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Senior Machine Learning Engineer
Skills
Computer ScienceData ScienceLeadershipModelingParsingPersonal BoundariesStartups
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- PhD in Computer Science Machine Learning Computer Vision NLP or a related field
- 3+ years of hands-on experience in deep learning research and development
- Strong expertise in sequence-to-sequence models attention mechanisms and Transformer-based architectures
- Proven experience building and training custom models in PyTorch not using off-the-shelf models
- Track record in machine translation text generation speech-to-text OCR image captioning or related multimodal tasks
- Deep understanding of optimization regularization model scaling and distributed training
- Demonstrated ability to take models from research to production in a high-stakes environment
Nice to have
- Multimodal foundation models
- Advanced evaluation methods
- Published researcher
- Startup experience
- Mentoring experience
- Open-source contributor
Day to day
- Research, design, and implement custom deep learning models for OCR and multimodal document understanding tasks
- Build and train sequence-to-sequence and attention-based architectures for text recognition, translation, and generation tasks
- Lead development of multimodal language models that combine vision and text for real-world applications and production systems
Hiring process
- Apply using the link below