
Machine Learning Engineer - Generative AI
Are you passionate about pushing the boundaries of artificial intelligence and creating innovative solutions? Do you have a strong background in machine learning and a knack for developing cutting-edge algorithms? If so, we have an exciting opportunity for you to join our team at Qualcomm as a Machine Learning Engineer - Generative AI. In this role, you will have the opportunity to work with state-of-the-art technologies and collaborate with a team of talented individuals to develop generative AI models. We are looking for someone with a strong understanding of machine learning principles, coding skills, and a drive to continuously learn and improve. If you are ready to take on the challenge of creating ground-breaking AI solutions, we want to hear from you!
- Develop and implement cutting-edge machine learning algorithms to create generative AI models.
- Collaborate with a team of engineers and data scientists to design, test, and optimize AI solutions.
- Stay updated on the latest advancements and research in machine learning and incorporate them into our projects.
- Work closely with cross-functional teams to understand business needs and identify opportunities for implementing AI solutions.
- Design, build, and maintain scalable and efficient machine learning pipelines.
- Write clean, efficient, and well-documented code for machine learning models.
- Test and evaluate the performance of AI models and make necessary improvements.
- Communicate complex technical concepts and findings to non-technical stakeholders.
- Continuously learn and stay updated on emerging technologies and techniques in the field of machine learning.
- Proactively identify and troubleshoot issues with AI models and provide solutions.
- Ensure that all projects are completed within set timelines and adhere to quality standards.
Strong Background In Computer Science And Mathematics: A Machine Learning Engineer At Qualcomm Should Have A Solid Foundation In Computer Science And Mathematics, Including Knowledge Of Data Structures, Algorithms, And Statistics. This Will Be Essential For Developing Complex Generative Ai Models.
Experience In Machine Learning And Artificial Intelligence: Candidates Should Have A Deep Understanding Of Machine Learning Techniques And Artificial Intelligence Concepts, Including Neural Networks, Deep Learning, And Reinforcement Learning. They Should Also Have Hands-On Experience With Popular Ml Frameworks, Such As Tensorflow, Pytorch, Or Keras.
Proficiency In Programming Languages: A Machine Learning Engineer At Qualcomm Should Be Proficient In Programming Languages Such As Python, Java, Or C++, As These Are Commonly Used For Developing Ai Applications. They Should Also Be Familiar With Software Development Best Practices, Including Version Control And Testing.
Knowledge Of Generative Ai Techniques: Qualcomm Is Looking For Candidates Who Have Experience With Generative Ai Techniques, Such As Gans, Vaes, And Autoencoders. They Should Be Able To Apply These Techniques To Create Novel And Realistic Outputs For Various Applications.
Strong Problem-Solving And Analytical Skills: As A Machine Learning Engineer, You Will Be Responsible For Solving Complex Problems And Developing Innovative Solutions. Therefore, Candidates Should Have Excellent Problem-Solving And Analytical Skills, Along With The Ability To Think Critically And Creatively. They Should Also Have A Strong Attention To Detail And Be Able To Work Independently As Well As In A Team Environment.
Data Analysis
Deep Learning
Computer Vision
Tensorflow
Natural language processing
Algorithm development
Statistical modeling
Python programming
reinforcement learning
Neural Networks
Autonomous Systems
Image
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Machine Learning Engineer - Generative AI in San Diego, CA, USA is $115,000 - $165,000 per year. This can vary depending on experience, education, and the specific company and industry the engineer is working in.
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Qualcomm Incorporated is an American multinational semiconductor and telecommunications equipment company that designs and markets wireless telecommunications products and services.

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