Machine Learning Engineer

Description

The Company:

At Push Operations, we're all about simplifying workforce management for the hospitality industry, from restaurants and coffee shops to pubs and breweries. Our tools, like automated payroll, streamlined hiring & scheduling, real-time BI dashboards, and AI-powered insights, help businesses run smarter and serve customers better. We’re a spirited and collaborative team with a presence across North America and an office in Vancouver, BC, and we believe real impact comes when talented people can work flexibly, from anywhere.

The Role:

We’re looking for a Machine Learning Engineer to join our team. In this role, you will play a key part in training, testing, deploying and monitoring various machine learning models that will help our clients to make informed business decisions.

Location:

Recently the world has changed so we are changing with it. We’re embracing new ways of working and are constantly adapting our practices to ensure that wherever you are working from, you feel a part of the team and have everything you need to work comfortably. We are a remote-first company. Pushies can choose to work remotely or from our Downtown Vancouver office.

We are considering eligible candidates for this role from any location in Canada with a sufficient time zone overlap with our Vancouver team.

Responsibilities:

• Design, develop and deploy scalable machine learning pipelines/systemsfor various problems such as sales/labour forecasting, anomaly detection
• Identify and collect relevant data sources required for our projects
• Integrate with external data and AI APIs
• Own machine learning based features end to end, from model experimentation to the end user
• Communicate results with various stakeholders and be able to describe how projects can impact our clients
• Maintain high standards in our team by performing regular code reviews

Why Push?

• Do what you love! It’s the key to happiness. That’s why at Push we aim to create a supportive environment to help foster your passion for work, and keep you feeling energized and happy so you can do more of what you love.
• Grow yourself. We want to see you win in all areas. At Push, our mantra is: you will grow professionally and personally. We drive conversations around your personal and professional goals. Let’s crush it together.
• Make an impact. At Push, we believe everyone is born a genius, and our responsibility is to develop that genius within. Impact is our key metric - that’s why we challenge Pushies to show up as their authentic selves while creating a legacy.

Check out our About Us video: https://www.pushoperations.com/careers

Additional Information

At Push, we place value on different types of experiences. If your experience looks a little different from what we’ve listed but you think you’re a good fit, we would still love to hear from you.

We celebrate diversity and promote equal opportunity. We appreciate what makes each of our team members different and encourage you to apply, no matter who you are or how you identify.

Salary: $105,000 - $125,000 CAD annually

Requirements

Requirements:

• Masters Degree in a quantitative subject (e.g., Statistics, Data Science, Mathematics, Computer Science)
• 3+ years of experience working as part of a data science or data engineering team
• 5+ years of experience working in a software developer or adjacent role
• Strong background in data science/statistics including time series, regression/classification problems
• Curious, self motivated individual who enjoys solving complex problems and bringing value to customers
• Experience with SQL and ETL pipelines, and Data Warehouses (e.g, Snowflake, Redshift, or other)
• Expert communication skills while speaking to audiences with a range of backgrounds
• A passion for solving real-world problems with technology that makes a difference in people's lives

Bonus Skills and Qualifications:

• Experience with building scalable demand forecasting models/systems
• Experience working in a cloud/SaaS environment
• Jenkins and AWS Cloud Services, including Sagemaker
• Previous startup experience
• Familiarity with workforce management, HR compliance, or payroll systems