Machine Learning Researcher
- Role
- AI / ML
- Experience
- Mid
- Employment
- Full-time
- Company size
- Startup
Open to CN only. Set where you work from to check your eligibility.
No BS summary
ML researcher with 2+ years of hands-on research experience in ML, deep learning, AI, or a related field. Needs strong research-paper evaluation, experiment design, and fluent written/verbal English. Focus is generative AI and turning research gaps into practical directions for ML teams.
Core skills
Required languages
MACHINE LEARNING RESEARCHER
Location: Remote Employment Type: Full-Time Compensation: Competitive salary in USD depending on experience and expertise.
ABOUT IMAGINEART
ImagineArt is a fast-growing generative AI company building next-generation AI-powered creative tools. Our Machine Learning team is working on advancing generative AI and developing innovative models and technologies that push the boundaries of what is possible with AI.
We are looking for a Machine Learning Researcher who is deeply passionate about research, experimentation, and solving complex problems. This role is ideal for someone who doesn't just implement existing techniques but actively explores what is missing, what can be improved, and what should be built next.
THE ROLE
As an ML Researcher, you will work closely with our Machine Learning team to identify research opportunities, investigate emerging techniques, and explore new approaches that can improve our AI capabilities.
You will be expected to independently explore research areas, identify gaps in existing work, evaluate the latest developments in ML and generative AI, and translate your findings into actionable recommendations for our engineering and ML teams.
The ideal candidate is someone who enjoys asking "What hasn't been solved yet?", "How can we do this better?", and "What should we build next?"
WHAT YOU'LL DO
- Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
- Identify gaps, limitations, and opportunities in existing research and technologies.
- Stay up to date with the latest research papers, models, architectures, and techniques.
- Explore and evaluate new approaches that could improve our ML capabilities.
- Analyze existing research and determine how it can be applied to real-world products.
- Work closely with ML engineers and researchers to turn research ideas into practical solutions.
- Propose new ideas, experiments, and directions for the ML team.
- Design and conduct experiments to validate research hypotheses.
- Review and benchmark existing methods and models.
- Communicate research findings and technical recommendations clearly to the broader ML team.
- Help shape the technical and research roadmap by identifying promising areas for exploration.
- Contribute to building novel ML solutions rather than simply implementing established methods.
WHAT WE'RE LOOKING FOR
- 2+ years of hands-on research experience in Machine Learning, Deep Learning, Artificial Intelligence, or a closely related field.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Strong understanding of Machine Learning and Deep Learning fundamentals.
- Proven ability to conduct independent technical research and investigate complex problems.
- Strong ability to read, understand, and critically evaluate research papers.
- Experience identifying research gaps and proposing new approaches or solutions.
- Strong analytical and problem-solving skills.
- Ability to move from a research idea to experimentation and, where applicable, a practical implementation.
- Strong communication and technical writing skills.
- Fluent English communication skills, both written and verbal.
- A curious, highly analytical mindset with a genuine interest in exploring new ideas and pushing the boundaries of AI.
IDEAL CANDIDATE
You will be a strong fit if you:
- Think like a researcher and are naturally curious about how things work.
- Don't just follow existing solutions—you actively look for ways to improve or reinvent them.
- Can independently explore a new research problem and identify meaningful directions.
- Are comfortable working with ambiguity and open-ended research questions.
- Can identify what's missing in current ML approaches and explain what could be built to address those gaps.
- Have a strong interest in emerging areas of AI and Generative AI.
- Can collaborate effectively with ML engineers to turn research into real-world impact.
WHY JOIN IMAGINEART?
- Work closely with a highly ambitious Machine Learning team.
- Explore challenging problems in Generative AI and next-generation AI technologies.
- Have the opportunity to influence what the team builds and researches next.
- Work in a research-driven environment where new ideas and experimentation are encouraged.
- Collaborate with engineers and researchers on impactful AI products.
- Competitive compensation in USD.
- Fully remote opportunity with an international team.
What you'll do
- Conduct in-depth research into Machine Learning, Deep Learning, and Generative AI.
- Identify gaps, limitations, and opportunities in existing research and technologies.
- Stay up to date with the latest research papers, models, architectures, and techniques.
- Explore and evaluate new approaches that could improve ML capabilities.
- Analyze existing research and determine how it can be applied to real-world products.
- Work closely with ML engineers and researchers to turn research ideas into practical solutions.
- Propose new ideas, experiments, and directions for the ML team.
- Design and conduct experiments to validate research hypotheses.
- Review and benchmark existing methods and models.
- Communicate research findings and technical recommendations clearly to the broader ML team.
- Help shape the technical and research roadmap by identifying promising areas for exploration.
- Contribute to building novel ML solutions rather than simply implementing established methods.
- Work closely with the Machine Learning team to identify research opportunities, investigate emerging techniques, and explore new approaches that can improve AI capabilities.
- Independently explore research areas, identify gaps in existing work, evaluate the latest developments in ML and generative AI, and translate findings into actionable recommendations for engineering and ML teams.
What they require
- 2+ years of hands-on research experience in Machine Learning, Deep Learning, Artificial Intelligence, or a closely related field.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Strong understanding of Machine Learning and Deep Learning fundamentals.
- Proven ability to conduct independent technical research and investigate complex problems.
- Strong ability to read, understand, and critically evaluate research papers.
- Experience identifying research gaps and proposing new approaches or solutions.
- Strong analytical and problem-solving skills.
- Ability to move from a research idea to experimentation and, where applicable, a practical implementation.
- Strong communication and technical writing skills.
- A curious, highly analytical mindset with a genuine interest in exploring new ideas and pushing the boundaries of AI.
- Think like a researcher and are naturally curious about how things work.
- Don't just follow existing solutions; actively look for ways to improve or reinvent them.
- Can independently explore a new research problem and identify meaningful directions.
- Comfortable working with ambiguity and open-ended research questions.
- Can identify what's missing in current ML approaches and explain what could be built to address those gaps.
- Strong interest in emerging areas of AI and Generative AI.
- Can collaborate effectively with ML engineers to turn research into real-world impact.
Benefits
- Work closely with a highly ambitious Machine Learning team.
- Explore challenging problems in Generative AI and next-generation AI technologies.
- Opportunity to influence what the team builds and researches next.
- Work in a research-driven environment where new ideas and experimentation are encouraged.
- Collaborate with engineers and researchers on impactful AI products.
- Competitive compensation in USD.
- Fully remote opportunity with an international team.
Bootstrapped GenAI platform serving image and video generation at real scale, with Fortune 500 clients, $35M+ ARR, and high traffic.