad, CA (on-site)
Salary : $145,000-$170,000 (DOE) with full benefits
About Us : Founded in 1986, we are a global tech house that has the most advanced design, test & verification labs in the IT, Engineering and R&D space. We specialize in product development & innovation for IoT related project and due to growth & demand we have the need for a ML Engineer.
Position Overview
We are seeking a skilled On Device ML Engineer to join our innovative team. In this role, you will be responsible for developing and optimizing machine learning models that operate efficiently on consumer electronics and wearable devices. Your expertise in embedded systems will help drive the integration of AI capabilities directly on the device, enhancing user experiences through advanced performance and power management.
Key Responsibilities
- Design and implement machine learning algorithms for on-device applications
- Optimize existing ML models for performance and power efficiency on embedded systems
- Collaborate with cross-functional teams to integrate ML capabilities into consumer electronics and wearable devices
Qualifications
Benefits
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
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