About the Role:

We are looking for a staff machine learning engineer to join our merchant data platform data science and modeling team to help build the next generation AI powered merchant ecosystem.

In this role, you will help build data science solutions to enhance merchant data, discover insights, ensure data quality and power cross functional peers to unleash merchant data potential. You will also be guiding the direction of this team and help grow junior talents.

Essential Functions:

• MLE who has a good combination of science and engineering experiences (but machine learning / science experiences is more important than engineering experience)
• For science perspective, we would like this role to have hands on experience designing complex production level solutions (ideally with NLP / deep learning)
• For engineering experience, we look for someone who understands big data ecosystem and MLOps (production ML engineering).

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of    work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work   experience with a PhD experience.

Preferred Qualifications:
• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant
  experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of   relevant experience with a PhD
• Experience in MLOps and production machine learning systems at large scale
• Experience in Automation framework such as Airflow, Metaflow
• Relevant working experiences in modeling techniques such as logistic regression, Naive      Bayes, SVM, decision trees, natural language processing or neural networks
• Skilled in SQL, Python and basic libraries for machine learning such as scikit-learn and     Pandas, as well as Jupyter Notebook
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and Query Engines
• Knowledge on machine learning framework and concepts

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 144,600.00 to 209,700.00 USD 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 location. In 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.