PERMANENT

FULL_TIME

POSTING_API

UNKNOWN

Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Working under the guidance of senior engineers and data scientists, this role contributes to real-world projects involving data processing, model experimentation, and software integration.

<div class="job" xmlns="http://www.w3.org/1999/xhtml"> <p> <span itemprop="description" class="jobdescription">Requisition Number: 28587 </span> </p> <p> <span itemprop="description" class="jobdescription">Required Travel: 0 - 10%</span> </p> <p> <span itemprop="description" class="jobdescription">Employment Type: Full Time/Salaried/Exempt</span> </p> <p> <span itemprop="description" class="jobdescription">Anticipated Salary Range: $51,706.00 - $70,000.00 </span> </p> <p> <span itemprop="description" class="jobdescription">Security Clearance: Ability to Obtain  </span> </p> <p> <span itemprop="description" class="jobdescription">Level of Experience: Senior </span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription">This opportunity resides with <strong>Warfare Systems (WS)</strong>, a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems.</span> </p> <p> <span itemprop="description" class="jobdescription">HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.<br /> </span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription"> <strong>Meet HII’s Mission Technologies Division</strong> <br />Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you.</span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription">To learn more about Mission Technologies, click here for a short video: <a href="https://vimeo.com/732533072">https://vimeo.com/732533072</a></span> </p> <div> <div style="padding:10.0px 0.0px;border:1.0px solid transparent"> <div style="font-size:16.0px;word-wrap:break-word"> <h2 style="font-size:1.0em;margin:0.0px"> <span itemprop="description" class="jobdescription"> <u> <b>Job Description</b> </u> </span> </h2> </div> <div> <p> <span itemprop="description" class="jobdescription">The AI/ML Engineering Intern will support the development, testing, and deployment of machine learning models and AI-driven solutions. Working under the guidance of senior engineers and data scientists, this role contributes to real-world projects involving data processing, model experimentation, and software integration. The ideal candidate is curious, analytical, and eager to learn modern AI and machine learning techniques in a practical, collaborative environment.</span> </p> </div> </div> <div style="padding:10.0px 0.0px;border:1.0px solid transparent"> <div style="font-size:16.0px;word-wrap:break-word"> <h2 style="font-size:1.0em;margin:0.0px"> <span itemprop="description" class="jobdescription"> <u> <b>Essential Job Responsibilities</b> </u> </span> </h2> </div> <div> <ul> <li> <span itemprop="description" class="jobdescription">Assist in designing, training, and evaluating machine learning models for various business use cases</span> </li> <li> <span itemprop="description" class="jobdescription">Support data collection, preprocessing, cleaning, and feature engineering tasks</span> </li> <li> <span itemprop="description" class="jobdescription">Help build scalable ML pipelines and contribute to model deployment efforts</span> </li> <li> <span itemprop="description" class="jobdescription">Conduct research on new algorithms, frameworks, and tools to improve model performance</span> </li> <li> <span itemprop="description" class="jobdescription">Collaborate with engineering teams to integrate models into applications or systems</span> </li> <li> <span