Machine Learning Researcher (Remote)
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Key skills for this role
About the Role
A client of Hired is seeking a Machine Learning Researcher on a contractor basis to train and refine next-generation AI systems. The role involves leading research, designing deep learning algorithms, and collaborating with engineering teams.
Key Skills for This Role
Responsibilities
- Lead and conduct cutting edge research in machine learning and artificial intelligence domains
- Design, implement, and evaluate state of the art deep learning algorithms using frameworks such as TensorFlow
- Collaborate closely with engineering teams to translate research breakthroughs into scalable, production ready solutions
- Publish research findings in peer reviewed venues and contribute to the global AI/ML scholarly community
- Continuously monitor and integrate advancements from the research community
- Document methodologies, experiments, results, and insights clearly for both technical and non technical stakeholders
Requirements
- Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains
- Hands on experience with deep learning frameworks including TensorFlow, PyTorch, or equivalent
- Strong research acumen demonstrated through prior publications, technical reports, or contributions to open source projects in machine learning
- Ability to design and execute experiments, analyze results using statistical and qualitative methods
- Clear communication skills with experience translating technical concepts for diverse audiences
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contractor basis. This role involves contributing domain expertise to train and refine next generation AI systems through high quality, real world input.
Key Responsibilities
- Lead and conduct cutting edge research in machine learning and artificial intelligence domains
- Design, implement, and evaluate state of the art deep learning algorithms using frameworks such as TensorFlow and other relevant tools
- Collaborate closely with engineering teams to translate research breakthroughs into scalable, production ready solutions
- Publish research findings in peer reviewed venues and contribute actively to the global AI/ML scholarly community
- Continuously monitor and integrate advancements from the research community
- Document methodologies, experiments, results, and insights clearly for both technical and non technical stakeholders
Required Skills & Qualifications
- Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains
- Hands on experience with deep learning frameworks including TensorFlow, PyTorch, or equivalent
- Strong research acumen demonstrated through prior publications, technical reports, or contributions to open source projects
- Ability to design and execute experiments, analyze results using statistical and qualitative methods
- Clear communication skills with experience translating technical concepts for diverse audiences
- Familiarity with reinforcement learning environments, data annotation best practices, or human in the loop AI systems is a strong plus
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