Machine Learning Researcher (Remote)
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Key skills for this role
About the Role
Quik Hire Staffing seeks a Machine Learning Researcher on a contract basis to contribute domain expertise to train and refine AI systems. Requires domain expertise in finance, healthcare, or engineering, and hands-on experience with deep learning frameworks like TensorFlow or PyTorch.
Key Skills for This Role
Responsibilities
- Lead and conduct cutting edge research in machine learning and artificial intelligence domains to advance model capabilities and performance
- 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 with measurable impact
- Publish research findings in peer reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open source efforts
- Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation
- 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 or related areas
- Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes
- 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 to advance model capabilities and performance.
- 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 with measurable impact.
- Publish research findings in peer reviewed venues and contribute actively to the global AI/ML scholarly community through conferences and open source efforts.
- Continuously monitor and integrate advancements from the research community to maintain the team at the forefront of technological innovation.
- Document methodologies, experiments, results, and insights clearly for both technical and non technical stakeholders to support knowledge sharing and decision making.
Required Skills & Qualifications
- Domain expertise in a relevant field such as finance, healthcare, engineering, or other specialized domains, enabling high quality contributions to AI training and evaluation.
- Hands on experience with deep learning frameworks including TensorFlow, PyTorch, or equivalent, with proven ability to implement and optimize models.
- Strong research acumen demonstrated through prior publications, technical reports, or contributions to open source projects in machine learning or related areas.
- Ability to design and execute experiments, analyze results using statistical and qualitative methods, and iterate toward robust, reproducible outcomes.
- Clear communication skills with experience translating technical concepts for diverse audiences, including engineers, product teams, and external partners.
- Familiarity with reinforcement learning environments, data annotation best practices, or human in the loop AI systems is a strong plus.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in artificial intelligence, contributing directly to the development of frontier AI models used by labs and enterprises worldwide.
- It provides global exposure to cutting edge research environments and the chance to shape how AI systems learn and perform across critical domains.
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