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Entry Level Ai Safety Jobs (NOW HIRING)

Follow all cleanroom, safety, and quality control procedures What We're Looking For * General ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

From high-performance data centers driving the future of AI to dynamic commercial environments ... * Entry Level NFPA, ICC Certifications or other specialized credentials related to the field of ...

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

This entry-level position plays a critical role in supporting the design, development, and ... Meaningful work that impacts air travel safety around the world * A strong work-life balance ...

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How much do entry level ai safety jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for entry level ai safety in the United States is $25.60, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $28.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level AI Safety professional, and why are they important?

To thrive as an Entry Level AI Safety professional, you need a foundational understanding of machine learning concepts, programming skills (especially in Python), and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of safety protocols or alignment techniques, are often required, along with any certifications in AI or data science. Strong analytical thinking, attention to detail, and effective communication skills help you identify risks and collaborate with interdisciplinary teams. These skills ensure the safe development and deployment of AI systems, minimizing unintended consequences and supporting responsible innovation.

What are entry level AI safety jobs?

Entry level AI safety jobs are positions designed for individuals who are new to the field of artificial intelligence safety. These roles typically involve tasks such as monitoring machine learning models for unintended behavior, assisting with research on safe AI design, or supporting teams that develop guidelines for responsible AI use. Most entry level positions require a background in computer science or a related discipline and an interest in ethical technology. They provide a starting point for building expertise in ensuring that AI systems are developed and deployed in ways that are safe and aligned with human values.

What is the difference between Entry Level Ai Safety vs Entry Level Machine Learning Engineer?

AspectEntry Level Ai SafetyEntry Level Machine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; basic understanding of AI safety principlesBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, AI safety teams, tech companies focusing on AI ethicsTech companies, startups, research institutions developing ML models
Industry UsageAI safety, ethics, policy, and responsible AI developmentModel development, deployment, and optimization in AI/ML projects

Entry Level Ai Safety roles focus on ensuring AI systems are safe, ethical, and aligned with human values, often involving research and policy. Entry Level Machine Learning Engineer positions concentrate on building, training, and deploying ML models. While both require a background in computer science and AI, Ai Safety roles emphasize safety principles and ethics, whereas ML Engineer roles focus on technical model development.

What types of projects and responsibilities can I expect in an entry-level AI safety role?

In an entry-level AI safety position, you'll typically assist with tasks such as reviewing machine learning models for potential biases, helping develop risk assessment frameworks, and supporting the creation of documentation for model transparency. You may also contribute to research projects on topics like robustness, interpretability, and alignment of AI systems. Collaboration with senior researchers and engineers is common, and you'll often participate in team meetings to discuss safety concerns and mitigation strategies. These experiences are designed to build a strong foundation in both technical and ethical aspects of AI safety.
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Infographic showing various Entry Level Ai Safety job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 21% Part Time, 2% Temporary, and 7% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $53,254 per year, or $25.6 per hour.
Associate AI Software Engineer (Level 1)

Associate AI Software Engineer (Level 1)

Northrop Grumman Corporation

Dulles, VA • On-site

Full-time

Medical, Life, PTO

Posted 10 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 346 frontline employees who took The Breakroom Quiz

110th of 527 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: Top SecretTRAVEL: Yes, 25% of the TimeDescriptionAt 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 an entry-level AI Software Engineer - Level 1 supporting our Space team, this role can be based at our Dulles, VA location. On our team, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one.

We are looking for an early-career AI researcher or engineer with deep knowledge of Computer Science and a deep focus on Reinforcement Learning (RL) to design and implement intelligent autonomy algorithms for our space and aerospace programs.

