Senior Software Engineer

1 week ago

Old Toronto, Ontario, Canada Toast Tab, Inc. Full time
About Toast Tab, Inc.

We are a leading provider of restaurant technology solutions, dedicated to helping restaurants adapt, take control, and excel in their industry.

Job Summary

We are seeking a highly skilled Senior Software Engineer to join our AI team. As a key member of our team, you will be responsible for developing and deploying machine learning models for end-to-end services, working closely with data scientists, product managers, and other engineers to build robust pipelines and deploy models for product lines.

Key Responsibilities
  • Design, develop, and deploy machine learning models and pipelines, ensuring high-quality software development and adherence to best practices.
  • Collaborate with cross-functional teams to architect and implement APIs, create microservices, and optimize latency, availability, and overall performance.
  • Engage with technology partners to build, prototype, and validate scalable tools and applications, ensuring seamless integration with our cloud-based infrastructure.
  • Implement and maintain best practices for version control, code review, testing, and documentation, fostering a culture of high-quality software development.
  • Stay up-to-date with the latest tools, technologies, and best practices in machine learning engineering and cloud-based infrastructure, driving continuous improvement within the team.
  • Monitor, troubleshoot, and optimize the performance of machine learning models and related infrastructure, ensuring optimal results.
  • Embody agile development methodologies, uphold best practices, and seize ongoing learning opportunities, driving team success.
Requirements
  • Bachelor's degree in Computer Science or a related technical discipline, or equivalent hands-on experience.
  • A minimum of 4 years of industrial experience in software development, with a strong focus on machine learning engineering.
  • Proficiency in Java programming language and familiarity with back-end frameworks like Spring or Java EE, experience with databases and SQL, understanding of web services and APIs, and familiarity with cloud platforms and DevOps practices.
  • Experience with Java/Kotlin and Python, as well as microservice-based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.).
  • Experience in software engineering best practices and tools, including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration.
  • Profound knowledge of model deployment, orchestration (Apache Airflow), scaling, and managing CPU/GPU resources efficiently.
  • Exceptional problem-solving, analytical skills, and the ability to tackle complex problems with a critical thinking approach.
  • Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
Preferred Qualifications
  • Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable.
  • Experience with generative AI from concept to production.
  • Experience in data engineering and programming frameworks such as Spark and Ray is a strong plus.
Compensation and Benefits

We offer a competitive compensation and benefits package, including a base salary range of $108,000 - $173,000 CAD, as well as cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. Our total rewards package is designed to attract, retain, and motivate the best and brightest talent in the industry.

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