Machine Learning Researcher (Remote)
Hire Feed · United States
- Hybrid
- Contract
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Intro email — drafted to reach them directly.
Job highlights
- Contribute domain expertise to AI model training.
- Design and implement deep learning algorithms.
- Collaborate with engineering on production solutions.
- Publish research and engage with AI community.
- Work remotely with a global AI leader.
About the role
Machine Learning Researcher (Remote)
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. The work directly shapes how models learn, reason, and perform across industries such as finance, healthcare, and engineering. Candidates need not have prior AI experience; domain knowledge is the primary value delivered.
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. The flexible remote structure enables top talent to contribute meaningfully while maintaining alignment with the organization’s mission to scale human expertise for AI advancement.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency:
- Machine Learning Researcher
- Artificial Intelligence
- Deep Learning
- TensorFlow
- PyTorch
- Research
- Algorithm Design
- Data Analysis
- Communication Skills
- AI Training
Skills & topics
- Machine Learning Researcher
- Artificial Intelligence
- Deep Learning
- TensorFlow
- PyTorch
- AI Research
- Machine Learning
- AI Training
- Data Science
- Remote
How to get hired
- Tailor your resume: Highlight domain expertise and AI/ML skills relevant to Machine Learning Researcher roles.
- Showcase research: Emphasize publications, technical reports, or open-source contributions in your application.
- Prepare for interviews: Be ready to discuss your experience with deep learning frameworks and experimental design.
- Highlight domain knowledge: Clearly articulate your expertise in finance, healthcare, or engineering for AI training.
- Demonstrate communication: Practice explaining complex technical concepts to diverse audiences.
Technical preparation
Master TensorFlow or PyTorch for model implementation.,Practice experimental design and data analysis.,Study reinforcement learning and human-in-the-loop AI.,Prepare to explain complex AI concepts clearly.
Behavioral questions
Describe a challenging research problem you solved.,How do you collaborate with engineering teams?,Explain a complex AI concept simply.,How do you stay updated on AI advancements?
Frequently asked questions
- What is the work arrangement for the Machine Learning Researcher role at Hire Feed?
- The Machine Learning Researcher position at Hire Feed is fully remote, allowing you to work from anywhere. This flexible structure is designed to enable top talent to contribute meaningfully while maintaining alignment with the organization’s mission.
- Do I need prior AI experience to apply for the Machine Learning Researcher position?
- No, prior AI experience is not strictly required. The primary value delivered for this Machine Learning Researcher role is strong domain knowledge in fields like finance, healthcare, or engineering, which will be used to train and refine AI systems.
- What deep learning frameworks are used for the Machine Learning Researcher job?
- The Machine Learning Researcher role requires hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent. Proficiency in implementing and optimizing models within these frameworks is essential.
- What kind of impact can I expect as a Machine Learning Researcher at Hire Feed?
- As a Machine Learning Researcher, you will contribute domain expertise to train and refine next-generation AI systems. Your work will directly shape how AI models learn and perform across critical industries like finance, healthcare, and engineering.
- How does Hire Feed ensure fair hiring for the Machine Learning Researcher role?
- Hire Feed is committed to equal opportunity. Applications for the Machine Learning Researcher position are reviewed solely on demonstrated technical ability and qualifications, regardless of background or prior employment history.