Software Engineer 2 at Toast

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Kotlin, PySpark, Scikit-learn, TensorFlow, PyTorch, AWS, SageMaker, MLOps, CI/CD, Apache Airflow, Microservices, Object-Oriented Design, ML Pipelines, Agentic AI

Industry

Software Development

Description

Now, more than ever, the Toast team is committed to our customers. We’re 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 we’ll 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 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 an Machine Learning Engineer II, you will work with a team of machine learning engineers, data scientists, partner engineering team and product managers to build machine learning pipelines and deploy models for product lines. About this Roll*: Collaborate with machine learning engineers and data scientists to design and build scalable ML and agentic AI pipelines, develop APIs, and implement microservices with a strong focus on latency, reliability, and performance Drive engineering excellence by enforcing best practices in version control, code reviews, testing, and documentation, contributing to a high-quality and maintainable codebase Stay up to date with emerging tools, technologies, and best practices across ML engineering and cloud infrastructure, and actively contribute to continuous improvement within the team Monitor, debug, and optimize model performance and production infrastructure, ensuring robustness, scalability, and efficiency Contribute effectively in an agile development environment, embracing iterative delivery, ownership, and continuous learning Partner closely with cross-functional stakeholders (product managers, engineers, and data teams) to deliver reliable, high-impact ML-powered products Do you have the right ingredients*? Basic Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) 2–5 years of industry experience building and deploying machine learning systems in production environments Technical Skills Strong programming skills in Python, Java/Kotlin, PySpark. Hands-on experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch Experience designing and deploying microservices-based architectures, preferably on AWS (e.g., SageMaker, DynamoDB, Athena, Glue, Iceberg) ML Engineering & Systems Hand on experience with MLOps best practices: CI/CD pipelines, version control (Git), testing (TDD), experiment tracking (MLflow), and workflow orchestration Experience with model deployment, orchestration (e.g., Apache Airflow), and scalable infrastructure, including efficient CPU/GPU utilization Solid understanding of end-to-end ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, and monitoring Software Engineering & Collaboration Strong foundation in software engineering principles, including object-oriented design, modularity, and maintainability Proven ability to work in cross-functional teams and communicate technical concepts effectively Bonus ingredients*: Experience in deploying agents into production. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The 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: https://careers.toasttab.com/locations-toast. Apply 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 candidateaccommodations@toasttab.com. ------ 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.

Responsibilities

Design and build scalable machine learning and agentic AI pipelines, APIs, and microservices with a focus on performance and reliability. Collaborate with cross-functional teams to deploy high-impact ML-powered products and maintain engineering excellence through best practices.