Staff Machine Learning Engineer @ FIS | Jobright.ai
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Staff Machine Learning Engineer jobs in Seattle, WA
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FIS · 4 days ago

Staff Machine Learning Engineer

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BankingFinancial Services

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Responsibilities

Translate user and business needs into clean, maintainable, scalable, and well-documented code.
Define the technical strategy, scope, and execution plan for major workstreams or highly technical problems with long-term impact.
Unravel ambiguous technical challenges, making them tractable and leading them through to successful solutions.
Champion innovation and identify new technologies and solutions to move the platform forward.
Provide technical leadership and guidance to team members, fostering knowledge sharing and growth.
Collaborate with cross-functional partners to translate business needs into elegant, scalable, and secure technical architectures.
Influence design and planning decisions across multiple teams, even those with competing priorities.
Manage broad technical areas, requiring deep expertise and the ability to navigate complex relationships.
Participate in code reviews to ensure code quality, maintainability, security, scalability, and adherence to coding standards.
Provide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future prevention.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

JavaPythonGoArchitectural DesignTechnical ExcellenceCloud-Based Financial PlatformFintechDistributed SystemsDatabasesSecurityFront-EndProblem-SolvingLeadershipEngineering Team LeadershipTechnical Initiative LeadershipScaling TeamsCloud Platforms AWSCloud Platforms AzureCloud Platforms GCPVersion Control Systems (Git)DevOps Practices (CI/CD)Security Best PracticesMentoringCollaborationInnovationCommunicationInfluence

Required

At a minimum, a Bachelor's in CS or equivalent education, and 5 + years of relevant professional experience.
Proficiency in at least one modern development framework / language (e.g., Java, Python, Go).
Ability to analyze complex problems, identify root causes, and architect effective solutions.
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Expertise in at least one area relevant to our cloud-based financial platform (e.g., fintech, distributed systems, databases, security, or front-end).

Preferred

Typical qualifications for the role are 10 + years of relevant professional experience or a combination of work experience and advanced education.
A demonstrable ability to lead and mentor engineers, fostering a culture of collaboration and innovation.
A history of leading significant technical initiatives and delivering impactful results.
Experience in building and scaling high-performance engineering teams.
Experience with live on-call and 24/7 operation of production services.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Experience with cloud platforms (AWS, Azure, GCP).
Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD).
A strong understanding of security best practices for building enterprise applications.

Benefits

Opportunities to innovate in fintech
Tools for personal and professional growth
Inclusive and diverse work environment
Resources to invest in your community
Competitive salary and benefits

Company

FIS focuses on retail and institutional banking, payments, asset and wealth management, risk and compliance, and outsourcing solutions.

Funding

Current Stage
Public Company
Total Funding
$2.5B
2022-07-06Post Ipo Debt· $2.5B
2018-05-22Post Ipo Equity· Undisclosed
2001-06-29IPO· nyse:FIS

Leadership Team

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Douglas McAllister
CEO | FIS Automotive Market Partner
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Stephanie Ferris
Chief Executive Officer and President
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