Software Engineer, CentML
Platform
Machine learning training platform
Open for applications
Machine learning training platform
21-100 employees
Open for applications
21-100 employees
Company mission
To pioneer novel technology to enhance computing efficiency, making AI accessible for innovation and to benefit the global community.
Role
Who you are
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Graduate degree with research experience is a plus
- Experience building large scale systems from scratch. Prior experience in container-based deployment systems like Kubernetes is a big plus
- Strong coding skills (in at least one of Python and C++)
- Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc
What the job involves
- We are seeking highly motivated and skilled systems engineers to join our team to help in developing the CentML platform that offers a cost effective infrastructure for serving and training large scale machine learning models
- Taking part in the design and development of the CentML platform
- Designing and building solutions for scheduling large scale ML training and inference workloads on GPU clusters over multiple CSPs
- Communicate with our product teams and define use cases, and develop methodology & benchmarks to evaluate different approaches
Otta's take
Sam Franklin
CEO of Otta
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.
Insights
Some candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Sep 2023
$26.8m
SEED
Jun 2022
$3.5m
SEED
Total funding: $30.3m
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
Founders
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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