Note: The job is a remote job and is open to candidates in USA. Joy Network is a leading AI lab seeking a Machine Learning Engineer to join their cutting-edge GenAI team. The role involves designing robust ML and NLP problems, evaluating model performance, and collaborating with other experts to enhance AI model capabilities.
Responsibilities
- Task design and development: Design challenging, real-world ML and NLP problems drawn from your area of expertise (e.g., model training and evaluation, language understanding and generation, retrieval, applied ML pipelines) that target specific capability gaps in a frontier AI model
- Spec and golden-solution generation: Integrate the problems into an agentic development environment, preparing all necessary components using Python
- Evaluation and analysis: Evaluate the target model's performance on your tasks
- Headroom identification: Identify tasks where the target model fails, and classify the nature of the failure
- Collaborate with other experts: Work alongside fellow subject-matter experts to keep evaluations consistent and accurate
Skills
- Deep, hands-on experience in machine learning and/or natural language processing, from applied industry work, research, or a graduate/PhD background in the field
- Working proficiency in Python, applied in research, industry, or open-source work (not theoretical familiarity)
- Strong command of modern ML/NLP methods, including model training and evaluation, transformers and large language models, and standard tooling
- Ability to engage reliably for approximately 20 hours per week
- Strong written communication and the ability to work independently and manage your own time
- Past experience in AI training, model evaluation, or data annotation
Benefits
- This is a part-time W-2 employment position
- This role is fully remote within the United States
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