机器学习研究员
ML Researcher
机器学习研究员
地点：远程
用工类型：全职
薪资：根据经验和专长提供具有竞争力的美元薪资
关于IMAGINEART
ImagineArt是一家快速发展的生成式AI公司，正在打造下一代AI驱动的创意工具。我们的机器学习团队致力于推进生成式AI，并开发创新的模型和技术，突破AI的可能边界。
我们正在寻找一位对研究、实验和解决复杂问题充满热情的机器学习研究员。这个职位适合那些不仅实现现有技术，还积极探索缺失之处、可以改进的地方以及下一步应该构建什么的人。
职位职责
作为机器学习研究员，你将与我们的机器学习团队紧密合作，识别研究机会，调查新兴技术，并探索可以提升我们AI能力的新方法。
你需要独立探索研究领域，识别现有工作的不足，评估最新的机器学习和生成式AI发展，并将你的发现转化为对工程和机器学习团队有实际意义的建议。
理想的候选人喜欢提出“还有哪些问题尚未解决？”、“我们如何做得更好？”以及“我们应该下一步构建什么？”这样的问题。
你将负责
- 深入研究机器学习、深度学习和生成式AI。
- 识别现有研究和技术中的差距、限制和机会。
- 跟踪最新研究论文、模型、架构和技术。
- 探索并评估可能提升我们机器学习能力的新方法。
- 分析现有研究，确定其在实际产品中的应用方式。
- 与机器学习工程师和研究人员密切合作，将研究想法转化为实际解决方案。
- 为机器学习团队提出新的想法、实验和方向。
- 设计并进行实验以验证研究假设。
- 审查和基准测试现有方法和模型。
- 清晰地向更广泛的机器学习团队传达研究发现和技术建议。
- 通过识别有前景的探索领域，帮助制定技术和研究路线图。
- 贡献于构建新颖的机器学习解决方案，而不仅仅是实现已有的方法。
我们寻找的候选人
- 在机器学习、深度学习领域有2年以上实际研究经验
查看英文原文
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.