Machine Learning Lead

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: (Not provided in the description)

SweedPos is seeking a Machine Learning Lead to join our remote team and help scale and optimize our all-in-one cannabis retail platform. We are a product-driven startup focused on providing a comprehensive solution for cannabis retailers, combining POS, eCommerce, Marketing, Analytics, and Inventory Management.

About Us

At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform eliminates the need for multiple third-party tools, offering simplicity, efficiency, and innovation. We believe in scalability and performance, making life easier for cannabis retailers while driving business growth. We believe in the medicinal potential of cannabis and are committed to transforming the industry.

Where We Are Now

We’ve been on the market for 7 years, continuously growing and refining our product. Our focus is on earning customer trust through improved delivery processes and new features, while navigating the complex legal landscape of the cannabis industry.

Team Structure

• Development Team: Distributed globally, organized into cross-functional product teams of 8-12 members (front-end, back-end, QA, analysts).
• Leadership: Team Leads and Product Owners guide each team.
• Executive Team: CEO, Account Managers, and Customer Success team based in the USA.

Why This Role Matters

As the ML Lead, you’ll drive the strategy, architecture, and execution of our ML initiatives, from recommendation systems to predictive analytics. You’ll lead a small ML team, define best practices, and build systems impacting the product and business outcomes.

Responsibilities

• Own the ML roadmap, collaborating with product, engineering, and leadership.
• Lead end-to-end development of ML features (ideation, prototyping, deployment, monitoring).
• Design and improve core ML systems (recommendation engines, time series forecasting, personalization algorithms).
• Build and lead the ML team – hiring, onboarding, and performance management.
• Mentor and guide team members, fostering a culture of ownership, learning, and continuous improvement.
• Establish standards for model development, evaluation, versioning, and deployment.
• Collaborate cross-functionally with backend, data, and product teams.
• Stay ahead of the curve by evaluating and introducing new tools and ML practices.

Requirements

• 4+ years of experience in Machine Learning, including production-level model deployment.
• Strong experience with Python and SQL.
• Experience with AWS (especially SageMaker) and Docker is a plus.
• Proven track record of owning and delivering ML projects end-to-end.
• Experience with modern ML workflows (MLOps, CI/CD for ML).
• Excellent communication and prioritization skills.

Bonus

• Experience in retail, personalization, or regulated industries.

Application Instructions

(Not provided in the description)