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44 Relativity Principal Engineer Jobs Hiring Near You

Relativity

Principal Engineer

Chicago, IL · On-site

What We Do At Relativity, engineersdon'tjust write code -they harness AI tools to architect ... Principals at Relativityaren'tivory-tower architects - they design, implement, review ...

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Relativity Jobs Information

What is it like to work at Relativity?

Relativity is a technology company that values innovation, collaboration, and customer-centricity, fostering a dynamic and fast-paced work environment.

The company's team structure is designed to encourage cross-functional collaboration, with a flat organizational hierarchy and a focus on empowering employees to take ownership of their projects. Relativity's mission is to revolutionize the way people work with data, and its products are used by various industries, including law, finance, and government.

Working at Relativity may appeal to candidates who are passionate about technology, data analysis, and problem-solving, as the company offers opportunities to work on cutting-edge projects, develop new skills, and contribute to the growth of a rapidly expanding organization.

What makes Relativity an attractive place to work?

Relativity is a leading provider of cloud-based data platforms for the legal and compliance industries, known for its innovative approach to data management and e-discovery solutions. The company's workplace culture values collaboration, innovation, and employee growth, with opportunities for professionals to work on cutting-edge projects and develop their skills in a dynamic and supportive environment. Joining Relativity can offer individuals a chance to contribute to the company's mission of making data more accessible and usable, while also advancing their careers in a rapidly evolving industry.

What other companies are hiring for Principal Engineer jobs?

What are the most popular jobs at Relativity?

What are the most popular categories at Relativity?

Infographic showing various Principal Engineer job openings at Relativity in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Lead Applied Scientist, Public Sector Investigations

Relativity

Columbus, OH • On-site

Other

Re-posted 12 hours ago

Key responsibilities

  • Set technical direction for the public-sector investigations workstream, including choosing approaches and maintaining coherence across contributors.

  • Review and evaluate the designs and evaluations of other scientists, raise standards, and resolve difficult technical issues.

  • Own AI system readiness from problem framing through evaluation, error analysis, and production monitoring in partnership with engineering.

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Lead Applied Scientist to set technical direction for our public-sector investigations work as we expand the aiR agentic harness for greater capability and reliability.

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

You'll build for both, and set the direction for how your workstream does it.

The Focus: Public Sector Investigations

This role anchors our science for public-sector investigations: FOIA and public-records workflows, government investigations, and the agencies that run them. Records officers and investigators face the same combinatorial problem as litigators, with an added obligation: their results answer to the public. You'll own the science for this domain end-to-end, from retrieval and review systems to the evaluation standards that make responses complete, correct, and defensible.

What You'll Do

  • Set technical direction for the workstream: choose the approaches, sequence the science, and keep the work coherent across contributors.
  • Lead the science without managing the people: review other scientists' designs and evaluations, raise the bar, and unblock the hard problems.
  • Own AI system readiness across the workstream, from problem framing through evaluation, error analysis, efficacy studies, and production monitoring, in partnership with engineering.
  • Be the first escalation for the domain's hardest technical calls, and know when to bring in Staff and Principal partners.
  • Be a pathfinder: build the first prototypes with tiger teams, and carry early initiatives from idea to evidence.
  • Take the work from proof-of-concept to production at scale, working with product, engineering, design, and the legal experts embedded in the team.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 3 years of professional experience in applied AI/ML.
  • Eligibility for a US Public Trust clearance.
  • Working knowledge of privacy and records standards: FOIA exemptions, PII handling, and redaction.
  • Deep applied AI/ML and deployment experience: AI systems you specified, prototyped, and carried into production with engineering partners.
  • Enough depth in modern AI to direct others' work with it: you can tell a sound AI system from a fragile one before it ships.
  • You lead the data understanding for your workstream: you design the study that settles the argument, and you trust data over intuition.
  • Software-engineering judgment that sets a workstream's tone: your reviews teach, and your designs last.
  • An ownership mindset that extends beyond your immediate scope.

Nice to Have

  • Deeper experience with government data or public-records work.
  • An interest in legal technology and the justice system.
  • Experience developing information retrieval systems.
  • Experience developing agentic harnesses.
  • Experience building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$164,000 and $246,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Communication, Database Management, Data Governance, Government Regulation, Information Security, Legal Practices, Legal Research, Policy Analysis, Stakeholder Management, Strategic Planning

Apply