Match score not available

Principal AI Research Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United Kingdom

Offer summary

Qualifications:

Experience with machine learning models, Deep understanding of transformers and LLMs, Proficiency in Python and ML/NLP libraries, Experience with a low-level system language, Master's or PhD in relevant field.

Key responsabilities:

Optimize and fine-tune LLMs and embedding models
Develop tools around model orchestration
Design state-of-the-art algorithms for models
Investigate NLP issues based on customer use cases
Implement hardware-specific optimizations

Redis Computer Software / SaaS SME https://redis.com/

501 - 1000 Employees

See more Redis offers

Job description

Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?

Why would you love this job?

You will join our core AI team to research, design, and implement advancements in how companies run Large Language Models (LLMs) to optimize for relevance, latency, and privacy.

You will tackle complex challenges related to model optimization, fine-tuning, and tool development, impacting millions of users worldwide.

This is a unique opportunity to shape the future of AI in a hands-on research role.

What you’ll do:

Optimize and fine-tune LLMs or embedding models.
Develop and enhance tools and frameworks built around model orchestration.
Research, design, and implement state-of-the-art algorithms to optimize models at scale for latency and efficiency.
Investigate complex NLP problems driven by customer use cases.
Implement hardware-specific optimizations (e.g., GPUs, TPUs, CUDA).

What will you need to have?

Experience in designing and developing machine learning models, especially in natural language processing.
Deep understanding of transformer architecture, LLMs, and embedding models.
Strong proficiency in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
Experience with at least one low-level system language (c, c++, rust).
Experience with CUDA and high-performance computing.
Self-directed, ambitious, and eager to learn new skills and technologies.
Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Extra great if you have:

Publications or contributions to projects in AI/ML, NLP, or related areas.
Experience with large-scale distributed training and optimization techniques.
Contributions to open-source AI projects.

We give back to our employees:

Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our team members fantastic benefits and perks:

Competitive salaries and equity grants
25 vacation days per year (in addition to bank holidays) to promote a healthy work-life balance
Private health insurance and paid paternity leave
Flexible working options
Frequent team celebrations and recreation events
Home internet & phone stipend
Learning and development opportunities
Ability to influence a high-performance company on its way to IPO

#LI-CA2 #LI Remote

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.