High Scalability

MARCH 30, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! Learn how to train interviewers so everyone's on the same page. Who's Hiring?

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 17, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 105

Education Engineering Java Software Engineering 105

High Scalability

MARCH 3, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 114

Education Games Engineering Java 114

High Scalability

FEBRUARY 18, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 113

Education Games Engineering Java 113

High Scalability

FEBRUARY 9, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Learn how to train interviewers so everyone's on the same page. Apply here.

Education 108

Education Games Engineering Java 108

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.

Software Engineering 92

Software Engineering Engineering Software Software 92

DZone

FEBRUARY 27, 2021

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages.

Java 207

Java C++ Benchmarking Programming 207

Tasktop

MAY 23, 2019

The beginning of my experience as a Junior Software Engineer on one of Tasktop’s ‘Integrations Teams’ marked a definitive transition in the way I learned and practiced computer science and software development. I began my co-op term at Tasktop with two weeks of boot camp-style training.

Software Engineering 40

Software Engineering Engineering Software Software 40

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We will share how its design has evolved over the years and the lessons learned while building it. To understand Axion’s design, we need to know the various components that interact with it.

Storage 187

Storage Design Scalability Latency 187

O'Reilly

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. It leverages elasticity of the cloud by design?—?both

Open Source 232

Open Source AWS Infrastructure Energy 232

Dynatrace

JUNE 15, 2021

And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern software engineering and operations should make you feel. Our dynamic growth in engineering also made us invest in continuous training for new and existing hires.

AWS 189

AWS Traffic Architecture Azure 189

The Netflix TechBlog

DECEMBER 3, 2019

mainly because of mundane reasons related to software engineering. On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. It leverages elasticity of the cloud by design?—?both

Open Source 134

Open Source AWS Infrastructure Energy 134

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. The incremental processing solution (IPS) described here has been designed to address the above problems.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow. A large number of batch workflows run daily to serve various business needs.

Java 202

Java Scalability Traffic Architecture 202

Abhishek Tiwari

JULY 20, 2019

One thing stand-out to me is being intentional and practical about your engineering organisation design. First and foremost, being intentional about organisation design requires good and honest discussions about all possible option. Is it possible to draw inspiration from outside of software engineering?

Engineering 61

Engineering Retail Airlines Healthcare 61

The Netflix TechBlog

OCTOBER 16, 2019

Gutenberg allows browsing older versions of data for use cases such as debugging, rapid mitigation of data related incidents, and re-training of machine-learning models. This post is a high level overview of the design and architecture of Gutenberg. for example to train machine-learned models.

Cache 187

Cache Architecture Metrics Java 187

O'Reilly

JULY 20, 2021

But we, as technologists, have typically ignored our own expectations when designing and building those devices. If the devices aren’t designed with those expectations in mind, they’re destined for the landfill. When designing an experience, you need to consider the identity context and where the experience will take place.

Google 121

Google Games Technology Technology 121

The Morning Paper

APRIL 16, 2019

Enabling students to build running performant versions of all of those systems in the time available is one challenge. We would like students to consider the performance characteristics of their systems, and our tests check that their designs attain reasonable run-time performance. So DSLabs also uses model checking.

Systems 43

Systems Efficiency Testing Strategy 43

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Designing a survey inevitably entails making a spate of methodological trade-offs.

Cloud 141

Cloud Serverless AWS Architecture 141