Software Engineer 1 - MLOps at Toast

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Structures, Algorithms, Java, Kotlin, Python, Microservices, SQL, No SQL, Statistical Concepts, Deep Learning, Problem Solving, Communication, Team Collaboration, Generative AI, Web Development

Industry

Software Development

Description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. 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 I 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 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 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. Do you have the right ingredients*? Bachelor's degree in Computer Science, a related technical discipline, or equivalent hands-on experience. Good in Data Structures and Algorithms and eager to learn and adopt new technologies wherever applicable A minimum of 1-2 years of industrial experience in deploying machine learning models or working on AI projects. Experience with the following languages (Java/Kotlin/Python) and preferably ML frameworks (scikit-learn, Tensorflow, PyTorch) Experience with microservice based architecture, SQL or No SQL DBs; Basic understanding of Data & AI platform tools such as mlflow,kafka/pulsar topics etc; Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable. Exceptional problem-solving 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. Experience or knowledge in Generative AI from concept to production or basic knowledge in Prompt Templates versioning, Lang Graph, Lang Chain, Lang Fuse, Deploying Agents, Agentic workflows on MCP Servers and Managing vector DBs. 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. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. 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

As a Machine Learning Engineer, you will work with a team to build machine learning pipelines and deploy models for product lines. You will also monitor, troubleshoot, and optimize the performance of machine learning models and related infrastructure.