GenAI ML Engineer, Sr._

San Diego

**Company:**

Qualcomm Incorporated

**Job Area:**

Information Technology Group, Information Technology Group > IT Data Scientist

**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.

****Position requires to be onsite full time in San Diego**

**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.

· Develop and Maintain AI Pipelines: Ensure smooth operation of data and model training pipelines, and troubleshoot any issues that arise

· Tune and Optimize Models: Adjust and refine pre-existing generative AI models to enhance performance, adapt to new data, or meet specific project requirements.

· Use state-of-the-art methods to interpret and analyze data from multiple angles, identify patterns, trends, and 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 data scientists, data engineers and business teams to implement models.

· 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.

**Minimum Qualifications:**

· 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.

· Advanced skills in Generative Models: Knowledge of models, fine-tuning foundation models like GPT-4, and understanding their architecture, training processes, and applications

· Natural Language Processing (NLP): A strong understanding of NLP to work with text generation and analysis.

· 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 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/GCP

· 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.

· 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.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (ervice-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

**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:**

$52.55 - $78.83

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!

If you would like more information about this role, please contact Qualcomm Careers (ualcomm.com/contact/corporate) .

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