Principal Engineer, Machine Learning Engineering

Are you a highly skilled and experienced engineer with a passion for machine learning? Do you thrive in a fast-paced environment and have a strong technical background? If so, we have an exciting opportunity for you to join our team at Qualcomm as a Principal Engineer in Machine Learning Engineering.In this role, you will be responsible for leading and driving the development of cutting-edge machine learning technologies for our next-generation products. You will work closely with cross-functional teams to design, develop, and implement innovative solutions to complex engineering problems.To excel in this role, you will need to have a strong understanding of machine learning algorithms and frameworks, along with a deep knowledge of software engineering principles. Additionally, you should possess excellent communication and leadership skills, as you will be leading a team of talented engineers.If you are looking for an opportunity to make a significant impact in the field of machine learning and work with some of the brightest minds in the industry, we encourage you to apply for this role. Join us at Qualcomm and be a part of shaping the future of technology.

1. Lead and drive the development of cutting-edge machine learning technologies for next-generation products.
2. Collaborate with cross-functional teams to design, develop, and implement innovative solutions to complex engineering problems.
3. Utilize strong technical background and understanding of machine learning algorithms and frameworks to provide guidance and direction to the team.
4. Stay up-to-date with industry advancements and trends in machine learning to continuously improve and enhance products.
5. Ensure high quality and efficient code by following software engineering principles.
6. Mentor and guide junior engineers in the team, helping them grow and develop their skills.
7. Communicate effectively with team members, management, and stakeholders to provide updates on project progress and address any concerns or issues.
8. Take ownership of project timelines and deliverables, ensuring they are met on time and within budget.
9. Identify and mitigate any risks or roadblocks that may impact the success of the project.
10. Provide technical leadership and guidance to the team, promoting a collaborative and innovative work environment.
11. Work closely with product management and other teams to understand customer needs and requirements, and translate them into technical solutions.
12. Conduct research and experiments to identify new machine learning techniques and approaches that can be applied to product development.
13. Troubleshoot and debug complex issues and provide timely resolutions.
14. Collaborate with other Principal Engineers to share knowledge and best practices, and drive continuous improvement in processes and methodologies.
15. Uphold company values and promote a culture of diversity and inclusion.

According to JobzMall, the average salary range for a Principal Engineer, Machine Learning Engineering in San Diego, CA, USA is $150,000-$200,000 per year. This can vary depending on factors such as experience, skills, and the specific company or industry the engineer is working in. Some top companies in San Diego that hire machine learning engineers include Qualcomm, Intuit, and Illumina.

Qualcomm Incorporated is an American multinational semiconductor and telecommunications equipment company that designs and markets wireless telecommunications products and services.