principal machine learning engineer

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Principal ML Engineer</h3>
</div><div>C2CContract
</div></div><div>Chicago, IL
</div><div>Visa: US CitizenH1BTNGreen CardGC-EADH4-EADEAD
</div><div>Role: Principal ML Engineer Location: Dallas, TX - 5 days onsite from day 1 Secondary locations: Chicago, IL and New York City, NY Job Description: Responsibilities: Contribute to Mail Intelligence Mission: Support the development of AI/ML capabilities that enhance user personalization and insights within Mail and the broader client's ecosystem. Innovate and Personalize: Assist in building scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences. Technical Leadership: Guide and mentor a team of passionate engineers, fostering a culture of innovation and excellence. Your leadership will ensure the delivery of high-quality, user-centric solutions. Collaborative Development: Work with cross-functional teams to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions. Data-Driven Insights: Apply machine learning techniques and big data processing to derive insights from mail data, enhancing content and user knowledge. Tool and Workflow Development: Develop AI/ML tools and workflows to manage and utilize large datasets, supporting AI-based infrastructure and analytics. A/B Testing and Analysis: Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Commitment to Excellence: Maintain high engineering standards, focusing on code quality and architectural skills, while delivering optimal user experiences. Feedback and Recovery: Implement feedback loops and recovery paths to handle AI failures gracefully, ensuring user satisfaction. Balance Tradeoffs: Manage cost, quality, and speed tradeoffs in AI/ML solutions to optimize performance. A lot about YOU Educational Background: You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. Technical Skills: Proficient in programming languages such as Python or Java and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. AI Skills: Advanced AI skills, including experience with AI development tools and frameworks. Problem-Solving Ability: You possess strong analytical skills and a knack for solving complex problems using data-driven approaches. Collaboration: You are a team player who can work effectively with cross-functional teams, including tech leads and architects, to deliver high-quality solutions. Passion for Innovation: You are enthusiastic about leveraging AI/ML to drive innovation and enhance user experiences across Mail and the broader ecosystem. Attention to Detail: You maintain high standards for code quality and are committed to delivering robust, scalable solutions. Continuous Learning: You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services. Qualifications Educational Requirement: Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus. Experience: 8+ years of experience in machine learning, data analysis, or a related field. Technical Proficiency: Expertise in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Skilled with AI tools such as Cursor, Copilot, and Claude. Data and Infrastructure: Proficient in big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow, feature stores, vector databases, CI/CD for ML). Generative AI and Optimization: Hands-on experience with LLMs, generative AI (prompt engineering, Agent frameworks, fine-tuning, RAG, LLMOps), and GPU optimizations. Observability and Feedback: Familiar with observability, telemetry, and user feedback loops for product improvement. Algorithm Knowledge: Solid understanding of machine learning algorithms, natural language processing, and data mining techniques. Problem-Solving Skills: Demonstrated ability to solve complex problems and implement efficient, scalable solutions. Collaboration Skills: Ability to work effectively in a team environment and collaborate with tech leads, architects, and cross-functional teams. Communication Skills: Strong verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Continuous Improvement: Eagerness to learn and adapt to new technologies and methodologies in the AI/ML domain. Preferred Qualifications Mail Experience: Prior experience working with email systems or related technologies is a plus. Personal Attributes: Self-driven and detail-oriented, with a passion for tackling challenges. Strong teamwork spirit, excellent communication skills, and the ability to multitask and manage expectations effectively. Cloud Experience: Experience with public cloud platforms, especially Google Cloud Platform (GCP), is preferred.</div></div><div> Refer</div></div>

Principal ML Engineer

NetSage

<div>At NetSage, we are more than a government contractor&mdash;we are a mission-focused partner dedicated to advancing national security through exceptional cyber expertise. We believe our success begins with our people, which is why we invest in and care for our employees. We know that employee retention is mission continuity, and we are committed to building long-term careers where our people can grow alongside our customers' evolving missions. Our employees enjoy meaningful work, competitive compensation, outstanding benefits, and opportunities to expand their skills across multiple mission areas. To learn more about our comprehensive benefits and what it's like to build your career at NetSage, visit our Careers page.

Due to the sensitive nature of the work we support, some job descriptions intentionally provide a high-level overview of the role. If you'd like to learn more about a particular opportunity, we encourage you to apply directly or connect with us through our Get In Touch page. We'd be happy to discuss how your experience aligns with our mission and explore where you can make an impact.

Job Description:

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence analysis and operational decision-making. In this role, you will lead the development and operationalization of advanced AI-enabled applications integrating machine learning, large language models (LLMs), and modern software engineering practices to automate complex workflows and deliver mission-focused capabilities. The ideal candidate for this position will possess deep expertise in AI/ML technologies, software architecture, and cloud-native application development, with a proven ability to translate emerging technologies into scalable, operational solutions. Please consider applying if you meet the following qualifications.

