Salary
💰 $169,725 - $220,500 per year
Tech Stack
AirflowAWSAzureCloudNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- ABOUT US: ChowNow is one of the leading players in off-premise restaurant technology. As takeout becomes a vital revenue stream for independent restaurants, our platform helps owners focus on what they do best—serving great food—by offering solutions across the entire digital dining experience. From building branded websites and mobile apps, to powering online orders, managing menus, consolidating delivery, and running targeted marketing, we give restaurants the tools to grow on their own terms.
- We support over 20,000 restaurants across North America, helping process $1B+ in gross food sales while saving our partners over $700M in third-party commission fees. Through our white-label ordering solutions, a growing demand network (including Google, Yelp, Apple, and Snap), and a diner-friendly marketplace, we empower independent restaurants to own their customer relationships and avoid inflated pricing and fees charged by 3rd party delivery apps like Uber and Doordash.
- Founded in 2012, we’ve navigated rapid growth and transformation—from startup roots through the pandemic boom—and are now beginning an exciting new era under our CEO, Kanika Soni. As we evolve with new leadership and cutting-edge tools, we’re deepening our commitment to helping local restaurants thrive in the digital economy.
- About the Position:
- ChowNow’s Engineering Team has built a modern platform to enable restaurants to streamline their online ordering processes and create a strong digital brand. Our “quality product first” approach to engineering contributes to our success and brand recognition. We’ve reached the time when we need to grow and scale our engineering team to meet the demand of the many exciting new products and features on our roadmap.
- As the Senior AI/ML Engineer, you'll lead the design, development, and deployment of cutting-edge ML and Generative AI solutions in our customer-facing products. In this role, you'll be instrumental in building recommendation systems, generating insights and creating agentic workflows
- Reports to a Senior Engineering Manager; No Direct Reports
- This is a remote role based in the United States. Please note: ChowNow is not eligible to employ in every state and the recruiting team will confirm location and eligibility before moving past initial stages.
- WHAT WE LOVE ABOUT YOU:
- You put restaurants first. You deeply understand the importance of local restaurants and put them at the center of everything you do. You aim to help them not only survive but thrive.
- You celebrate diversity. You recognize that diversity and inclusivity matter. You’re committed to progress, which means everyone gets the support and resources they need, no matter who they are. You have an ability to listen to other team members' ideas and can thrive in an environment that embraces individuality. Everyone’s voice counts.
- You raise your hand. You consistently go above and beyond what is asked of you. You help your peers accomplish their tasks while also excelling at accomplishing your own. When you have a smart idea, you raise your hand and share it.
- You keep reaching. You set clear ambitious goals. You don’t allow yourself to become complacent with where you’re at and what you’ve done, so you seek out new opportunities and challenges.
- WHAT SUCCESS LOOKS LIKE:
Requirements
- You have at least 5 years of software engineering experience, including at least 2 years experience in building machine learning and AI applications
- Advanced proficiency in Python with deep knowledge of scikit-learn, pandas, numpy, TensorFlow, or PyTorch
- Proven experience with recommendation algorithms including collaborative filtering, content-based methods, and hybrid approaches
- Solid foundation in reinforcement learning principles and their application to agentic systems. Understanding of vector databases such as Pinecone, Weaviate or Chroma
- Knowledge of large language models, and prompt engineering techniques
- Expertise in feature engineering, data pipeline construction, and ensuring data quality for AI models
- Experience deploying and managing ML models in production environments with MLOps tools like MLflow, Kubeflow, or Airflow
- Cloud platform expertise with AWS SageMaker, Google AI Platform, or Azure Machine Learning
- Understanding of real-time data processing using messaging and streaming architectures
- You know how to partner with Product, Design, QA and other Engineering Leaders to build compelling AI product features in an Agile environment.
- You are a fan of rapid iteration and experimentation. You think about failures as a learning opportunity.
- You know how to capitalize on the diverse strengths of the people around you.
- You are a thoughtful mentor and leader who loves supporting your team and collaborating with others to achieve great things.
- You have a point of view but encourage and welcome critiques.
- You thrive in environments supporting your growth, and where you can support others.
- You are passionate with a contagious energy, encouraging those around you to pursue their goals