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Machine Learning Lead at Sweed POS. Location Information: Remote. . Hi there! . We're . SweedPos. ,. a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for a . Machine Learning Lead. to join our team remotely and help us scale and optimize our platform.. About Us. At Sweed. , we’re reimagining how cannabis retailers operate. Our . enterprise-grade platform. combines . POS, eCommerce, Marketing, Analytics and Inventory Management . into a single, seamless solution—eliminating the need for multiple third-party tools.. We believe in . simplicity, efficiency, and innovation. . That’s why we build for . scalability and performance. , making life easier for cannabis retailers while driving real business growth.. Why We’re Doing This. At . Sweed,. we believe in the . medicinal potential of cannabis.. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see . cannabis as a powerful tool for improving lives.. The . industry is evolving rapidly, . and we’re here to drive that transformation—making cannabis retail more . efficient, accessible, and customer-friendly.. 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. , which means constantly . improving our delivery processes. and . rolling out new features. . At the same time, we navigate the . complex legal landscape. of the cannabis industry, ensuring our platform remains compliant and future-proof.. Team Structure. Right now, our . total team size is around 180 people. :. The development team is distributed globally . and organized into . cross-functional product teams.. These teams typically consist of 8–12 members, including front-end and back-end developers, QA specialists, and analysts. . Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction.. Meanwhile, our. CEO, account managers, and customer success team are based in the USA. , working closely with us to align product development with business and user needs.. Why This Role Matters. We’re entering a phase where data will be a key differentiator. As our . ML Lead. , you’ll drive the strategy, architecture, and execution of our ML initiatives - from recommendation systems to predictive analytics. You’ll have a chance to lead a small ML team (starting with hands-on work), define best practices, and build systems that directly impact the product and business outcomes.. What to do in the project?. Own the ML roadmap. – work closely with product, engineering, and leadership to align ML initiatives with company goals. Lead end-to-end development. of ML features: from ideation and prototyping to deployment and monitoring. Design and improve core ML systems. , including recommendation engines, time series forecasting, and personalization algorithms. Build and lead the ML team. – take part in hiring, onboarding, and performance management of engineers and data scientists. Mentor and guide team members. , fostering a culture of ownership, learning, and continuous improvement. Establish standards. for model development, evaluation, versioning, and deployment in production. Collaborate cross-functionally. with backend, data, and product teams to deliver scalable and maintainable solutions. Stay ahead of the curve by evaluating and introducing new tools, technologies, and ML practices. What professional skills are important for us?. 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 (e.g. . MLOps. , CI/CD for ML). Ability to lead and mentor others while remaining hands-on. Excellent communication and prioritization skills. Bonus: experience in retail, personalization, or regulated industries. What Else Matters?. Proactivity . – We love team members who take initiative and provide feedback. Critical thinking. – We value problem-solvers who think beyond just writing code. Adaptability. – Our industry is evolving fast, and we need people who thrive in change. What We Offer. Salary in USD. (B2B contract with the US company). 100% remote. – We’re a remote-first company, no offices needed!. Flexible working hours. – Core team time: 09:00-15:00 GMT (flexible per team). 20 paid vacation. days per year. 12 holidays. per year. 3 sick leave. days. Medical insurance . after probation. Equipment . reimbursement (laptops, monitors, etc.). Hiring Process. Recruiter Call. (up to 45 minutes) – Quick intro & optional tech screen. Hiring Manager call. (up to 45 minutes) - Deep dive into your ML background. Technical Interview. (up to 1.5 hours) – Deep dive into ML skills. .