Required Qualifications:
<ul>
<li>TS/SCI with polygraph security clearance.</li>
<li>A Bachelor of Science (B.S.) degree in Computer Science or a related field and eleven (11) years of relevant experience. Also acceptable are a Doctoral degree (PH.D.) and seven (7) years, a Master of Science (M.S.) degree and nine (9) years, or an Associate of Science (A.S.) degree and thirteen (13) years of relevant experience.</li>
<li>Proficiency with object-oriented languages like Java and Python.</li>
<li>Experience designing and developing AI/ML applications using modern software engineering methodologies.</li>
<li>Experience working with LLMs and generative AI technologies.</li>
<li>Experience with modern deep learning architectures, including deep neural networks (DNNs), recurrent neural networks (RNNs), and attention-based architectures.</li>
<li>Experience with ML techniques, including classification, clustering, collaborative filtering, semantic search, and information retrieval.</li>
<li>Experience using Jupyter Notebooks.</li>
</ul>
Desired Qualifications:
<ul>
<li>Experience implementing retrieval-augmented generation (RAG), Model Context Protocol (MCP), and AI agent frameworks.</li>
<li>Experience designing autonomous or agentic AI systems.</li>
<li>Strong understanding of statistical modeling, probability theory, Bayesian inference, covariance analysis, and machine learning fundamentals.</li></ul></div>

AI Software Engineer-Principal

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

Immersion Consulting, LLC

<div>Description:

The Senior Data Engineer is responsible for designing, implementing, maintaining, and optimizing a cloud-based data architecture and data pipeline ecosystem. The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data solutions. The Senior Data Engineer develops and maintains modern ELT/ETL pipelines, data models, source-controlled environments, and operational standards that enable efficient data ingestion, processing, storage, and access.<ul><li>
Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics.</li><li>
Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments.</li><li>
Migrate and integrate large-scale datasets into Azure Data Lake Storage (ADLS).</li><li>
Establish source control, version management, and development standards across data engineering assets.</li><li>
Implement pipeline monitoring, validation, logging, and error-handling frameworks.</li><li>
Design and maintain data models, data dictionaries, entity relationship diagrams, and architectural documentation</li><li>
Optimize ingestion, transformation, storage, and retrieval performance across diverse data sources and formats.</li><li>
Develop self-service data access capabilities for analysts and investigators.</li><li>
Collaborate with Data Scientists to ensure infrastructure effectively supports machine learning and AI initiatives.</li><li>
Author and maintain Standard Operating Procedures (SOPs) governing data pipeline development, deployment, and monitoring.</li><li>
Evaluate emerging AI-enabled engineering tools and LLM-assisted automation capabilities.</li><li>
Recommend and implement architectural improvements that increase efficiency, reliability, security, and cost effectiveness.</li></ul>
Requirements:
<ul><li>Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; or 5 years of relevant applied experience.</li><li>
Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations.</li><li>
Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions.</li><li>
Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning.</li><li>
Three or more years of experience developing data solutions using Python and Pandas.</li><li>
Experience supporting modern data platforms and cloud-native analytics architectures.</li><li>
Demonstrated expertise in data architecture design, pipeline optimization, and operational support.</li></ul></div>

Senior Data Engineer

MANTECH

<div>MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote. 
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of &ldquo;big data&rdquo; solutions to promote efficient trade and travel. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel. 
Responsibilities include but are not limited to:<ul><li>
Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>
Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>
Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>
Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li></ul> 
Minimum Qualifications:<ul><li>
HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years</li><li>
Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li><li>
Experience with programming languages including: R, Python, Scala, Java.</li><li>
Experience with SQL programming</li><li>
Experience constructing and executing queries to extract data in support of EDA and model development</li><li>
Experience with unsupervised and supervised machine learning techniques and methods</li><li>
Experience performing data mining, analysis, and training set construction</li></ul>
Preferred Qualifications<ul><li>
Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent</li><li>
Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li><li>
Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>
Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)</li><li>
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)</li><li>
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li></ul> 
Clearance Requirements:<ul><li>
Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.</li></ul> 
Physical Requirements:<ul><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.</li></ul></div>

Data Scientist

be group

<div><div>We are assisting our client in hiring for a Senior Machine Learning Engineer.</div>
<div>Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps financial institutions improve collections performance, deliver a better consumer experience, reduce operating costs, anticipate delinquencies, and make more informed credit decisions.</div>
This is a hybrid position based in Malvern, Pennsylvania. Candidates should be local to the Greater Philadelphia region and able to work onsite several days a week.
As part of a significant investment in Data &amp; AI, our client is expanding its engineering organization with two newly created Machine Learning positions. This role is focused on building the predictive intelligence that becomes part of the company's core SaaS platform.
This is a highly hands-on engineering opportunity for someone who enjoys solving real business problems with machine learning. You'll design, build, deploy, and continuously improve production models that help financial institutions better predict customer behavior, prioritize collections strategies, and improve lending outcomes.
Working alongside Product, Engineering, Data, and business leaders, you'll help transform large volumes of structured data into intelligent software capabilities that customers use every day. If you enjoy owning the entire machine learning lifecycle&mdash;from feature engineering and model development through deployment, monitoring, and optimization&mdash;this is an opportunity to make a measurable impact.
<h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline.</li>
<li>3+ years of experience designing, developing, and deploying production machine learning solutions.</li>
<li>Strong Python and SQL development skills.</li>
<li>Experience building predictive models using structured data.</li>
<li>Experience with feature engineering, model evaluation, deployment, and ongoing model monitoring.</li>
<li>Experience working with cloud-based data platforms and modern machine learning frameworks.</li>
<li>Familiarity with Azure, Databricks, MLflow, MLOps, or similar technologies.</li>
<li>Experience collaborating with engineering, product, and business teams to deliver production-ready AI solutions.</li>
</ul><h3 class="jobSectionHeader">Preferred Experience</h3>
<ul><li>Financial services, banking, lending, collections, credit risk, or fintech.</li>
<li>Building scalable data pipelines and production machine learning systems.</li>
<li>AI-assisted software development tools and modern engineering practices.</li>
<li>Passion for solving complex business problems through data and machine learning.</li></ul></div>

