Netflix

Company Name: Netflix
Job Title: Systems Development Engineer 5
Job Description: Job Title: Systems Development Engineer 5 Role Summary: Design, develop, and deploy scalable technical solutions for Netflix’s content creation businesses, improving efficiency and resiliency across multiple studios and regions. Expectations: Minimum 6 years of experience in complex system development, automation, and deployment; strong analytical, data‑driven decision making; ability to collaborate with cross‑functional teams and independently drive high‑impact initiatives. Key Responsibilities: - Design, implement, and support services that enhance creative content domains (post‑production, animation, VFX, genAI, virtual production). - Automate and develop solutions to improve system efficiency and resilience, considering hybrid environments. - Extend internal tooling and automation, including configuration management and service‑based infrastructure management. - Participate in system updates, migrations, on‑call rotation, and troubleshooting to maintain system resiliency and performance. - Lead hands‑on implementation of product plans and roadmaps developed with business and product teams. - Use data analytics and real‑time insights to guide strategic and operational decisions. Required Skills: - Expertise in designing, automating, and deploying complex technical systems. - Proficiency with configuration management across Linux, Windows, and macOS platforms. - Strong understanding of hardware‑to‑software architecture decomposition. - Passion for scaling solutions, automation, and operational excellence. - Effective communication and collaborative skills with business stakeholders. - Data‑driven decision‑making abilities. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Relevant certifications in systems engineering, DevOps, or configuration management are preferred but not mandatory. Nice to Have: Experience in VFX, animation, or similar creative services industries.

Los angeles, United states

On site

Mid level

09-03-2026

Company Name: Netflix
Job Title: Program Analyst, CS Workforce Management
Job Description: Job title: Program Analyst, CS Workforce Management Role Summary: Support the global Customer Service Workforce Management team by delivering data analysis, reporting, and project management to drive workforce planning, optimization, and operational excellence. Expectations: - Provide accurate, insightful analytics to inform business decisions. - Maintain timely, high‑quality reports and dashboards. - Collaborate cross‑functionally and communicate findings to stakeholders. - Manage project tasks and contribute to process improvements. Key Responsibilities: - Collect, validate, and analyze workforce data from internal and external sources. - Develop and distribute recurring reports and dashboards on staffing, forecast accuracy, schedule adherence, attrition, and productivity. - Monitor workforce metrics, investigate anomalies, and propose corrective actions. - Support the Program Manager in project tracking, status updates, and change management. - Facilitate implementation of new tools, processes, or methodologies. - Prepare clear, visually engaging presentations and reports for leadership. - Work with Operations, Finance, and other teams to gather data and align on objectives. - Identify and document opportunities to streamline and optimize processes; develop SOPs and best‑practice frameworks. Required Skills: - Strong analytical and critical‑thinking abilities. - Proficiency with data analysis tools (advanced Excel, SQL). - Experience with data visualization (Tableau, Power BI). - Advanced Microsoft Office (Excel, PowerPoint) skills. - Familiarity with project‑management and collaboration tools (Asana, Airtable). - Excellent written and verbal communication, with ability to translate complex findings to diverse audiences. - Detail orientation, organization, and time‑management to handle multiple projects. - Collaborative, proactive problem‑solving mindset. Required Education & Certifications: - Bachelor’s degree in Business, Mathematics, Statistics, Economics, Operations Research, or related field (or equivalent experience). - 1–3 years of experience in data analysis, business analysis, workforce management, or operations. No mandatory certifications, but knowledge of workforce management best practices is preferred.

