Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
Let’s start with some numbers:
H100 SXM: 504 (SuperPod)
H100 PCI: 128
A100 SMX: 120
CPU: 600K cores
SSD: 350pb
HDD:33pb
That is a lot of computing power, so why do we need it?
We’re building Yep, a search engine and LLM from the ground up. To do that at the highest possible level we’ve invested in all this hardware to the extent where our superpod alone reaches 20 PFlops in linpack, placing 30th among the supercomputers of the world… Yep, we mean business!
Let’s put that compute power to use!
What You’ll Do
Design, develop, and optimize ML models for diverse challenges, including:
Web-scale content understanding
Human-computer interaction
Large language model (LLM) pre-training and fine-tuning
Innovate through research: prototype and explore proof-of-concept solutions for emerging opportunities in machine learning.
Build and maintain efficient, scalable production systems to support a high-traffic ecosystem.
What We’re Looking For
Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Proven experience in designing and deploying production-grade ML solutions at scale.
Knowledge of web-scale systems and an interest in tackling big data challenges.
Ability to balance research-oriented work with the practicalities of engineering.
Who We Are
Ahrefs builds online SEO tools and creates free educational materials that help millions of website owners around the globe to get more traffic from search engines.
For over 10 years, Ahrefs has been crawling the web, storing and processing petabytes of data and fine-tuning a simple, intuitive user interface. It's now widely regarded as both a must-have tool for marketing professionals and a trusted friend to small business owners.
Ahrefs’ tools and features cover most essential SEO needs like competitor research, keyword research, website audits, rank tracking and much more.
The company was founded in 2010 by Dmytro Gerasimenko and is headquartered in Singapore.
What You'll Get
Competitive compensation package
Informal and thriving work atmosphere
First-class workplace equipment (hardware & tools)
Perks and fringe benefits
About the job
Machine Learning Engineer
To see similar active jobs please follow this link: Remote Development jobs
Let’s start with some numbers:
H100 SXM: 504 (SuperPod)
H100 PCI: 128
A100 SMX: 120
CPU: 600K cores
SSD: 350pb
HDD:33pb
That is a lot of computing power, so why do we need it?
We’re building Yep, a search engine and LLM from the ground up. To do that at the highest possible level we’ve invested in all this hardware to the extent where our superpod alone reaches 20 PFlops in linpack, placing 30th among the supercomputers of the world… Yep, we mean business!
Let’s put that compute power to use!
What You’ll Do
Design, develop, and optimize ML models for diverse challenges, including:
Web-scale content understanding
Human-computer interaction
Large language model (LLM) pre-training and fine-tuning
Innovate through research: prototype and explore proof-of-concept solutions for emerging opportunities in machine learning.
Build and maintain efficient, scalable production systems to support a high-traffic ecosystem.
What We’re Looking For
Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Proven experience in designing and deploying production-grade ML solutions at scale.
Knowledge of web-scale systems and an interest in tackling big data challenges.
Ability to balance research-oriented work with the practicalities of engineering.
Who We Are
Ahrefs builds online SEO tools and creates free educational materials that help millions of website owners around the globe to get more traffic from search engines.
For over 10 years, Ahrefs has been crawling the web, storing and processing petabytes of data and fine-tuning a simple, intuitive user interface. It's now widely regarded as both a must-have tool for marketing professionals and a trusted friend to small business owners.
Ahrefs’ tools and features cover most essential SEO needs like competitor research, keyword research, website audits, rank tracking and much more.
The company was founded in 2010 by Dmytro Gerasimenko and is headquartered in Singapore.
What You'll Get
Competitive compensation package
Informal and thriving work atmosphere
First-class workplace equipment (hardware & tools)
Perks and fringe benefits