Senior Software Engineer, MLE
Senior Software Engineer, MLE
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Job Description
Now more than ever the Toast team is committed to our customers. Were taking steps to help restaurants navigate these unprecedented times with technology resources and community. Our focus is on building the restaurant platform that helps restaurants adapt take control and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants by restaurant people restaurants can trust that well deliver on their needs for today while investing in experiences that will power their restaurant of the future.
Bready* to make a change
Toast is looking for a senior Machine Learning Engineer to join the AI team. The ideal candidate has a solid track record in the product-oriented development and deployment of machine learning models. As a Senior Machine Learning Engineer you will work with a team of machine learning engineers data scientists and product managers to build machine learning pipelines and deploy models for product lines.
About this Roll*:
- Work with a team of machine learning engineers and data scientists to develop robust machine learning model pipelines architect and implement APIs and create microservices focused on optimizing latency availability and overall performance.
- Implement best practices for version control code review testing and documentation fostering a culture of high-quality software development
- Stay current with the latest tools technologies and best practices in machine learning engineering and cloud-based infrastructure and drive continuous improvement within the team
- Monitor troubleshoot and optimize the performance of machine learning models and related infrastructure
- Embrace agile development methodologies uphold best practices and seize ongoing learning opportunities.
- Engage in collaborative efforts with cross-functional teams including product managers and engineers to ensure the delivery of superior quality products.
Work Mode: This role follows a hybrid work model requiring a minimum of 2 days per week in the office.
Do you have the rightingredients*
- Bachelors degree in Computer Science a related technical discipline or equivalent hands-on experience.
- A minimum of 5 years of industrial experience in deploying machine learning models.
- Experience with the following languages (Java/Kotlin Pyspark Python Scala) and preferably ML frameworks (scikit-learn Tensorflow PyTorch)
- Experience with 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 MLflow
- 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.
- 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.
Bonus ingredients*:
- Ability to debug and resolve technical issues across the full stack is a plus.
- Experience in developing and building web applications using HTML CSS JavaScript and React is a plus.
- Experience in data engineering and programming frameworks such as Spark and Ray is a strong plus.
Diversity Equity and Inclusion is Baked into our Recipe for Success
At Toast our employees are our secret ingredientwhen they thrive we restaurant industry is one of the most diverse and we embrace that diversity with authenticity inclusivity respect and humility. By embedding these principles into our culture and design we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally check out: today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process please contact .
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For roles in the United States It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Required Experience:
Senior IC
Employment Type
Full Time
