ML Researcher (remote)
Join Fundamental as an ML Researcher to tackle technical challenges in developing breakthrough Machine Learning models for enterprise decision-making.
Posted by employer 1 day ago
First seen on Joblaze 7 hours ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
- Contribute to ideation and design of Machine Learning models
- Implement and evaluate Machine Learning models
- Ensure models’ performance through novel architectures
- Establish evaluation protocols
- Develop and test new ideas in research code
Must have
- Strong familiarity with the full research cycle in Machine Learning
- Strong fundamentals of software engineering
- Strong knowledge of Python and its ML frameworks
- Experience with full lifecycle of AI model development
- Experience with ML infrastructure frameworks and tools
- Experience with GPUs or TPUs and distributed training
Nice to have
- Published research at AI conferences
- Contributions to open source ML projects
- Experience working with tabular data
- High Kaggle rank
- BSc/MSc/PhD in computer science/machine learning
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, seniority, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the ML Researcher at Fundamental will engage in the entire lifecycle of machine learning model development, focusing on ideation, design, implementation, and evaluation. The position requires strong expertise in Python and familiarity with ML frameworks, alongside a solid foundation in software engineering and experience with AI model infrastructure. This role is well-suited for individuals with a background in machine learning research, particularly those who have worked with tabular or structured data. Fundamental fosters a collaborative environment, emphasizing both innovative research and robust engineering practices.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on Fundamental's careers page October 7, 2026.
Quick facts
- Is the ML Researcher (remote) role remote?
- Yes — Fundamental lists this as a fully remote position.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Deep Learning, Large-scale foundation models, Machine Learning, Python, Relational foundation models.
- Is this full-time or contract?
- Full-time for this ML Researcher (remote) role at Fundamental.
From the original posting
Key responsibilities
As part of the Research team, you will contribute to ideation, designing, implementing, and evaluating breakthrough Machine Learning models that will be deployed in the real world. Your work will be focused on the entire lifecycle of the models. Alongside the rest of the ML researchers in the team, you will be responsible for our models’ performance in every meaning of this word - whether this means achieving high evaluation scores through novel architectures and training methods, establishing the evaluation protocols themselves, or implementing methods that allow for efficient training and inference. The greatest research is done through solid engineering, so alongside the research you will also take part in ensuring that our research code allows swift, rapid development and testing of new ideas - both your own and the rest of the team’s.
Must have
Strong familiarity with the full research cycle in Machine Learning
Strong fundamentals of software engineering
Strong knowledge of Python, and its ML frameworks
Experience with:
Full lifecycle of AI model development
ML infrastructure frameworks and tools
Developing new ML methods, algorithms and models
GPUs (or TPUs) and distributed training
Scaling up models and training regimes
Knowledge of:
Classical ML methods and algorithms
Deep Learning techniques
Expertise in at least one of the following:
Tabular models, time series models, relational foundation models, structured data, large-scale foundation models
Nice to have
Published research at AI conferences
Contributions to open source ML projects
Experience working with tabular data / predictive analytics
High Kaggle rank
BSc/MSc/PhD in computer science/machine learning
Benefits
Competitive compensation with salary and equity
Standard company text repeated across Fundamental's postings is omitted here.