채용
Benefits & Perks
•Parental leave program
•Wellness benefits
•Annual team offsites
•Top Tier compensation with equity
Required Skills
Python
TensorFlow
PyTorch
Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud-native platforms, VAIaS automates the updates to data, models, and applications. Combined with strong AI governance, VAIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you!
Essential Functions:
-
Lead and mentor a team of engineers focused on developing advanced AI and machine learning solutions.
-
Design, implement, and optimize low latency and high throughput systems that are highly available and scalable.
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Drive architecture decisions and best practices for deploying machine learning models into production environments.
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Collaborate with data scientists, engineers, and product managers to deliver robust AI-powered applications.
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Ensure systems are monitored and maintained for performance, reliability, and security.
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Utilize orchestration tools such as Kubernetes and Nomad for container management and deployment.
-
Work with fast data stores and high-performance messaging systems, including Rust.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD.
Preferred Qualifications:
- Extensive hands-on experience building and deploying machine learning applications in production environments.
- Strong programming skills with a focus on Rust and experience with high frequency trading, level low latency communication technology.
- Proven track record of leading or driving engineering teams to successful project delivery with Generative AI.
- Solid understanding of system design for low latency, high throughput, and highly available applications.
- Experience with container orchestration tools such as Kubernetes and Nomad.
- Expertise in monitoring and maintaining production systems for reliability and performance.
- Familiarity with fast data stores and distributed systems architecture.
- Knowledge of additional orchestration and monitoring tools.
- Contributions to open-source projects or published work in machine learning or distributed systems.
- Familiarity with cloud computing platforms.
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 this position is $215,300 to $344,600 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.
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About Visa
Reviews
2.0
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.3
10%
Recommend to a Friend
Pros
Active recruiting for senior positions
Work authorization support for spouses
Opportunity to seek external roles
Cons
Toxic work environment
Below-market compensation offers
Poor management and leadership
Salary Ranges
23 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
1 reports
$106,195
total / year
Base
$92,300
Stock
-
Bonus
-
$106,195
$106,195
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
News & Buzz
Visa Inc. Earnings Call Highlights Durable Growth Momentum - TipRanks
Source: TipRanks
News
·
5w ago
Sen. Katie Boyd Britt Buys Visa Inc. (NYSE:V) Stock - MarketBeat
Source: MarketBeat
News
·
5w ago
Piper Sandler Updates Its Outlook on Visa (V) Shares - Finviz
Source: Finviz
News
·
5w ago
Visa doles out stablecoin advice - Payments Dive
Source: Payments Dive
News
·
5w ago
