Principal AI Research Engineer, Redis
+ Equity
Real-time cloud-based data platform
Job no longer available
Real-time cloud-based data platform
501-1000 employees
Job no longer available
+ Equity
501-1000 employees
Company mission
To give innovators and entrepreneurs the data insights to achieve their business goals.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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)
Our take
Businesses have increasingly been taking advantage of AI systems to process the vast amont of data they hold and produce, but the rapidity and sheer volume of AI data requests puts a significant load on company infrastructure. Redis, a database-as-a-service provider, exists to ease this strain, managing databases for business-critical applications with its cloud-based data platform.
This isn't a new industry and Redis faces competition from mainstays of the sector such as Oracle and Microsoft. However Redis stands out with its speed, cutting the database response time to less than a millisecond, easily outstripping its competitors. Founded in 2011, it is now the most popular database on AWS and is used by around 25% of professional developers. It counts Microsoft, Plaid, FedEx and many other enterprise companies as customers.
Redis plans to expand into emerging markets and sees the adoption of cloud-native systems by the world's biggest companies as inevitable. It has forged partnerships with Amazon and Google and is growing through acquisition, for instance in its 2022 purchase of RESP.app which served part of its growing ecosystem.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 9 rounds)
Apr 2021
$110m
SERIES G
Aug 2020
$100m
SERIES F
Total funding: $357.3m
Company benefits
- Unlimited time off to promote a healthy work-life balance
- H/D/V coverage along with 401K, FSA, and Commuter Benefits
- Frequent team celebrations and recreation events
- Lunch stipends
- Home internet reimbursement
- Yearly health and wellness budget for a healthy mind and body
- Learning and development opportunities
- Ability to influence a high-performance company on its way to IPO
Company HQ
Mountain View, CA
Leadership
Yiftach Shoolman
(President)They were the founder, president and CTO of Crescendo Networks (acquired by F5), the vice president of software development at Native Networks (acquired by Alcatel) and part of the founding team at ECI Telecom broadband division.
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