Senior Machine Learning Engineer

Northrop Grumman

<div>RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE REQUIRED FOR START: Yes
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time<h2 class="jobSectionHeader">
Description</h2>
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 &mdash; 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.
Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world&rsquo;s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.
Northrop Grumman Defense Systems is seeking an Human Factors Engineer (T02 level) / Human Factors Principal Engineer (T03 level). This position is located in Roy, Utah and supports the Sentinel program.
What You&rsquo;ll Get To Do:
The Sentinel program has an exciting opportunity for a Human Factors Engineer (HFE) / Principal HFE - to join our team supporting activities including design for maintainability, human machine interface development, requirements management, operator workstation design, CONOPS support, task analyses, verification &amp; validation, analyses and collaboration to facilitate equipment selection, design and arrangement; user group collaboration and working groups; compliance with specified sections of MIL-STD-1472G; collaboration across IPTs; and coordination with the customer and user community.
Specific duties to include, but are not limited to the following:<ul><li>
Author/support the development of requirements that are compliant with Human Factors best practices and specified sections of MIL-STD-1472G</li><li>
Human Factors Analyses (including, but not limited to: task analyses, predictive workload analyses, interface prototyping and analysis, and design-for-maintainability (DFM) analysis)</li><li>
Perform functional analysis, timeline analysis, detailed trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications</li><li>
Conduct computer-based (NX) and empirical accessibility assessments</li><li>
Author/support the program documentation of the HFE processes and products in a format consistent with US Military Data Item Descriptions (e.g. Human Engineering Program Plan, Human Engineering Design Approach Document &ndash; Operator, Human Engineering Design Approach Document &ndash; Maintainer, Human Engineering Test Plan, Human Engineering Test Report, etc.)</li><li>
Cross-IPT Collaboration</li><li>
Design and develop workstation geometry and layout controls and displays to accommodate the full anthropometric range of expected users</li></ul>
Basic Qualifications
This requisition may be filled at either the Engineer level (T-02) or Principal Engineer level (T-03).
Required for Both Levels:<ul><li>
Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years</li><li>
Must have the ability to obtain and maintain Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs</li><li>
Strong written and verbal communication skills; ability to present to segment, program and customer community</li></ul>
Engineer (T02 Level):
<ul><li>Educational background in psychology, human factors, user experience, graphic design, industrial design, or HCI-related field from an accredited university, and at least 2 years of related experience with a Bachelors; OR at least 1 Years of relevant experience with a Masters degree.</li></ul>
Principal Engineer (T03 Level):<ul><li>
Educational background in psychology, human factors, user experience, graphic design, industrial design, or HCI-related field from an accredited university, and at least 5 years of related experience with a bachelors; OR at least 3 Years of relevant experience with a master&rsquo;s degree; OR 1 Year with a PhD degree.</li></ul>
Preferred Qualification<ul><li>
Large scale / complex system development experience across multiple phases of a development program: preliminary design, detailed design, integration and test, verification and sell off, transition to production</li><li>
Experience with Human Factors in a defense contracting environment (familiarity with Mil-Std-1472G and ANSI/HFES 100-2007)</li><li>
Familiarity with Human Factors modeling in NX/Jack, IMPRINT</li><li>
Experience in HF test environment</li><li>
Experience in fast-paced work environment and ability to work in a team environment</li><li>
Demonstrated experience applying HFE principles to Department of Defense programs</li></ul>
Position Benefits
As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including:<ul><li>
Medical, Dental &amp; Vision coverage</li><li>
401k</li><li>
Educational Assistance</li><li>
Life Insurance</li><li>
Employee Assistance Programs &amp; Work/Life Solutions</li><li>
Paid Time Off</li><li>
Health &amp; Wellness Resources</li><li>
Employee Discounts</li></ul>
https://www.northropgrumman.com/who-we-are/total-rewards-benefits/
This position&rsquo;s standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off.
This role may offer a competitive relocation assistance package.
#Sentinelsystems
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.</div>

Sentinel - Human Factors Engineer (T02 / T03) - 17906*

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