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Applied Jobs in Silver Spring, MD (NOW HIRING)

Applied Mathematics Tutor

Bowie, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Applied Mathematics Tutor

Fairfax, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Applied Mathematics Tutor

Laurel, MD · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Applied Mathematics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Senior Applied Scientist

Reston, VA · On-site

$95K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior Applied Scientist to bring our Machine Learning and Artificial Intelligence R&D to the next level.

Showing results 41-60

Applied information

See Silver Spring, MD salary details

$32K

$60.2K

$89.4K

How much do applied jobs pay per year?

As of Aug 18, 2026, the average yearly pay for applied in Silver Spring, MD is $60,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $68,700.00 per year, depending on experience, location, and employer.

What does an applied job title mean?

The term 'Applied' in a job title typically refers to roles that focus on the practical application of knowledge and skills within a specific field, such as applied science, applied mathematics, or applied engineering. These positions emphasize using theoretical concepts to solve real-world problems or develop practical solutions. For example, an 'Applied Scientist' would use scientific principles to create products or processes that address industry needs. The exact responsibilities will depend on the field and the organization. It's important to review the full job description to understand what 'Applied' means in the specific context.

What are the key skills and qualifications needed to thrive as an applied scientist, and why are they important?

To thrive as an Applied Scientist, you need a strong background in mathematics, statistics, and programming, usually supported by an advanced degree in a relevant field like computer science, engineering, or data science. Familiarity with tools such as Python, R, SQL, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with big data platforms are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills that distinguish top performers in this role. These skills are crucial for developing innovative solutions, collaborating across teams, and translating complex data insights into actionable business strategies.

What are some typical challenges faced by professionals in applied research roles, and how can they be addressed?

Professionals in applied research roles often encounter challenges such as bridging the gap between theoretical findings and practical implementation, managing cross-disciplinary collaborations, and adapting to rapidly evolving technologies. Overcoming these challenges typically involves strong communication skills to translate complex ideas, flexibility to pivot research direction based on stakeholder needs, and a willingness to continually learn new tools and methods. Building collaborative relationships with both technical and non-technical team members can also help ensure that research outcomes are effectively integrated into real-world applications.

What is the difference between Applied vs Data Analyst?

AspectAppliedData Analyst
Required CredentialsTypically a degree in applied sciences, engineering, or related fieldsUsually a degree in statistics, mathematics, or data science
Work EnvironmentHands-on, practical settings such as labs, manufacturing, or fieldworkOffice-based, focused on data interpretation and reporting
Industry UsageCommon in engineering, manufacturing, and applied sciencesPrevalent in finance, marketing, healthcare, and tech
Comparison IntentApplied focuses on practical implementation and real-world problem solvingData Analyst emphasizes data analysis, visualization, and insights

Applied roles involve practical application of scientific principles in real-world settings, while Data Analysts focus on interpreting data to inform decisions. Both roles require analytical skills but differ in work environment and industry focus.

What are popular job titles related to Applied jobs in Silver Spring, MD?

For Applied jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Applied jobs in Silver Spring, MD look for?

The top searched job categories for Applied jobs in Silver Spring, MD are:

Infographic showing various Applied job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $60,163 per year, or $28.9 per hour.

Senior Manager, Applied Science

Relativity

Washington, DC

Full-time

Posted 15 days ago


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