Software Engineer, CentML

Tools & Infrastructure

Salary not provided

Python

Linux

Ruby

Jenkins

Prometheus

Grafana

Junior and Mid level

Toronto

Machine learning training platform

Job no longer available

Machine learning training platform

21-100 employees

B2CArtificial IntelligenceMachine LearningSaaS

Job no longer available

Salary not provided

Python

Linux

Ruby

Jenkins

Prometheus

Grafana

Junior and Mid level

Toronto

21-100 employees

B2CArtificial IntelligenceMachine LearningSaaS

Company mission

To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.

Job

Company

Role

Who you are

At least 2 years of experience in DevOps, MLOps, or similar engineering roles
Proficiency with CI/CD tools such as Jenkins, GitLab, Bitbucket, among others
Strong coding skills with proficiency in at least one programming language
Familiarity with monitoring tools like Prometheus, Grafana, or similar technologies
A Bachelor’s degree in Computer Science, a related field, or equivalent professional experience in software engineering

Desirable

Experience in high-performance computing (HPC), machine learning (ML), or deep learning (DL) systems, frameworks, or libraries
Practical experience in deploying and managing machine learning models or related ML/DL areas

What the job involves

Developing and improving CI/CD for CentML’s products
Automate different testing of our products: performance testing, functional testing, on-commit testing, nightly testing, etc
Improving and supporting our testing HW infrastructure

Our take

In an increasingly AI and ML-driven world, the demand for these technologies is skyrocketing, alongside their costs, leaving numerous companies without access to tools that could enhance their operations. CentML emerges as a solution, aiming to democratize AI and ML by making them more accessible and cost-effective for all.

Backed by a team with extensive expertise in AI, ML compilers, and ML hardware, CentML possesses a deep understanding of the inefficiencies prevalent in the industry. Among the challenges it addresses is the scarcity of AI chips. By meticulously analyzing clients' AI/ML requirements, CentML advises on suitable hardware options to optimize performance and minimize costs.

With its inception in 2022, CentML has swiftly garnered attention and funding, underscoring the market's appetite for its offerings. Recent funding will enable the company to further refine its product and conduct pivotal research in the field, solidifying its position as a pioneering force in democratizing AI and ML technologies.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Sep 2023

$26.6m

SEED

Jun 2022

$3.5m

SEED

Total funding: $30.1m

Company benefits

An open and inclusive culture and work environment
Fully stocked kitchen at the office
Full health and dental benefits
Parental Leave top-up for 6 months
Continuous education budget
Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask

Company HQ

Yonge-Bay Corridor, Toronto, ON

Leadership

Gennady Pekhimenko

(Co-Founder & CEO)

Also an Associate Professor at the University of Toronto, a Faculty Member at Vector Institute, and a Research Co-Chair at MLCommons.

Shang Wang

(Co-Founder & CTO)

Graduate Student Researcher at Vector Institute. Previously a Senior Software Engineer at Nvidia.

Akbar Nurlybayev

(Co-Founder & COO)

Prior work includes Director of Engineering (Data Platform) at KAR Global and Software Development Manager at TradeRev.

Anand Jayarajan

(Co-Founder)

Previously a Research Fellow at the Indian Institute of Technology, and a Software Development Engineer at Flipkart.

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