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Applied Science Jobs in Houston, TX (NOW HIRING)

Relativity

Senior Manager, Applied Science

Houston, TX · On-site

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 ...

Relativity

Senior Manager, Applied Science

Houston, TX · On-site

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 ...

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Applied Science information

See Houston, TX salary details

$23.4K

$46.2K

$75.4K

How much do applied science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied science in Houston, TX is $46,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $49,700.00 per year, depending on experience, location, and employer.

What is an applied science?

An Applied Science job involves using scientific principles and methodologies to solve real-world problems in various industries, such as technology, healthcare, and engineering. Professionals in this field apply research, data analysis, and experimentation to develop practical solutions and improve processes. These roles often require collaboration with engineers, product teams, and business stakeholders to implement innovations effectively.

What are the key skills and qualifications needed to thrive in the applied science position, and why are they important?

To excel in Applied Science, a strong background in mathematics, statistics, computer science, and domain-specific scientific knowledge is essential, typically supported by a relevant advanced degree. Familiarity with data analysis tools (such as Python, R, MATLAB), machine learning frameworks, and experience with statistical modeling or experimental design are highly valued. Critical thinking, problem-solving abilities, and effective communication skills are important soft skills for translating scientific insights into practical solutions. These skills and qualities are crucial for driving innovation, collaboration, and the successful application of scientific methods to solve complex, real-world problems.

What are some common challenges faced by professionals in applied science roles?

Professionals in Applied Science often encounter the challenge of translating complex data or scientific concepts into actionable business solutions that non-experts can understand and implement. Balancing rigorous scientific methodology with the practical constraints of project deadlines and stakeholder expectations is also common. Working cross-functionally with teams in engineering, product management, or business operations requires ongoing collaboration and clear communication. Successfully navigating these challenges helps ensure the impact and relevance of applied scientific work within an organization.

Is applied science a good career choice?

Applied science is a viable career path that involves using scientific principles to develop practical solutions and technologies. It often requires strong problem-solving skills, technical knowledge, and may involve working in research, development, or engineering environments. Job prospects can vary based on industry demand and specialization areas.

What careers use applied science?

Applied science careers include roles such as biomedical engineers, environmental scientists, data analysts, and laboratory technicians. These jobs often require strong problem-solving skills, knowledge of scientific principles, and proficiency with tools and technology relevant to the field.

What does an applied science do?

An applied science professional uses scientific principles and methods to develop practical solutions, products, or technologies in fields such as engineering, healthcare, or environmental management. They often work in laboratories, research facilities, or industry settings, applying skills in data analysis, experimentation, and technical tools to address real-world problems.

What are the most commonly searched types of Applied Science jobs in Houston, TX?

The most popular types of Applied Science jobs in Houston, TX are:

What are popular job titles related to Applied Science jobs in Houston, TX?

For Applied Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Applied Science jobs in Houston, TX look for?

The top searched job categories for Applied Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Applied Science jobs?

Cities near Houston, TX with the most Applied Science job openings:

Applied Science jobs near you
Infographic showing various Applied Science job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $46,212 per year, or $22.2 per hour.

Senior Manager, Applied Science

Relativity

Houston, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

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 Senior Manager, Applied Science to lead a team expanding 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.

Your team will build for both, and you'll define the standard for how.

What You'll Do

  • Lead and grow a team of applied scientists: hire, coach, set direction, and develop people toward their best work.
  • Set the technical and scientific bar. The work stays hands-on: you'll shape architectures, review designs and evaluations, and dig into hard problems alongside your team, close enough to the science to lead by example.
  • Own AI system readiness end-to-end, from problem framing through evaluation, error analysis, efficacy studies, and production monitoring, so that what ships is dependable and defensible.
  • Choose the right problems. Current examples range from agentic assistants that extend what a legal professional can do, to large-scale review and analysis that must stay reliable across hundreds of thousands of documents per matter. You'll help decide where we invest.
  • Partner with product, engineering, design, customer-facing teams, and the legal experts on the team to take ideas from proof-of-concept to production at scale.
  • Communicate with precision to your team, to leadership, and to customers: translate technical nuance into decisions people can act on, and carry the customer's voice back into the work.
  • Represent Relativity at industry conferences, events, and with customers.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.
  • Deep applied AI/ML and deployment engineering experience: you've built production-ready AI systems and owned them through their production lifecycle, partnering with engineering teams to keep them running reliably.
  • Fluency with modern generative AI as a component of larger systems, and sound judgment about what it can and cannot do reliably.
  • Machine-learning rigor, grounded in data understanding: careful evaluation, error analysis, and the statistical thinking to draw only the conclusions your data supports.
  • Strong software-engineering judgment and programming skill.
  • An ownership mindset that extends beyond your immediate team.

Nice to Have

  • An interest in legal technology and the justice system.
  • Experience hiring and growing a team.
  • Experience developing information retrieval systems or agentic harnesses.
  • An interest in 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:

$208,000 and $312,000

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:

Artificial Intelligence (AI), Business Intelligence (BI), Data Analysis, Database Management, Data Governance, Data Intelligence, Data Visualization, Information Management, Machine Learning (ML), Strategic Planning

Apply