# AI Research Scientist (Europe/UK – Remote)

Remote from[Europe](https://jobicy.com/job-region/europe.md)Annual salary Undisclosed Salary information is not provided for this position.
Check our [Salary Directory](https://jobicy.com/salaries.md) to estimate the average compensation for similar roles.Department  [Data Science & Analytics](https://jobicy.com/categories/data-science.md) Employment type Full Time, Job posted22 Jun 2026Apply before22 Jul 2026Views / Applies 1784 / 85 [About company](https://jobicy.com/company/sword-health.md)

* Share About [SWORD Health](https://jobicy.com/company/sword-health.md)

Revolutionizing physical therapy with innovative digital solutions.

[Computer Software](https://jobicy.com/company-category/software.md)
*  2015

Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance.

###  AI Summary

Sword Health is seeking an AI Research Scientist to design and execute research on LLM fine-tuning, alignment, and post-training methods for clinical and therapeutic domains. The role involves developing foundational AI models, contributing to the full model development cycle, and collaborating across teams to translate research into production systems. Candidates should have a PhD in a relevant field, hands-on experience with LLMs, and a strong publication record. This remote position offers an opportunity to work on cutting-edge AI in healthcare, with a focus on long-term ambitious goals like clinical memory and safety validation.

### Role DNA

Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative

AI Insight This role requires a PhD, deep expertise in LLM fine-tuning and alignment, and a strong publication record, indicating a very high level of technical difficulty.

### Salary Analysis

Median  Market Rate  $180,000US Market $120k – 250k 0 $275k      AI Insight The salary range for this role is not specified in the job listing. Based on the US market, the median salary for a PhD-level AI Research Scientist is approximately $180,000 per year, with a typical range of $120,000 to $250,000 depending on experience and location.

### Core Skills Required

[Large Language Models](https://jobicy.com/jobs?search_keywords=Large+Language+Models.md) [Fine-tuning](https://jobicy.com/jobs?search_keywords=Finetuning.md) [RLHF](https://jobicy.com/jobs?search_keywords=RLHF.md) [SFT](https://jobicy.com/jobs?search_keywords=SFT.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md) [JAX](https://jobicy.com/jobs?search_keywords=JAX.md) [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [AI Research](https://jobicy.com/jobs?search_keywords=AI+Research.md) [Healthcare](https://jobicy.com/jobs?search_keywords=Healthcare.md)

### Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the AI Research Scientist position at Sword Health. With a PhD in Computer Science and extensive experience in fine-tuning large language models, I am excited about the opportunity to apply my skills to revolutionize healthcare through AI.

My research has focused on post-training methods such as SFT and RLHF, and I have a track record of publishing in top-tier AI conferences. I am particularly drawn to Sword's mission of building AI-native care programs that remove barriers to access.

I am confident that my technical expertise and collaborative mindset would contribute to Sword's ambitious goals. Thank you for considering my application.

Sincerely, [Your Name]

Copy

### Sample Interview Questions

Describe your experience with fine-tuning large language models using reinforcement learning from human feedback (RLHF).In my PhD research, I implemented RLHF to align a 7B parameter language model with clinical guidelines. I collected human feedback from medical professionals, trained a reward model, and used PPO to fine-tune the policy. The project improved factual accuracy in medical responses by 30%.How do you approach designing experiments to evaluate model performance in a new domain like healthcare?I start by defining key metrics such as accuracy, safety, and fairness. For healthcare, I also include domain-specific evaluations like clinical relevance and adherence to guidelines. I use a combination of automated benchmarks and human evaluation, ensuring rigorous statistical testing to validate results.Can you discuss a time when you collaborated with cross-functional teams to bring a research idea into production?During my internship at a leading AI lab, I worked with engineering and product teams to deploy a dialogue system for customer support. I handled model optimization and evaluation, while engineers integrated it into the platform. The system reduced response times by 40% and was well-received by users.What is your experience with multimodal learning, and how could it apply to healthcare AI?I have worked on vision-language models for medical imaging. For instance, I developed a model that combines chest X-rays with patient histories to generate diagnostic reports. This improves accuracy and provides explainable AI, which is crucial in clinical settings.How do you stay updated with the latest research in AI, and how do you decide which new approaches to adopt?I regularly read papers from top conferences like NeurIPS and ICML, and participate in online communities. I prioritize approaches that have strong theoretical foundations and empirical results. For new techniques, I run small-scale experiments to validate their potential before integrating them into larger projects.  At Sword, we’re building AI to heal billions and unlock humanity’s full potential. In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.
AI Proficiency at Sword HealthAI fluency is a core expectation at Sword Health. Every candidate is assessed against our three-level framework — be ready to share real examples of how AI is already part of how you work.

*

Explorer (Level 1) — Uses AI daily to boost personal productivity

*

Builder (Level 2) — Creates workflows and tools that elevate the whole team

*

Integrator (Level 3) — Embeds AI into products and processes at scale

Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role.

## What you’ll be doing:

* Design and execute research on LLM fine-tuning, alignment, and post-training methods (SFT, RLHF) tailored for clinical and therapeutic domains;
* Develop and improve foundational AI models that power our AI agents, spanning language, vision, speech, and multimodal systems;
* Contribute to the full model development cycle: dataset curation and annotation, architecture design, training, evaluation, and iteration;
* Collaborate across AI Engineering, Product, and Clinical teams to translate research breakthroughs into production systems that deliver patient care;
* Work towards long-term ambitious research goals, such as clinical memory, long-horizon planning, and safety validation, while identifying and delivering immediate milestones;
* Advance the field by publishing in top-tier AI venues and clinical journals, contributing to Sword’s growing body of peer-reviewed research.

## What you need to have:

* A PhD in Computer Science, Machine Learning, Natural Language Processing, or a closely related AI field;
* Hands-on experience fine-tuning large language models (pre-training, SFT, RLHF, or related post-training techniques);
* A strong publication track record in peer-reviewed AI conferences or journals;
* Proficiency in Python and deep experience with modern ML frameworks (e.g., PyTorch, JAX);
* Demonstrated ability to design rigorous experiments and interpret their results.

## What we would love to see:

* First-author publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, COLM, CVPR);
* Deep expertise in one or more of: large language models, reinforcement learning from human feedback, multimodal learning (vision, speech), or agentic AI systems;
* Experience building or contributing to LLM-based agents, including prompt engineering, memory orchestration, or agentic workflows;
* A track record of taking research ideas from conception to working systems, including developing and debugging complex ML pipelines;
* Industry experience during or after the PhD (e.g., research internships at leading AI labs);
* Comfort with ambiguity and a track record of delivering results in fast-moving, high-uncertainty environments where research and product development happen in parallel;
* Strong communication skills and a history of effective cross-functional collaboration;
* A broader record of research excellence demonstrated through grants, fellowships, patents, or impactful open-source contributions.

*This range includes base, variable and equity
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below. Portugal – Sword Benefits & Perks: • Health, dental and vision insurance• Meal allowance• Equity shares• Remote work allowance• Flexible working hours• Work from home• Discretionary vacation• Snacks and beverages Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status. Show more

[Apply now >](https://jobicy.com/jobs/147401-ai-research-scientist-europe-uk-remote.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

*

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