Project Lead - AI
Keywords Studios$72,800 - $83,200/year
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, FinTech, TechnologyIndustries
Requirements
- 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
- 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, 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 (preferred)
- Familiarity with cloud computing platforms (preferred)
Responsibilities
- 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
- Drive architecture decisions and best practices for deploying machine learning models into production environments
- Collaborate with data scientists, engineers, and product managers to deliver robust AI-powered applications
- Ensure systems are monitored and maintained for performance, reliability, and security
- 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote or on-site?
This is a hybrid position with an on-site location type, and the expectation of days in office will be confirmed by your hiring manager.
What are the basic qualifications for this role?
The role requires 10 or more years of work experience with a Bachelor’s Degree, at least 8 years with an Advanced Degree (e.g., Masters/MBA/JD/MD), or at least 3 years with a PhD.
What key technical skills are required for the Lead AI Engineer position?
Required skills include strong programming in Rust, experience with Kubernetes and Nomad for container orchestration, and expertise in designing low latency, high throughput, and highly available systems.
What does Visa's company culture emphasize?
Visa emphasizes a purpose-driven culture to uplift everyone by being the best way to pay and be paid, with a focus on innovation, fast learning, and making big impacts in the payments and AI space.
What experience makes a strong candidate for this role?
Strong candidates have extensive hands-on experience building and deploying ML applications in production, a proven track record leading engineering teams with Generative AI, and experience with high-frequency trading or low-latency tech.
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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