Software Engineer, CentML
Profiler
$100-120k
Office located in 22 Adelaide Street West, Toronto
Machine learning training platform
Open for applications
Machine learning training platform
21-100 employees
Open for applications
$100-120k
Office located in 22 Adelaide Street West, Toronto
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
- Strong coding skills in Javascript, Python, and C/C++
- 3+ years of industry experience in software engineering
- Keen UI/UX sense and enjoy building products that our customers will love using on daily basis
- Experience with version control, unit test authoring, code review, and deployment strategies
- Experience working with teams, working on bigger products, or even startup experience
- Great verbal and written communication skills
Desirable
- Experience with machine learning products
- Industry experience in building enterprise-scale large distributed systems
- Exposure to performance modeling, profiling, debugging, and code optimization or architectural knowledge of CPU and GPU is a plus
What the job involves
- As a member of the Profiler team, you will help build Deepview our open-sourced tool that enables ML practitioners to identify performance bottlenecks and recommends the most cost/time-effective hardware option for their workloads
- Your expertise will drive the scalability, performance, and reliability of our offerings, enabling our customers to seamlessly access and utilize a comprehensive suite of ML services that we offer
- Build customer-facing applications
- Participate in discussions with a team to craft performant solutions that exceed modern standards for efficiency, scalability, accessibility, and security
- Own your work during all stages of our software development lifecycle from product and project requirements, architecture, and deployment into production environments
- Participate in code reviews, front-end design reviews, or technical reviews of product stories with in-depth yet constructive criticism; give and take feedback
- Be vocal about efficiency and quality for yourself and your team; obsess over practices like Unit Testing, Continuous Delivery, or Refactoring
- Ensure solutions meet customer and business needs - not just minimum defined requirements
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
Insights
Some candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Sep 2023
$26.5m
SEED
Jun 2022
$3.5m
SEED
Total funding: $30m
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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