itemprop="description" class="jobdescription">Participate in code reviews, documentation, and agile development processes</span> </li> <li> <span itemprop="description" class="jobdescription">Analyze results, prepare reports, and present findings to project stakeholders</span> </li> <li> <span itemprop="description" class="jobdescription">Troubleshoot issues and help optimize existing models or workflows</span> </li> </ul> </div> </div> <div style="padding:10.0px 0.0px;border:1.0px solid transparent"> <div style="font-size:16.0px;word-wrap:break-word"> <h2 style="font-size:1.0em;margin:0.0px"> <span itemprop="description" class="jobdescription"> <u> <b>Minimum Qualifications</b> </u> </span> </h2> </div> <div> <ul> <li> <span itemprop="description" class="jobdescription">Currently pursuing a bachelor's or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field</span> </li> <li> <span itemprop="description" class="jobdescription">Foundational knowledge of machine learning concepts such as supervised and unsupervised learning, model evaluation, and feature engineering</span> </li> <li> <span itemprop="description" class="jobdescription">Experience with Python and ML libraries such as NumPy, pandas, scikit-learn, TensorFlow or PyTorch</span> </li> <li> <span itemprop="description" class="jobdescription">Understanding of data structures, algorithms, and basic software engineering practices</span> </li> <li> <span itemprop="description" class="jobdescription">Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus</span> </li> <li> <span itemprop="description" class="jobdescription">Strong problem-solving skills and ability to learn quickly</span> </li> <li> <span itemprop="description" class="jobdescription">Excellent communication and teamwork abilities</span> </li> <li> <span itemprop="description" class="jobdescription">Clearance: May be requried to obtain a secret security clearance</span> </li> </ul> </div> </div> <div style="padding:10.0px 0.0px;border:1.0px solid transparent"> <div style="font-size:16.0px;word-wrap:break-word"> <h2 style="font-size:1.0em;margin:0.0px"> <span itemprop="description" class="jobdescription"> <u> <b>Physical Requirements</b> </u> </span> </h2> </div> <div> <ul> <li> <span itemprop="description" class="jobdescription">May require working in an office, industrial, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances.</span> </li> </ul> </div> </div> </div> <p> <span itemprop="description" class="jobdescription">HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.</span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription"> <strong>Why HII</strong> <br />We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.</span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription">Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career.</span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription"> <strong>Together we are working to ensure a future where everyone can be free and thrive.</strong> <br />All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.</span> </p> <p> <span itemprop="description" class="jobdescription"> </span> </p> <p> <span itemprop="description" class="jobdescription"> <strong>Do You Need Assistance? </strong> <br />If you need a reasonable accommodation for any part of the employment process, please send an e-mail to <strong><a href="mailto:buildyourcareer@hii-co.com">buildyourcareer@hii-co.com</a></strong> and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call <strong>1-844-849-8463</strong> for assistance. Press #3 for HII Mission Technologies.</span> </p> <p class="job-location"></p></div>

