Senior Solutions Engineer, CentML
EST, Time Zone
+ Employee stock options
Machine learning training platform
Job no longer available
Machine learning training platform
21-100 employees
Job no longer available
+ Employee stock options
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
- A minimum of 5 years in customer-facing technical roles, preferably involving direct interaction with data science and machine learning technologies
- Proven experience in building and deploying machine learning or AI models
- Effective collaboration with business stakeholders to align machine learning solutions with business objectives
- Excellent presentation skills, capable of engaging both technical practitioners and executive leaders
- Proficiency in at least one programming language
- A Bachelor’s degree in Computer Science, or a related field, or equivalent professional experience in software engineering
Desirable
- Experience running workloads on GPU
- Experience working with LLM’s
What the job involves
- As a Senior Solutions Engineer at CentML, you will play a pivotal role in interpreting and transforming customer needs into practical, effective solutions leveraging our products
- Your responsibilities will include collaborating closely with our co-founders, as well as our sales, product, and engineering teams, to develop and present value-driven evaluation scenarios
- These will encompass demonstrations, interactive labs, and proof of value (POV) exercises tailored to facilitate and secure business deals
- Your expertise will bridge the gap between customer requirements and our technological capabilities, ensuring a seamless alignment that drives sales success
- Engaging directly with customers to grasp their technical requirements at an architectural level and devising strategic solutions
- Providing insights and guidance on sales strategies and product development to our revenue leaders and executive team
- Implementing software solutions tailored to customer needs in both pre-sales and post-sales capacities
- Acting as a trusted AI advisor, you will support customers throughout the AI lifecycle—from strategy formulation and model building to deployment and management
- Developing and systematizing pre-sales processes, including the creation and maintenance of demo and proof of concept (POC) assets
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
$27.3m
SEED
Jun 2022
$3.5m
SEED
Total funding: $30.8m
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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