Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
About the role
- Senior Machine Learning Engineer at Zefr designing applications to process social media data. Implementing infrastructure for machine learning systems and utilizing state-of-the-art models.
Responsibilities
- Design and build large-scale applications and systems to acquire, process, and store multi-terabytes of social media data
- Implement infrastructure to support machine learning systems processing hundreds of millions of videos daily
- Work with state-of-the-art models, including large language models, to build sophisticated compound AI systems
- Stay updated with the ever-expanding field of Machine Learning Operations
Requirements
- Bachelor's or Master's degree in Computer Science or related field with 5+ years of professional experience in ML Engineering or MLOps
- Strong foundation in mathematics and statistics
- Deep expertise in ML model deployment, serving infrastructure, and production ML systems
- Hands-on experience with transformer architectures (e.g., BERT, ViT) for natural language and vision tasks
- Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data
- Experience with LLM models such as Gemini, GPT, Claude, Qwen, etc.
- Experience with ML experiment tracking, model versioning, and feature stores
- Strong understanding of CI/CD principles applied to ML workflows
- Experience optimizing model inference performance (ONNX, TensorRT, or similar)
- Openness to new technologies and creative solutions
Benefits
- Flexible PTO
- Medical, dental, and vision insurance with FSA options
- Company-paid life insurance
- Paid parental leave
- 401(k) with company match
- Professional development opportunities
- 14 paid holidays off
- Flexible hybrid work schedule
- “Summer Fridays” (shorter work days on select Fridays during the summertime)
- In-office lunches and lots of free food
- Optional in-person and virtual events (we like to celebrate!)
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