About this opportunity
Cognizant lists this Machine Learning Infrastructure Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Staff Machine Learning Infrastructure Engineer
No Visa transfer/ sponsorship/ c2c available for this role
Job Type
Full-time
Department
ML Platform Engineering
10+ years of software engineering experience, with 5+ years focusing on ML infrastructure and GCP -- must have to be considered.
About the Role
As a Staff Machine Learning Infrastructure Engineer , you will architect and lead the technical vision for our ML platform initiatives, focusing on building scalable infrastructure that powers our ML capabilities. You will design and drive the evolution of our ML platforms, data systems, and serving infrastructure that enable teams to efficiently develop, deploy, and operate ML models at scale.
Key Responsibilities
Architect end-to-end ML infrastructure spanning data processing, feature management, and model serving
Design and lead implementation of next-generation ML platforms that support diverse ML workloads
Drive technical excellence in ML infrastructure through standardization and automation
Build scalable data processing systems and feature platforms that handle massive-scale ML workloads
Design robust ML serving architectures supporting both real-time and batch inference
Establish best practices for ML observability, monitoring, and operational excellence
Lead cross-functional technical initiatives and mentor platform engineers
Drive infrastructure decisions that impact the entire ML lifecycle
Technical Leadership
Define technical strategy and roadmap for ML infrastructure
Drive architectural decisions for complex ML systems
Lead design reviews and provide technical mentorship
Collaborate with data science teams to understand and address infrastructure needs
Establish standards for reliability, scalability, and performance
Build frameworks and platforms that accelerate ML development
Required Qualifications
10+ years of software engineering experience, with 5+ years focusing on ML infrastructure
Deep expertise in distributed systems and data processing at scale
Strong background in ML platform development and MLOps practices
Experience building production ML infrastructure supporting critical business applications
Proven track record of leading complex technical initiatives
Expert-level knowledge in: Large-scale data processing systems (Spark, Beam)
Feature store architectures and implementations
ML serving platforms and inference optimization (TorchServe, Tensorflow Serving and Triton)
Container orchestration and cloud platforms
Data pipeline design and optimization
ML system monitoring and observability
Technical Expertise
Data Infrastructure: Feature stores and feature computation systems
Data quality and validation frameworks
Dataset versioning and lineage tracking
Efficient data storage and access patterns
Serving Infrastructure: Model deployment and serving platforms
Inference optimization and scaling
Load balancing and traffic management
Model versioning and lifecycle management
Platform Development: MLOps tooling and automation
Experimentation platforms
Monitoring and observability systems
Resource management and optimization
Preferred Qualifications
Experience with GPU infrastructure and optimization
Background in high-performance computing
Contributions to open-source ML infrastructure projects
Experience with ML-specific security and compliance requirements
Master's degree in Computer Science or related field
Impact
Shape the technical direction of ML infrastructure across the organization
Drive innovation in ML platforms and tools
Mentor and grow the technical capabilities of the team
Establish architectural patterns and best practices
Enable rapid ML development and deployment at scale
Salary and Other Compensation
The annual salary for this position is between $140-155Kdepending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.