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Research Engineer in Machine Learning - Colfax Research

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Colfax International, a Silicon Valley company with 28 years of experience in high-end computing systems, is growing its research team by opening a full-time position of Research Engineer in Machine Learning based in Sunnyvale, California, USA. We are looking for professionals with passion for parallel computing with emphasis on machine learning tasks to help us expand our activity in research, education and consulting on modern computing technologies. Colfax International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, veteran status, or any other category protected by law.


Machine Learning research Engineer ai-jobs.net

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The Advanced Robotics team is looking for a Machine Learning research engineer for a new and exciting project. As a member of our team you take part in developing an advanced robotics simulation software. The software you will be utilized to train ML models for different robotic skills such as vision, grasping,manipulation etc. In addition, you will be solving complex manufacturing industry problems using ML techniques. We are an equal opportunities employer and do not discriminate unlawfully on the grounds of age, disability, gender assignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation or trade union membership.



Machine Learning Market 2017-2022: Key Findings, Application Analysis, Top Players Profiles and Trends

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At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.


Artificial Intelligence/Machine Learning are rapidly changing. The materials research community is just beginning to utilize AI and ML in the research process, and it is already clear that this represents a potentially game changing development.

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Dr. Benji Maruyama is a Principal Materials Research Engineer in the Air Force Research Laboratory, Materials & Manufacturing Directorate. He is the Leader of the Flexible Materials and Processes Research Team, and leads research on the synthesis and processing science of carbon nanotubes. Dr. Maruyama created and is developing a new method research: Autonomous Research Systems for Materials Development. He is also the point of contact for carbon materials for the Materials and Manufacturing Directorate. His background and interests include carbon nanomaterials, energy storage, field emission, carbon, polymer and metal matrix composites, imaging of complex 3D microstructures and combinatorial experimentation.