Washington, United states

Remote

Fresher

09-03-2026

Company Name: Netflix
Job Title: Machine Learning Scientist (L4/L5) - Audio & Speech for Games
Job Description: **Job Title:** Machine Learning Scientist – Audio & Speech (Games) **Role Summary:** Design, develop, and integrate advanced speech and audio machine‑learning solutions for interactive gaming experiences. Lead model research, adaptation, and large‑scale training pipelines while balancing “build vs. buy” decisions to meet high‑quality production standards. **Expectations:** - Deliver production‑ready audio models that meet latency, quality, and cost targets. - Own end‑to‑end data curation and synthetic data generation for speech tasks. - Drive pragmatic innovation, selecting optimal external or internal solutions. - Collaborate closely with game‑studio R&D to align ML outputs with creative design goals. **Key Responsibilities:** - Evaluate, select, and integrate open‑source/commercial ASR, TTS, diarization, and VAD models. - Lead fine‑tuning and parameter‑efficient adaptation (e.g., LoRA/PEFT) of speech models for game‑specific needs. - Curate, clean, segment, label, and synthesize multimodal audio datasets. - Build and maintain distributed training pipelines for large‑scale speech model training. - Conduct performance benchmarking and iterative improvement cycles. - Provide technical guidance on “build vs. buy” trade‑offs and production impact. **Required Skills:** - Deep expertise in deep learning for speech/audio (ASR, TTS, diarization, VAD) using PyTorch. - Strong data‑centric skills: cleaning, curation, synthetic data creation. - Proficiency in Python; familiarity with C++ or Java is a plus. - Experience with parameter‑efficient fine‑tuning techniques (LoRA, PEFT). - Ability to design and operate distributed training/data pipelines. - Creative problem‑solving mindset for game‑related audio challenges. - (Bonus) Knowledge of multimodal audio‑visual models and real‑time DSP for game engines. **Required Education & Certifications:** - Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, or a related field with a focus on speech/audio processing. - Demonstrated research or industry track record building scalable speech/audio systems. - No specific certifications required; equivalent hands‑on experience acceptable.

Los gatos, United states

Remote

09-03-2026

Company Name: Netflix
Job Title: Software Engineer 5 - Ads CRM
Job Description: **Job title** Software Engineer 5 – Ads CRM **Role Summary** Build core AI/ML‑driven tooling to empower Netflix’s ad sales pipeline. Design, develop, and maintain scalable backend services and integrations with third‑party CRMs (Salesforce preferred) that deliver real‑time sales insights and automated workflows to accelerate revenue. **Expectations** - Lead architecture/design of data‑rich, campaign‑aware services. - Deliver production‑grade APIs, UI components, and integrations that support sales productivity, account foundations, and performance management. - Translate business requirements into reliable, maintainable code with strong testing, CI/CD, and DevOps practices. - Mentor and influence cross‑functional teams on best practices and emerging AI/ML techniques. **Key Responsibilities** - Design and implement distributed microservices (Java/Spring Boot, Node.js, etc.) for real‑time lead scoring, recommendation engines, and workflow automation. - Integrate with Salesforce and other sales/CRM platforms; customize workflows and data pipelines via APIs, GraphQL, and webhooks. - Build data pipelines using Kafka, NoSQL stores, and cloud services to ingest, transform, and serve advertising and sales metrics. - Apply AI/ML and generative AI models to sales processes—lead qualification, pitch selection, personalized content delivery. - Participate in code reviews, performance tuning, and reliability engineering (incident response, monitoring, SLOs). - Collaborate with UX, product, and data science teams to define feature scope and success metrics. **Required Skills** - 8+ years of full‑stack engineering experience; strong background in Java/Spring Boot, Node.js, React, and GraphQL. - Proven experience building SaaS tools and APIs that serve sales or marketing workflows; deep familiarity with Salesforce integration. - Expertise in distributed systems, microservices, Kafka, NoSQL databases (Cassandra, DynamoDB), and AWS cloud services. - Hands‑on knowledge of CI/CD pipelines, Docker/Kubernetes, and DevOps best practices. - Working knowledge of AI/ML and generative‑AI techniques applied to sales or customer‑engagement problems. - Strong database design, data modeling, and query optimization skills. - Excellent problem‑solving, communication, and collaboration abilities. **Required Education & Certifications** - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering, or related technical field. - Relevant certifications (e.g., AWS Certified Solutions Architect, Salesforce Developer) desirable but not mandatory.

New york, United states

On site

11-03-2026

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