Company:Qualcomm Incorporated
Job Area:Information Technology Group, Information Technology Group > Data Science
General Summary:As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. The IT Data Scientist, Sr will be part of the team executing our AI strategy, designing and implementing advanced AI solutions to solve complex business challenges supporting multiple enterprise functions. This role involves developing and implementing solutions using generative AI, traditional data science algorithms, LLMs, CNNs and Vision Transformers while applying software engineering best practices. You will be at the forefront of delivering end-to-end GenAI solutions, collaborating with cross-functional teams to address their business needs.
This role requires full-time onsite work in San Diego, CA (5 days per week).Principal Duties and Responsibilities:
- Develop and implement GenAI, statistical models and machine learning algorithms to analyze diverse sources of data, ensuring they meet business requirements and are delivered on time.
- Use state-of-the-art methods to interpret and analyze data from multiple angles, identify patterns, trends, and insights.
- Present information using data visualization techniques to help stakeholders understand the significance of data insights.
- Build predictive models and machine-learning algorithms to forecast future trends and outcomes.
- Design and implement APIs for exposing data and models, ensuring they adhere to best practices in software engineering.
- Collaborate with developers, data scientists, and business teams to implement GenAI solutions.
- Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.
- Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.
- Applies Software knowledge and experience to design, develop, create, modify, and validate software, applications, and/or specialized utility programs.
- Participates in the design, coding for large features, unit testing, significant debugging fixes, and integration efforts to ensure projects are completed to specifications and schedules.
Minimum Qualification:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Software Engineering, Systems Engineering, or related work experience.
- Minimum of 2 years of experience in AI/ML technologies and 1 year of GenAI experience.
- Minimum of 2 years of strong experience in Application development using Python
- Proven track record of developing AI solutions and deploying to production environment.
- Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
- Expertise with at least one cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Proficiency in Python, SQL and NoSQL databases. Familiarity with LLMs (like Open AI models, Llama), AI agent frameworks (like LangChain, LangGraph, CrewAI, Microsoft AutoGen), machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn).
- Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
- Ability to thrive in a fast-paced and dynamic environment.
Preferred Qualifications:
- Advanced degree (MS) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or related quantitative field.
- Cloud Certified - Azure/AWS/Google Cloud Platform
- Strong debugging and analysis skills, for root causing complex issues.
- A minimum of 4 years of experience in data science, data analytics, or related field.
- Experience in designing and implementing solutions using LLMs, RAG, Vector databases, Sematic Search, Model fine-tuning.
- Strong knowledge of statistics and experience using statistical packages for analyzing datasets.
- Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNN, Vision Transformers and LLMs etc.
- Experience in designing and implementing APIs for data engineering and models training and deployment pipelines.
- Experience working within large global matrix organizations.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits: $56.23 - $84.35
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
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