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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing infrastructure systems for machine learning workloads, with a strong focus on building scalable data management systems and high-performance inference systems. Proficient in collaborating with ML engineers to deploy advanced models and uphold rigorous standards for code quality and security.
Highest-signal resume keywords
Machine Learning Infrastructure DesignPython ProgrammingJava ProgrammingBig Data Processing FrameworksDistributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine Learning SystemsInfrastructure OptimizationFeature Generation PipelinesHigh-Performance Inference SystemsData Management SystemsAI Model ServingCode Correctness StandardsScalabilitySystem PerformanceEfficiency Improvements
Soft Skills
Problem-SolvingCollaborationAdaptabilityProactive Learning
Tools & Technologies
TensorFlowPyTorchCaffe2SparkFlinkRaySpark MLScikit-Learn
Industry Keywords
Cloud InfrastructureProduction SystemsAI ToolsMachine Learning WorkloadsData CollectionData LabelingData ProcessingModel TrainingModel EvaluationModel Inference
Tech Stack
Tools & technologiesCloudDistributed SystemsJavaPythonPyTorchRayScikit-LearnSparkTensorflow
About the role
Key responsibilities & impact- Design and optimize infrastructure systems for machine learning workloads at scale
- Drive reliability and efficiency improvements across Snapchat’s ML infrastructure
- Build and enhance feature generation and serving pipelines for online inference and offline training data generation
- Develop high-performance inference systems for fast and efficient AI model serving
- Build cloud infrastructure for scalable ML model training, evaluation, and inference
- Build data management systems for scalable data collection, labeling, processing, and evaluation
- Work closely with ML engineers to deploy cutting-edge models into production
- Use AI tools and high-velocity engineering workflows to design and ship scalable services
- Uphold rigorous standards for code correctness, security, and production-ready quality
Requirements
What you’ll need- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field plus 5+ years of post-graduate software development experience; or PhD in a relevant technical field plus 2+ years of post-graduate software development experience
- Experience building large-scale production machine learning systems, distributed systems, or big data processing
- Strong programming skills in Python and Java
- Strong problem-solving skills focused on system performance, scalability, and efficiency
- Good understanding of distributed systems and large-scale ML infrastructure components
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Proven track record of operating highly available systems at significant scale
- Preferred: Master’s/PhD in a technical field or equivalent industry experience
- Preferred: Experience with ML training platforms or optimizing AI model inference
- Familiarity with TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
- Ability to collaborate and work well with others
- Ability to proactively learn new concepts and apply them at work
- Adaptability in learning and applying evolving AI systems and tools
Benefits
Comp & perks- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages including equity in the form of RSUs
- Dynamic in-person collaboration through Snap’s “default together” approach