About Us
We believe AI will fundamentally transform how people live and work. CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benefit from its potential.
Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems who holds multiple academic and industry research awards from Google, Amazon, Facebook, and VMware.
About the Position:
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.
Come join our team and contribute towards democratizing Machine Learning for the world.
This position is a Permanent, Full-Time Position. We operate in a Hybrid work environment that requires team members to be in the office 3 days a week. Our office address is located at 22 Adelaide Street West.
Responsibilities:
- 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
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
Nice to haves:
- 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.
Benefits & Perks
- An open and inclusive work environment
- Employee stock options
- Best-in-class medical and dental benefits
- Parental Leave top-up for 6 months
- Professional development budget
- Flexible vacation time to promote a healthy work-life blend
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
CentML strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.
Inclusiveness is core to our culture at CentML, and we strive to ensure you get the most from your interview experience. CentML makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.
Top Skills
What We Do
We offer an optimization platform for ML Training. Using our platform, you significantly save on your training costs for small and gigantic models.
