Research Scientist - 2 / 3

$79K - $147K Corinne, UT, US Mid Level Research Scientist

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About This Role

AI job market dashboard showing open roles by category

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: None

TRAVEL: Yes, 10% of the TimeDescription

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At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history \- from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman’s Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Research Scientist – Level 2 or Level 3 located in Promontory, UT, you’ll be a linchpin in missions of paramount importance, defining the art of the possible from day one.

This Research Scientist/Engineer position is responsible for providing technical analysis and consultation on a variety of chemical and engineering challenges, including process planning for energetic materials, experimental design, data and statistical analysis, and the preparation of regular status updates and technical reports.

The candidate must be able to communicate complex concepts effectively, both verbally and in writing, to internal and external customers. The role will require collaboration with a multidisciplinary team of scientists, engineers, and technicians working on energetic material projects.

This position will work a 9/80 schedule, with every other Friday off.

Job responsibilities include, but are not limited to, the following:

  • Plan and develop energetic\-material processes and experiments.
  • Perform data and statistical analyses.
  • Handling of energetic materials and other hazardous materials.
  • Prepare regular status updates and technical reports.

Why you? You’re the candidate we’re searching for if you are ready to achieve the impossible alongside like\-minded innovators.

This position can be filled at either a Level 2 or Level 3\.

Basic Qualifications for Level 2:

  • Bachelor’s degree in Chemical Engineering or related discipline with 2 years of professional experience – OR – Master’s degree with 0 years of professional experience.
  • Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • Ability to pass a background check for the Federal Safe Explosives Act (SEA)
  • Excellent written and verbal communication skills.
  • Excellent time‑management and organizational skills.
  • Proven ability to interpret and report on test data.
  • Detail‑oriented yet able to see the bigger picture and prioritize effectively.

Basic Qualifications for Level 3:

  • Bachelor’s degree in Chemical Engineer or related discipline with 5 years of professional experience – OR – Master’s degree with 3 years of professional experience – OR – PhD with 1 year of professional experience.
  • Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance
  • Ability to pass a background check for the Federal Safe Explosives Act (SEA)
  • Excellent written and verbal communication skills.
  • Excellent time‑management and organizational skills.
  • Experienced in reviewing, interpreting, and drawing conclusions from test results.
  • Detail‑oriented yet able to see the bigger picture and prioritize effectively.
  • Proven team player who can work effectively in a multidisciplinary environment.

Preferred Qualifications:

  • Knowledge and/or experience with energetic‑material formulation.
  • Knowledge and/or experience with pyrotechnic gas generants.
  • Experience handling hazardous materials.
  • Familiarity with manufacturing process control and related methodologies.
  • Knowledge and understanding of device‑design principles.
  • Working knowledge of common chemical and thermal analysis methods.
  • Experience using statistical tools to analyze and interpret data.
  • Experience with risk‑assessment methodologies such as HA, DFMEA, and PFMEA.
  • Experience with structured RCCA problem‑solving tools such as 5 Why, Fishbone, Fault‑Tree Analysis, and 8D.

Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below:

https://www.northropgrumman.com/space

Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site.

Primary Level Salary Range: $79,300\.00 \- $118,900\.00

Secondary Level Salary Range: $98,400\.00 \- $147,600\.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Salary Context

This $79K-$147K range is in the lower quartile for Research Scientist roles in our dataset (median: $183K across 83 roles with salary data).

Role Details

Title Research Scientist - 2 / 3
Location Corinne, UT, US
Category Research Scientist
Experience Mid Level
Salary $79K - $147K
Remote No

About This Role

Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.

The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.

Across the 3,708 AI roles we're tracking, Research Scientist positions make up 3% of the market. At Northrop Grumman, this role fits into their broader AI and engineering organization.

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

What the Work Looks Like

A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

Skills in Demand for This Role

Python (51% of roles) Aws (30% of roles) Azure (24% of roles) Rag (23% of roles) Gcp (17% of roles) Prompt Engineering (15% of roles) Pytorch (15% of roles) Claude (13% of roles)

PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.

Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.

Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.

Compensation Benchmarks

Research Scientist roles pay a median of $222,200 based on 197 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000. This role's midpoint ($113K) sits 49% below the category median. Disclosed range: $79K to $147K.

Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.

Northrop Grumman AI Hiring

Northrop Grumman has 5 open AI roles right now. They're hiring across Data Scientist, Research Scientist, AI Software Engineer. Positions span Remote, US, Corinne, UT, US, Dulles, VA, US. Compensation range: $147K - $206K.

Location Context

Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).

Career Path

Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.

From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.

The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.

What to Expect in Interviews

Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.

When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.

AI Hiring Overview

The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.

The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).

Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.

The AI Job Market Today

The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 197 roles with disclosed compensation, the median salary for Research Scientist positions is $222,200. Actual compensation varies by seniority, location, and company stage.
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
About 14% of the 3,708 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Northrop Grumman is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from Research Scientist positions include Research Lead, Distinguished Scientist, VP of Research. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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