Machine Learning Engineer

United States Digital Space LLC; Toronto; On-site; CAD 120,000 - 154,000; Full time

Job summary

United States Digital Space LLC is seeking a Machine Learning Engineer in Toronto to lead data science product development. In this role, you will collaborate with various teams to deliver solutions optimizing inventory and fulfillment strategies.

The ideal candidate holds an MS or Ph.D. in a STEM field, has a strong portfolio in applied machine learning, and is proficient in Python. This position offers a dynamic, innovative work environment with a focus on creativity and diversity.

Qualifications

• Strong portfolio in applied machine learning/operations research.
• Ability to deal with ambiguity and lead design.
• Creative problem-solver passionate about open-ended problems.

Responsibilities

• Design and implement machine learning solutions.
• Collaborate with business teams to define metrics.
• Develop high-performance models using Python.

Skills

Applied machine learning

Operations research

Python programming

Advanced SQL querying

Shell scripting/Unix

Optimization solvers (Gurobi, CPLEX)

Heuristic and metaheuristic algorithms

Education

MS or Ph.D. in a STEM field or equivalent experience in Data Science

Job description

Why is this role important?

At the company, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.

As a Machine Learning Engineer on the GenAI team, you will lead the development of data science products that drive operational efficiency and customer satisfaction. Leveraging the wealth of operational data available, you’ll focus on delivering solutions that predict, forecast, and optimize how we manage our inventory operations and our fulfillment strategy.

Your work requires communicating with an array of business stakeholders across store operations, fulfillment software engineering teams, product management, and online analytics. From brainstorming on numerous options to solve a problem, through deploying the completed solution in a production environment, you will partner with colleagues who offer a diverse set of ideas that are all immensely valuable to our purpose and mission.

What You’ll Do

• Drive solutions: Design and implement applied machine learning/operations research approaches to solve business problems.
• Collaborate with business teams: Work closely with Product, Store Operations, Fulfillment Specialist, and Store & Area Managers to source data, establish requirements, and define success metrics.
• Code robust solutions: Develop high-performance Machine Learning/Operations Research models using Python programming, leveraging massive structured and unstructured datasets from various sources.
• Collaborate with Engineering and Data Platform teams: Work with these teams to build and deploy your Machine Learning/Operations Research models into production.
• Design experiments: Conduct experiments to measure the effectiveness of your product in driving a seamless fulfillment experience through key metrics such as labor rate, pick efficiency, orders ready on time, fill rate, etc.
• Document and share findings: Share results and findings with stakeholders in a structured manner and drive technical discussions with other Data Science teams.

Does This Sound Like You?

• MS or Ph.D. in a STEM field — or BSC plus equivalent work experience in Data Science or a closely related role
• Portfolio or strong interest in working in the domain of applied machine learning/operations research with a focus on predictive analytics, forecasting & supply chain optimization
• Ability to deal with ambiguity and take the lead in designing individual components within a larger technical solution architecture
• Creative, resourceful, and productive problem-solver with a passion for tackling dynamic, open-ended problems
• Comfortable working both independently and collaboratively
• Proficient in Python programming
• Experience with advanced SQL querying
• Experience in shell scripting/Unix
• Experience with optimization solvers such as Gurobi, CPLEX, OR Tools, Xpress
• Familiarity with developing and implementing heuristic and metaheuristic algorithms for large-scale optimization problems

How You’ll Succeed

At the company, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.

If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.

Looking for a challenge? Good. Love an innovative work environment? Even better.

Apply today.

Employment Type

Full time

They Prioritize Diversity

Our company recognises Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Hiring Range / Salary

H0: $120,000.00 - $154,000.00 / 120.000,00$ - $154.000,00$ (per year / per annum). A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position.