Machine Learning Fellow
Fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United StatesContractJunior
Salary not disclosed
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Job Details
- Experience
- 1-3+ years of experience as a Machine Learning Engineer or Data Scientist
- Required Skills
- AWSDockerPythonMachine LearningPyTorchData scienceTensorflowDeep LearningLangChain
Requirements
- PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
- 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
- Strong proficiency in Python.
- Strong proficiency in modern ML frameworks (PyTorch, TensorFlow).
- Experience with cloud infrastructure (AWS) is a plus.
- Experience with MLOps tools (Docker, Langchain) is a plus.
- Detail-oriented mindset.
- Innovative thinker.
- Passion in applied AI research.
- Commitment to collaboration.
Responsibilities
- Engage in high-impact projects with our partnered AI labs and platforms.
- Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models.
- Evaluate complex ML code and AI-generated implementations for efficiency and correctness.
- Advise on GPU optimization, scaling, and trade-offs.
- Become part of a supportive, interdisciplinary network of innovators and thought leaders.
- Collaborate with Scale’s research team to co-author technical reports and research papers.
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