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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and optimizing large-scale machine learning systems, with strong programming skills in Python and Java. Proficient in distributed systems and big data processing frameworks, ensuring high availability and performance in model hosting and serving.
Highest-signal resume keywords
Machine Learning Systems DevelopmentPython ProgrammingJava ProgrammingBig Data Processing (Spark, Flink, Ray)Distributed Systems Infrastructure
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 LearningModel OptimizationReinforcement LearningInference OptimizationSystem Performance TuningLarge Scale Production SystemsModel HostingEmbedding GenerationLLM Fine-TuningDistributed Systems
Soft Skills
Problem-SolvingCollaborationAdaptabilityProactive Learning
Tools & Technologies
TensorFlowPyTorchCaffe2Spark MLScikit-learn
Industry Keywords
AI SystemsRecommendation ModelsAdvertising ModelsPersonalized ExperiencesInfrastructure Components
Tech Stack
Tools & technologiesDistributed SystemsJavaPythonPyTorchRayScikit-LearnSparkTensorflow
About the role
Key responsibilities & impact- Support models powering personalized experiences across Discover, Stories, Spotlight, and other Snap products with ranking needs
- Optimize, export, and prepare models for efficient production use across training and inference
- Own infrastructure for hosting and serving recommendation models, embedding-generation models, and self-hosted LLMs
- Work on LLM fine-tuning, reinforcement learning infrastructure, serving, and inference optimization
- Provide model-hosting and serving capabilities to teams across Ads, Content, Growth, Lenses, Security, My AI, and other product areas
- Own inference components powering advertising models
- Provide ranking and ML infrastructure for Camera, Creative Tools, Maps, Chat, Memories, Games, and Minis when model hosting or serving is required
Requirements
What you’ll need- Bachelor’s degree in a technical field such as computer science or equivalent experience
- 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
- 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 infrastructure components of large-scale ML
- Experience with big data processing frameworks such as Spark, Flink, or Ray
- Proven track record of operating highly-available systems at significant scale
- Preferred: Masters/PhD in a technical field such as computer science or equivalent industry experience
- Preferred: Experience working with ML Training platforms or optimizing AI model inference
- Preferred: Familiarity with ML frameworks such as 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