Machine Learning Engineer – Globalization

🕒 6 days ago

🏄 California – Remote

🏄 California – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design and build scalable training and inference systems for LLMs • Optimize end-to-end training: data pipelines, distributed training, and mixed precision • Scale model training and inference into robust, performant systems integrated into Netflix workflows • Act as a technical thought leader for training and inference efficiency • Mentor and uplevel other engineers and scientists in large-scale ML systems

🎯 Requirements

• Extensive experience in ML engineering for large, production-grade systems using LLMs • Deep hands-on expertise in training optimization: high-throughput data loading, distributed training, GPU/accelerator optimization • Strong experience in inference optimization: KV cache design, batching, quantization • Proficient with PyTorch and solid software engineering fundamentals • Proven track record of leading ML initiatives and partnering with stakeholders • Exceptional communication and collaboration skills • Netflix culture resonates with you.

🏖️ Benefits

• 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 employees accrue 35 days annually for paid time off • Full-time salaried employees are immediately entitled to flexible time off