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The Opportunity:
We are looking for a versatile curious and energetic Senior Machine Learning Engineer to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we thrive on solving complex challenges on a global scale! As a Senior Machine Learning Engineer you will be an integral part of a multi-functional development team inventing designing building and testing products that reach a truly global customer base.
You will face big challenges and question the status quo changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.
The Work Itself:
The Senior ML Engineer as a part of our Generative AI team will play a multifaceted role in the design development and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework developing efficient inferencing algorithms and fine-tuning the LLM to cater to various applications.
This role will also involve leveraging various machine learning stacks to enhance system efficiency researching new techniques to advance our LLM applications and collaborating with cross-functional teams within the addition the engineer will be responsible for documenting processes and workflows and sharing insights with the team.
This position requires a solid understanding of AI and machine learning principles robust problem-solving skills and the ability to thrive in a fast-paced dynamic environment.
Essential Functions:
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
2 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters MBA JD MD or PhD)
Preferred Qualifications:
3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Exposure to leading-edge areas such as Machine Learning Big Data Distributed Systems or SRE.
Experience in at least one of the following: Python Golang Java or C/C
Familiarity with web service standards and related patterns (REST gRPC)
Experience implementing solutions for low-latency distributed services using open standard technologies.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $130700.00 to $184440.00 to per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
Full-time