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Full-Time

Machine Learning Engineer

Posted on 4/27/2024

Shakudo

Shakudo

11-50 employees

Cloud data platform with DevOps automation

Data & Analytics
Enterprise Software
AI & Machine Learning

Mid, Senior

Toronto, ON, Canada

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Tensorflow
Pytorch
Apache Spark
Requirements
  • Master's degree in Computer Science, Engineering, or a related field
  • Strong problem-solving skills and ability to adapt to new technologies quickly
  • 3+ years of experience in deep learning and strong track records of software engineering and cloud infrastructure
  • Experience with variety of data and ML stack. Examples includes DBT, Apache Spark, Airflow, Dagster, Apache Iceberg, PyTorch, Tensorflow, Huggingface and LangChain.
  • Security-first mindset. Track record of working at SOC-2 certified businesses.
  • Excellent communication, presentation, and relationship-building skills
  • Experience with documentation and content creation for technical audiences
  • Ability to work independently and as part of a team
Responsibilities
  • Work with customers on building data and machine learning applications with SOTA methods, ensure the successful outcomes of their projects that leverage stack components on Shakudo
  • Master new data and ML tooling and technology as they emerge and get integrated into Shakudo, and create compelling technical demos, documentation, tutorials to educate and engage our user community
  • Work closely with customer success teams to ensure customer satisfaction, conduct customer onboarding, address ongoing technical issues, develop strong relationships with customers and become their trusted technical advisor
  • Write engaging blog posts and, present at conferences, webinars, and other events to showcase our platform and drive awareness
  • Collaborate with the product and engineering team to relay customer feature requests and feedback into the product roadmap

Shakudo is a data management and optimization platform, specializing in ensuring seamless integration and compatibility across diverse data tools. The platform stands out for its cloud cost optimization and automating DevOps processes, which significantly enhance operational efficiency and scalability. With its focus on multi-GPU orchestration and automated configuration enforcement, this company is an excellent place for employees who wish to engage in cutting-edge cloud computing solutions and complex data handling in a collaborative and technically proficient environment.

Company Stage

Series A

Total Funding

$7.6M

Headquarters

Toronto, Canada

Founded

2021

Growth & Insights
Headcount

6 month growth

3%

1 year growth

36%

2 year growth

50%
INACTIVE