Lead ML Engineer

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.

• 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 and Aeron.

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 Bachelors 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
Bachelors or Masters degree in Computer Science Engineering or a related technical field.
Ideal candidates will have 12 to 15 years of professional experience in machine learning engineering or related fields demonstrating a strong track record of leadership and technical expertise. This extensive experience should include hands-on work with advanced algorithms successful project delivery and mentoring junior engineers.
Extensive hands-on experience building and deploying machine learning applications in production environments.
Proven track record of leading or driving engineering teams to successful project delivery.
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.
Strong programming skills with a focus on Rust and experience with high-performance messaging systems like Aeron.
Familiarity with fast data stores and distributed systems architecture.
Excellent communication and collaboration skills.
Ability to thrive in a fast-paced team-oriented environment.
Experience in the financial technology sector or with payment systems.
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 a new hire into this position is 215300.00 to 312300.00 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 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