Job Responsibilities
In this role you will:

  • Perform Novel Algorithm R&D

  • Design and implement state-of-the-art RL / SL algorithms drawn from the latest literature

  • Rapidly prototype in Python/JAX/PyTorch, then port to embedded C++/CUDA

  • Develop Physics-Based Autonomy to perform Mission Planning & Decision-Making

  • Apply supervised learning, reinforcement learning, and other AI/ML techniques to high-fidelity astrodynamics planning and controls problems, including real-time constraint handling

  • Fuse learned policies with classical GNC filters for robust guidance, navigation, and closed-loop control

  • Build models that re-optimize delta-V, power, and comm- (among other) constrained timelines using neural search or differentiable optimization

  • Develop AI solutions for real-time anomaly detection and response to ensuring robust and adaptive spacecraft operations. This includes developing models that detect out-of-family telemetry and select corrective actions via hierarchical or policy-gradient RL

  • Lead Verification & Flight Readiness

  • Lead Monte-Carlo, Processor-in-the-Loop, Hardware-in-the-Loop, and digital twin campaigns to prove safety and performance via internal standards

  • Participate in the full life cycle of software development, including requirements development, modeling and design, application development, unit to CSCI testing, integration, formal system testing, release, installation, and maintenance

In this role, you will be developing systems for a variety of spacecraft using current technologies and others yet to come! We are seeking team members who have a thirst for knowledge, approach each day with optimism, and have a relentless drive to solve complex problems. Creativity and innovation are imperative for this role, because at Northrop Grumman, many of the problems we work on are impossible... until they're not.

To be successful in this role you should have:

  • Strong interest in space, national security, and related mission areas

  • Be an active and integral member of your team

  • Channel your enthusiasm to innovate

  • Be part of a supportive team that develops and deploys technologies that matter to our national security

  • Work with agility, flexibility, and collaboration to explore creative ideas

This position is 100% onsite and cannot accommodate telecommute work. This position will work a 9/80 schedule, with every other Friday off.

This position is contingent upon the candidate verifying and/or obtaining final clearances and program access(es) within a reasonable period of time as determined by the company.

Basic Qualifications: (must have to be considered)

  • Requires an active U.S. Government Top-Secret clearance [TS] at time of application, current and within scope, with the ability to obtain and maintain Sensitive Compartmented Information (SCI) program access within a reasonable period of time

  • Level 1: (Associate level)

    • Bachelor's degree with a minimum of 1 year of relevant AI engineering experience

      • May consider an additional 4+ years of experience in lieu of a completed degree

  • Must be able to travel up to 25%

  • Industry knowledge and/or foundational education of AI, with a focus on ML, RL, or SL model development

  • Experience with machine learning usage in a product line environment

  • Experience with hands-on coding of learning algorithms from primary literature-comfortable translating equations to optimized code

  • Experience with physics-based AI application (e.g. for spacecraft, robotics, autonomous aircraft, drones, rockets, or similar) in academia or industry

  • Experience in developing scalable RL/SL and other ML pipelines, with a track record of designing novel algorithms tailored to complex, real-world dynamics

  • Experience/proficiency in software engineering best practices and standards

  • Experience in simulation development for space vehicle applications

  • Experience in Embedded Software, Space Flight Software, or Simulation Software

  • Experience with Python, CUDA, C/C++ programming

Preferred Qualifications:

  • Current/Active TS/SCI

  • MS or PhD in Computer Science or Reinforcement Learning, or STEM degree field with strong physics-based numerical modeling and AI/ML experience

  • Diverse programming proficiency: C/C++, Python, MATLAB/Simulink, Windows/Linux scripting

  • Demonstrated systems engineering excellence in requirements analysis, modeling and simulation, verification and validation at subsystem and system level or Demonstrated vehicle development, mission systems integration, ground and flight test validation experience

  • Experience in successfully developing and integrating software and hardware solutions for space applications

  • Experience in system and subsystem specification development including verification methodologies

  • Experience implementing action plans based on metrics and/or root cause/corrective actions

  • Hands-on technical experience with spacecraft or satellite related systems

  • Proven experience working with technically diverse teams across multiple locations

  • Experience with Space Flight Software, Simulation Software

If this job description reads like it was written specifically for you, consider joining our team!

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.

Northrop Grumman Total Rewards

Primary Level Salary Range: $92,200.00 - $138,400.00The 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.

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About Northrop Grumman

Sourced by ZipRecruiter

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.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939