Senior Full Stack Engineer

2 days ago

Toronto, Ontario, Canada Toast Full time
About Toast

We're a restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Job Summary

We're seeking a Senior Full Stack Engineer to join our AI team. As a senior engineer, you'll work with a team of machine learning engineers, data scientists, and product managers to build machine learning pipelines and deploy models for product lines.

Responsibilities
  • Develop robust machine learning model pipelines, architect and implement APIs, and create microservices focused on optimizing latency, availability, and overall performance.
  • Engage with technology partners to build, prototype, and validate scalable tools and applications.
  • Implement best practices for version control, code review, testing, and documentation.
  • Stay current with the latest tools, technologies, and best practices in machine learning engineering and cloud-based infrastructure.
  • Monitor, troubleshoot, and optimize the performance of machine learning models and related infrastructure.
  • Embrace agile development methodologies and uphold best practices.
  • Collaborate with cross-functional teams to ensure the delivery of superior quality products.
Requirements
  • Bachelor's degree in Computer Science or a related technical discipline.
  • Minimum of 4 years of industrial experience in software development.
  • Proficiency in Java programming language and knowledge of front-end technologies like HTML, CSS, JavaScript, and frameworks like React or Angular.
  • Experience with Java/Kotlin and Python.
  • Experience with microservice-based architecture and cloud platforms like AWS.
  • Experience in software engineering best practices and tools.
  • Profound knowledge of model deployment, orchestration, scaling, and managing CPU/GPU resources efficiently.
  • Exceptional problem-solving, analytical skills, and the ability to tackle complex problems.
  • Outstanding communication and interpersonal skills.
Bonus Requirements
  • Foundational knowledge in statistical concepts and deep learning algorithms.
  • Experience with generative AI from concept to production.
  • Experience in data engineering and programming frameworks like Spark and Ray.
Our Total Rewards Package

We strive to provide competitive compensation and benefits programs that help attract, retain, and motivate the best and brightest people in our industry.

Our total rewards package includes cash compensation, equity, and benefits.

Learn more about our benefits at https://www.toasttab.com/careers.

We are committed to creating an accessible and inclusive hiring process.

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