Staff Data Scientist (AI)

Location: Latvia; fully remote or onsite at the Riga office.

Salary: from €6,300 gross per month, depending on experience, education, and skills.

Company

hirify.global powers on-demand commerce by combining technology, talent, and infrastructure from Printful, Printify, and Snow Commerce to help creators and brands produce merchandise at global scale.

What you will do

• Lead the architecture of candidate retrieval, multi-objective ranking, personalization, and learning-to-rank systems for product and design recommendations.
• Develop search and recommendation models using Two-Tower networks, vector search, sequence embeddings, and Transformer rerankers.
• Scale image generation and visual intelligence pipelines using multimodal models, diffusion models, computer vision, and image-processing workflows.
• Build end-to-end ML products, from model selection, fine-tuning, prompt engineering, and self-hosting through serving pipelines and frontend API integration.
• Connect clicks, conversions, sales, and other merchant outcomes to upstream model training and generation logic.
• Define evaluation frameworks, oversee A/B testing, optimize inference, make technical build-versus-buy decisions, and mentor senior individual contributors.

Requirements

• 8+ years of hands-on experience building, deploying, and scaling production ML systems, with staff-level technical leadership experience.
• Deep expertise in search, candidate generation, recommendation systems, Two-Tower models, ANN vector indexing, Transformer rerankers, and learning-to-rank algorithms.
• Hands-on experience with classical computer vision and modern deep vision or generative architectures, including OpenCV, CNNs, Vision Transformers, diffusion models, and multimodal LLMs or CLIP.
• Strong Python and PyTorch experience, plus production serving, LLM orchestration, agentic frameworks, MLOps, and cloud data warehouse tooling.
• Experience with FastAPI, event-driven asynchronous processing, LangChain or LangGraph, CometML, Flyte, and Snowflake.
• Ability to take full technical ownership of ML products and use AI-assisted tools such as Gemini, Claude Code, and Claude Cowork for research, prototyping, and production development.

Nice to have

• Experience in e-commerce, two-sided marketplaces, or creator platforms.

Culture & Benefits

• Remote work or access to a modern office in Riga.
• Flexible working hours, with the option to start the day as late as 11 AM.
• Private health insurance and additional paid days for well-being and personal celebrations.
• Internal and external learning opportunities, mentorship, meetups, and hackathons.
• Healthy office lunch, employee merchandise discounts, and team-building events.

Hiring process

• Introductory chat with Talent Acquisition followed by a hiring manager interview.
• Potential whiteboard session and peer interviews with senior stakeholders.
• Final interview with senior management, followed by feedback review and an offer.