Overview
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Relativity applies AI to help users discover the truth more quickly, organize data, and act with confidence across products, legal matters, and investigations.
Relativity has established AI Principles to guide product development, including delivering value for customers, maintaining privacy and security, and ensuring accountability.
About the AI Team: Relativity teams across Engineering, data engineering, ML Ops, applied science, and product-focused features for the Relativity One AI suite.
About the Applied Science Manager Role: The Polish branch of the Applied Science team is expanding. The Applied Science Manager will be a single-threaded owner of the AI model & evaluations aspect of our agentic assistant specializing in search and e-discovery use cases. You will collaborate cross-functionally to ship improvements and influence roadmap and strategy.
Seniority level: Mid-Senior level • Employment type: Full-time
Location: Remote with Poland-based collaboration noted.
Responsibilities
- Build and lead a high-performing applied science team (hire, onboard, set expectations, coach, and manage performance).
- Translate objectives into roadmaps: define milestones, resourcing, and risks; maintain a transparent, prioritized backlog (features, experiments, and tech debt).
- Grow people and culture: set ambitious goals, promote learning and experimentation, and create a psychologically safe environment.
- Partner broadly with Product, Engineering, Design, and Customer teams to move from PoC to production at pace.
- Own modeling & evaluation strategy across the stack: retrieval, re-ranking, generation, tool use, and guardrails.
- Choose the right approach for the job with clear cost/latency/reliability trade-offs.
- Stand up rigorous evals: offline datasets, online, human-in-the-loop labeling, and quality dashboards.
- Advance retrieval and generation quality (chunking, indexing, embeddings, query understanding, prompting, function calling, structure).
- Productionize with robust MLOps/LLMOps: versioning, CI/CD for models/prompts, observability, rollback plans.
- Champion privacy, security, and safety by design; collaborate with Legal/Compliance on AI governance.
- Consistently ship measurable improvements to search quality, answer accuracy, and user experience.
- Represent Relativity in select customer meetings and industry events; contribute to hiring via talks, posts, and networks.
Minimum Qualifications
- Advanced degree in Computer Science, or a quantitative discipline AND 5+ years in applied ML/AI, including 2+ years managing or tech-leading applied science/ML teams.
- Excellent communication in English (written and spoken), with the ability to explain complex trade-offs to diverse audiences.
- Track record shipping AI features in collaboration with product and engineering.
- Solid grounding in statistical & mathematical modeling and MLOps/LLMOps concepts.
- Excellent analytical skills.
- Intentional user of modern AI productivity-enhancing tools.
- Strong Python and software engineering practices; familiarity with modern ML/LLM tooling and cloud (any major provider).
Preferred Qualifications
- Experience with generative AI in production as part of larger systems (agents, tool use, function calling, guardrails).
- Depth in information retrieval & search (BM25, dense retrieval, hybrid, reranking).
- Experience in SaaS/Cloud with distributed teams, and operating in regulated/customer-data environments.
- Familiarity with privacy & AI regulations and enterprise governance.
Relativity is a diverse workplace and values different skills and life experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status, in accordance with applicable law.
Benefits
- Comprehensive health plan
- Flexible work arrangements
- Two, week-long company breaks per year
- Unlimited time off
- Long-term incentive program
- Training investment program
The position is eligible for total compensation including base salary, annual bonus, and long-term incentives.
The expected salary range for this role is PLN 296,000 to PLN 444,000. The final offered salary will be based on experience, skill set, qualifications, and internal pay equity. Hiring at the top end is unlikely to allow for future meaningful growth.
Notes
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