Senior Applied AI/ML Scientist – B2B

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł26.6k - zł40k / month

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sprout Social, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

📣 Marketing

☁️ SaaS

🌍 Social Impact

Marketing • SaaS • Social Impact

Sprout Social, Inc. is a leading provider of social media management solutions. The company offers a comprehensive platform that enables businesses to streamline their customer care, enhance community management, and drive marketing efforts across various social media channels. With features like engagement, publishing, analytics, and social listening, Sprout Social helps organizations uncover trends, gather insights, and amplify their brand awareness. Their platform integrates AI and automation to improve efficiencies and personalize customer care. Additionally, Sprout Social offers influencer marketing and employee advocacy tools to enhance social reach. Trusted by over 30,000 brands and recognized for its top-tier software products, Sprout Social caters to enterprises, agencies, and small to medium businesses, providing innovative solutions to maximize the impact of social media strategies.

📋 Description

• Architect and deliver production ambient and interactive agentic workflows • Design LLM-powered content enrichments for customer reporting, alerts, and intelligence briefings • Lead technical direction for MCP-compatible services, function-calling patterns, and multi-step reasoning workflows • Make architecture decisions about retrieval, agents, fine-tuning, smaller models, and classical NLP • Define structured prompting standards, output schemas, and reusable engineering patterns • Establish LLM evaluation practices including offline benchmarks, online experimentation, regression detection, and human-in-the-loop review • Own safety, hallucination reduction, factual grounding, and output consistency guardrails • Build observability through tracing, cost tracking, latency budgets, quality metrics, and drift monitoring • Balance model quality, latency, and cost • Evolve embedding and semantic search infrastructure, including chunking, hybrid search, and re-ranking • Improve retrieval relevance within broader agentic architectures • Partner with Product and UX to ship customer-facing AI features • Lead technical design discussions and represent the AI team in architecture decisions • Raise engineering standards through code review, mentorship, and writing • Evaluate emerging models, frameworks, and techniques and incorporate appropriate options into the stack • Drive end-to-end delivery of significant AI features from concept through production • Establish reusable tooling and patterns to improve LLM development velocity and reliability • Mentor engineers on prompt design, evaluation, and AI system reliability

🎯 Requirements

• 6+ years of experience building and operating production software systems • 2+ years of hands-on experience shipping LLM-powered features in real-world applications • Strong backend engineering skills; Python preferred • Experience with several of: Large Language Model APIs and transformer-based techniques; embedding models and similarity search; vector databases such as ChromaDB, Pinecone, or Weaviate; prompt engineering and structured output techniques; LLM evaluation frameworks and automated testing; LLMOps practices including monitoring, versioning, and observability using Langfuse or Datadog • Track record of owning a system end-to-end in production • Experience making and defending architectural trade-offs, including model choice, build vs. buy, and latency vs. quality • Experience mentoring engineers or leading technical design reviews • Experience working closely with Product and UX on feature delivery • Bachelor’s degree in Data Science, Computer Science, Machine Learning, AI, or a related discipline preferred • Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or LangGraph preferred • Familiarity with Model Context Protocol (MCP) or tool-calling architectures preferred • Experience building agentic workflows or tool-using systems preferred • Knowledge of semantic search and content retrieval systems preferred • Experience with cloud platforms preferred • Background in media analytics, content intelligence, or large-scale text processing preferred • Experience in startup or high-growth environments preferred

🏖️ Benefits

• Eligibility for Restricted Stock Units (RSUs) • 26 paid days off annually, in addition to bank holidays and extra company-wide "Rest & Recharge" days • 20 weeks of paid leave for birthing parents • 16 weeks of paid leave for non-birthing parents • Annual $600 USD Lifestyle Spending Account for personal well-being, gym memberships, health expenses, hobbies, or wellness needs • Flexible, remote-first model • One-time $550 USD home office setup stipend • Monthly internet reimbursement • Dedicated mental health resources • Company-wide wellness programs • Opportunities to travel to Chicago HQ for team meetups and collaboration • Daily 50 zł lunch stipend when working from the Kraków office