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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing user-centric platform solutions for machine learning, with strong skills in Python and familiarity with ML lifecycle processes. Engages effectively with the ML community and contributes to open-source projects to enhance platform capabilities.
Highest-signal resume keywords
Python DevelopmentMachine Learning Lifecycle UnderstandingPlatform Solutions DevelopmentML Workflow Orchestration ToolsOpen-Source Contributions
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build the user interface layer for Netflix’s AI Platform
- Accelerate the core loop of model creation, evaluation, experimentation, and deployment
- Gather requirements, design, and implement products that accelerate model development for different ML use cases
- Work alongside applied researchers and data scientists on machine learning initiatives
- Engage with the ML community to gather feedback, identify pain points, and evolve the platform
- Develop expertise across the full machine learning lifecycle
- Contribute to open-source projects
Requirements
What you’ll need- Experience developing platform solutions such as SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, with a user-first approach and strong user empathy
- Excellent software design and development skills in Python along with one of Scala, Java, or C++
- Experience working on or alongside modern, large-scale ML services
- Understanding of the full ML lifecycle from data and features to training, experiment tracking, and production deployment
- Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure; ideally tools such as Metaflow, Airflow, Kubeflow, MLflow, or similar
- Broad understanding of core machine learning concepts and their application in large-scale, real-world ML systems
- 5+ years of full-time software engineering or machine learning experience with a bachelor’s and master’s degree; or PhD degree
- Preferred but not required: experience building machine learning models or LLMs
- Preferred but not required: experience designing or building agentic systems
- Preferred but not required: experience working with public clouds, especially AWS
- Preferred but not required: significant contributions to open-source projects
Benefits
Comp & perks- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off
- Opportunities to contribute to open-source projects
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonScalaJavaC++Machine LearningSoftware DesignExperiment TrackingFeature/Data InfrastructureSDK DevelopmentDeveloper Frameworks
Soft Skills
User EmpathyCollaborationCommunication
Tools & Technologies
MetaflowAirflowKubeflowMLflowAWS
Certifications & Qualifications
Bachelor's DegreeMaster's DegreePhD Degree
Industry Keywords
Machine Learning ServicesReal-World ML SystemsAgentic Systems