Machine Learning Engineer
| Company | Reality Defender |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Junior, Mid Level |
Requirements
- Masters or PhD in Computer Science with specialization in machine learning/deep learning (ML/DL)
- 2+ years coding experience in Python; Strong programming skills required
- 2+ years industry experience with model training/finetuning in PyTorch
- Experience with automated testing and CI/CD concepts in machine learning workflow
- Strong foundation in machine learning and data science
- Good communication and inter-personal skills, comfortable with client-facing responsibilities
Responsibilities
- Train/finetune deep learning models in PyTorch on new datasets and per client requirements
- Model monitoring and quality assurance for deployed models
- ML workflow automation and continuous integration/continuous delivery (CI/CD) for client-facing models
- Adopt standard model optimization/compression methods for inference speed-up
- Implement model obfuscation and vulnerability checks
- Collaborate with both AI and Engineering teams for model/infrastructure needs and performance guidance
Preferred Qualifications
- [Preferred] Experience finetuning large foundation models, e.g. wav2vec, HuBERT for downstream classification