Staff Research Engineer - AI & Machine Learning
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source just now.
We have tracked this listing since 29 Sep 2026 (2 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India, Pakistan, Indonesia, Kenya, Nigeria, Turkey
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 2d ago · last seen just now
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for a Staff Research Engineer to advance research and practical innovation in frontier AI systems. You will investigate high-impact questions, design rigorous experiments, build research-grade prototypes and tooling, and collaborate across Research, Engineering, Product, and Operations teams.
The role focuses on areas including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and AI evaluation. You will help translate promising research ideas into scalable applications and improvements to AI products and systems.
SENIORITY: Staff level — 7+ years
Key Responsibilities
- Investigate the capabilities, limitations, and training methods of frontier AI systems.
- Formulate research questions that inform AI products, platforms, and technical strategy.
- Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
- Stay current with advances in machine learning and identify opportunities for meaningful technical contributions.
- Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
- Train, test, and evaluate models using modern AI and machine learning tools.
- Analyze experimental results and develop clear, evidence-based conclusions.
- Establish rigorous practices for data quality, reproducibility, experimental design, and evaluation.
- Iterate rapidly from research hypotheses to validated technical insights.
- Collaborate with Research, Engineering, Product, and Operations teams to translate findings into practical applications.
- Communicate technical findings to both specialized and cross-functional audiences.
- Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate.
- Mentor engineers and researchers and contribute to technical discussions and peer review.
Requirements
- Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical field.
- 7+ years of professional experience, including significant research engineering experience in machine learning or frontier AI systems.
- Strong foundations in machine learning and hands-on experience designing experiments, training models, evaluating models, or developing AI systems.
- Demonstrated research experience in at least one of the following:
- Synthetic or agentic data generation
- Reinforcement learning or post-training
- Model understanding
- AI evaluation
- AI benchmarks
- AI agents or tool-using systems
- Strong Python programming skills with the ability to implement, test, and iterate quickly in research environments.
- Experience with modern AI/ML frameworks, tooling, and research workflows.
- Strong scientific judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
- Excellent technical communication skills and ability to work independently across research and engineering teams.