Company Confidential

AI/ML Engineering Intern - 28587

Agile Programming Methodologies

Algorithms

Amazon Web Services (AWS)

Analysis Skills

Artificial Intelligence (AI)

Big Data

Business Administration

Business Case

Business Model

Cloud Computing

Code Reviews

Communication Skills

Computer Science

Cyberspace

Data Collection

Data Modeling

Data Processing

Data Science

Data Structures

Documentation

Federal Government

GCP (Good Clinical Practices)

Government

Hardware Development

Identify Issues

Internet Security

Machine Learning

Mathematics

Microsoft Windows Azure

Network Architecture/Engineering

Performance Management

Performance Modeling

Problem Solving Skills

Python Programming/Scripting Language

Reporting Skills

Research Skills

Reverse Engineering

Scalable System Development

Secret Clearance

Security Clearance

Software Development

Software Engineering

Sustainability

Team Player

Test Plan/Schedule

United States Military

Use Cases

Vehicle Fleets

Vision Plan

Willing to Travel

ADAPTED_NOW

A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance </li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year</li></ul>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Washington D.C., DC, USA; Seattle, WA, USA</b>.<h3>Minimum qualifications:</h3><ul><li>Bachelor's degree or equivalent practical experience.</li><li>5 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.</li><li><div><div><div>Experience with SQL.</div></div></div></li></ul><h3>Preferred qualifications:</h3><ul><li>Master's degree or PhD in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).</li><li>Experience in security threat or abuse detection.</li><li>Experience in one domain, such as anomaly detection, security threats analysis and investigation, time-series analysis, Cloud Application Programming Interfaces (APIs), or metrics and reporting.</li><li>Understanding of generative AI technologies, Large Language Models (LLMs) and AI agents.</li><li>Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.</li></ul><div><h2>About the job</h2><p>Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.</p><p>In this role, you will play a vital role in ensuring that Google Cloud’s Artificial Intelligence (AI) products are not only powerful but also safe, secure, and trustworthy. Your investigative skills, understanding of potential security harms, for user protection will help the teams solve testing problems in AI security and abuse at scale. You will proactively identify and mitigate emerging threats within the AI landscape, ranging from adversarial attacks to potential misuse of generative technologies. You will synthesize large datasets to uncover patterns of abuse, ensuring that Google's AI deployments remain resilient against sophisticated exploitation while upholding our responsibility for safe AI growth.</p><p>At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.</p><p>The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2>Responsibilities</h2><ul><li>Develop and deploy scalable safety solutions for Cloud AI products by leveraging advanced machine learning and AI techniques.</li><li>Use data analysis to discover and interpret how attackers exploit Cloud AI infrastructure or use Application Programming Interfaces (APIs) for abuse, identifying weak points in our systems.</li><li>Define what constitutes abuse in ambiguous or highly novel AI use cases, ensuring our guidelines adapt to AI-driven attacks.</li><li>Analyze and measure generative/agentic AI risks using benchmarking, dataset design, and scaled usage monitoring.</li><li>Drive the rapid response for high-priority AI security incidents, conducting through Root Cause Analyses (RCAs) to implement sustainable long-term solutions. Partner with Engineering and Product teams to identify, prioritize, and develop strategies against the most pressing and novel AI threats.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google

Senior Engineering Analyst, Trust and Safety, Cloud AI

Application Programming Interface (API)

Artificial Intelligence (AI) Agents

Benchmarking

Cloud Applications

Computer Security

Cross-Functional

Customer/Client Research

Data Analysis

Data Sets

Detail Oriented

Employee Benefits

Equal Employment Opportunity (EEO)

Establish Priorities

Google Apps

Google Search Engine

Malware

Metrics

Modeling Languages

Operations Research

Project/Program Management

Risk Management

Root Cause Analysis

SQL (Structured Query Language)

Security Analysis

Security Attacks

State Laws and Regulations

Statistics

Strategic Planning

Time Series Analysis

Trend Analysis

monster

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance </li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year</li></ul><h3>Minimum qualifications:</h3><ul><li>Bachelor's degree or equivalent practical experience.</li><li>2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.</li><li>Experience with one or more of the following languages: SQL or Python.</li></ul><h3>Preferred qualifications:</h3><ul><li>Master's degree in a quantitative discipline.</li><li>Experience with scripting language, machine learning tools, techniques and systems (including large language models).</li><li>Knowledge of current abuse techniques and practices.</li><li>Ability to work with a variety of stakeholders to gather requirements, explain models, and iterate to make improvements.</li><li>Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.</li><li>Excellent communication with an ability to describe technical implementations or analyses to a non-tech audience.</li></ul><div><h2>About the job</h2><p>Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.</p>As an Engineering Analyst within the Trust and Safety team, you will be part of a global team that ensures the seamless detection and enforcement of some of the most egregious online harms (e.g., child sexual abuse materials, non-consensual intimate imagery, violent extremism). Through close partnerships with Product, Engineering, Policy, and Legal, you will leverage your technical acumen to design and develop novel solutions to further Google’s ability to fight this abuse worldwide.At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.<div></div><div>The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2>Responsibilities</h2><ul><li>Perform data analyses to derive insights that help identify emerging threats and fight abuse across our products.</li><li>Identify opportunities for the improvement of Google’s detection and enforcement systems as well as for automation.</li><li>Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.</li><li>Analyze statistics (e.g., precision, recall) about the performance of technical models (ML systems, classifiers, LLMs) and recognize nuanced, easily missed problems in the performance of these systems.</li><li>Review or be exposed to sensitive or graphic content as part of core role.</li></ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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AI/ML Engineering Intern - 28587 Company Confidential

Senior Engineering Analyst, Trust and Safety, Cloud AI Google

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