Senior Large-Scale Model Research Scientist

ML Research Scientist - focused on retrieval / ranking etc.

Post-Training focused - however, we appreciate that great researchers often work at various levels of understanding across all stages.

This role will appeal to people with 2-8 years exp postgrad. This is LLm and ML Research Science. Not to be confused with Applied Research Science in narrow domains.

(Systematic Research Group | East Coast / USA)

Sentiro Partners is working with a frontier lab on a mission to define the future of AI in financial services. We’re building and aligning models that are trained under real constraints, not academic ones.

This role sits inside a focused, senior research group focused on how large models learn, not just how they perform on benchmarks. You will have direct ownership over training dynamics, optimization behavior, and failure modes of large-scale learning systems.

• This is not a product ML role.
• This is not post-hoc evaluation.
• This is not incremental fine-tuning work.

If your background is in frontier labs, advanced ML research, or deep systems-aware model training, this role is designed to feel familiar, likely more demanding.

You have likely published at top conferences, such as NeurIPS, ICML or ICLR.

What you’ll work on

• Designing and modifying training loops for large-scale models
• Studying learning dynamics, optimization behavior, and generalization
• Stress-testing models under distribution shift and adversarial conditions
• Building signals that distinguish real progress from benchmark overfitting
• Collaborating with researchers who care about first-principles understanding, not paper counts

What makes this different

• You own entire research threads, end to end
• You can change how models are trained, not just how they’re evaluated
• Feedback cycles are tight and unforgiving
• Success is defined by robustness and signal quality, not publications

Who this is for

You might be a fit if you’ve worked on:

• Large-scale model training or optimization etc.
• Reasoning, generalization, or learning dynamics
• Systems-aware ML (where infra and modeling meet)
• Frontier-lab research exposure

We are intentionally not optimizing for:

• Narrow domain specialists
• Pure infra engineers
• Product-driven ML roles

Environment

• Small, senior research team
• Deep technical autonomy
• In-office collaboration (East Coast)
• Compensation and resources competitive with top-tier research labs
• Unlimited compute
• World class reward packages and upside

Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.

Requirements

• Post-graduate degree in machine learning, computer science, an NLP adjacent discipline, or commercial experience developing novel machine learning algorithms.
• Research depth e.g. demonstrable experience in internships or employment in leading research labs or research environments

Location:

East Coast USA. This role is being advertised across the US. Full visa sponsorship will be provided for international talent.

About | Sentiro Partners | Leadership for the Augmentation Era

We scout the frontier to secure the transformational leaders, experts and mavericks who will define the future of the human & agentic workforce.

Providing Executive Search, Talent Augmentation & Embedded (fractional) Executive Search Services globally.

Sentiro Partners is a frontier search firm specializing in the intersection of advanced technology, data science, and quantitative research as applied to a breadth of industries. Operating internationally, we focus exclusively on identifying and embedding exceptional talent into frontier research environments; the organizations working on genuinely challenging problems that require both intellectual depth and world-class engineering & execution. We work with organizations with the highest barriers to entry.

W.: https://sentiropartners.com/frontierailabtalent

Need expert hiring support? E.: explore@sentiropartners.com