Explore 4 java developer associate jobs from 3 hiring companies in McMechen, WV, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Java Developer Associate

Wheeling

Moundsville

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Java Developer Associate Jobs

Carnegie Mellon University

PNC Financial Services

RAND

Software Engineering Institute

Onsite

Hybrid

<h1>Position Overview</h1>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Software Engineer Associate within PNC's Retail Tech Employee Chan/Del organization, you will be based in Birmingham, AL or Pittsburgh, PA. Requirements: • Basic programming experience in one or more languages such as Java, Python, C#, or JavaScript. • Understanding of software development fundamentals (OOP, data structures, algorithms). • Familiarity with databases and basic SQL. • Knowledge of version control systems such as Git. • Strong problem solving and analytical skills. • Ability to work effectively in a team environment. • Strong attention to detail and willingness to learn vulnerability management processes. • Ability to help track vulnerability remediation activities and follow up on open items. • Strong organizational skills with the ability to update tracking systems and maintain accurate records. • Solution oriented mindset with the ability to ask questions, identify blockers, and support next steps. • Basic understanding of application support, infrastructure, databases, or software development concepts. • Basic problem solving and analytical skills, with a willingness to learn technical and risk related processes.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.<h1>Job Description</h1><ul><li>Assists in the development, testing, and implementation of software solutions.</li><li>Assists with designing software solutions.</li><li>Writes code, tests and deploys software.</li><li>Prepares technical and procedural documentation required for software.</li><li>Maintains and debugs software.</li></ul>PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:<ul><li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li><li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC&#39;s Enterprise Risk Management Framework.</li></ul><h1>Qualifications</h1>Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.<h2>Preferred Skills</h2>Application Development, Business Management, Customer Solutions, Design, Group Problem Solving, Process Improvements, Release Management, Software Solutions, User Experience (UX) Design<h2>Competencies</h2>Application Design, Architecture, Application Development Tools, Application Maintenance, Application Testing, System Development Life Cycle, Technical Writing/Documentation<h2>Work Experience</h2>Roles at this level typically require a university / college degree with &lt; 1 year of professional experience and/or successful completion of a formal development program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.<h2>Education</h2>Bachelors<h2>Certifications</h2>No Required Certification(s)<h2>Licenses</h2>No Required License(s)<h1>Benefits</h1>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit <a target="_blank" href="http://pncthrive.com">pncthrive.com</a>.<h1></h1><h1>Disability Accommodations Statement</h1>If an accommodation is required to participate in the application process, please contact us via email at <a href="mailto:AccommodationRequest&#64;pnc.com" target="_blank">AccommodationRequest&#64;pnc.com</a>. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say &#34;Workday&#34; for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.<h1>Equal Employment Opportunity (EEO)</h1> PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.<h1>California Residents </h1>Refer to the <a href="https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf" target="_blank">California Consumer Privacy Act Privacy Notice</a> to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Software Engineer Associate

Basic programming experience in Java, Python, C#, or JavaScript; knowledge of OOP, data structures, and algorithms; SQL basics; Git; strong problem solving and teamwork.

<div><div>At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. </div><div>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we </div><div><ul><li>build real-world, mission-scale AI capabilities through solving practical engineering problems </li></ul></div><div><ul><li>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities </li></ul></div><div><ul><li>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities </li></ul></div><div><ul><li>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape   </li></ul></div><div>Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.   </div><div>Overview: As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. </div><div> </div><div>The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.  </div><div> </div><div>The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: </div><div><ul><li>Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.   </li></ul></div><div><ul><li>AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques. </li></ul></div><div><ul><li>Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. </li></ul></div><div> </div><div>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. </div><div> </div></div><div><div>Your day-to-day engineering tasks will include: </div><div><ul><li>Identifying and investigating emerging AI and AI-adjacent technologies. </li></ul></div><div><ul><li>Defining and refining processes, practices, and tools for working with AI. </li></ul></div><div><ul><li>Designing and building well-engineered prototypes of AI systems. </li></ul></div><div><ul><li>Transitioning and providing guidance on AI capabilities to government sponsors. </li></ul></div><div> </div><div>Duties </div><div><ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C&#43;&#43;, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.    </li></ul></div><div><ul><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. </li></ul></div><div><ul><li>Testing and evaluation. You&#39;ll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You&#39;ll evaluate systems for performance and security. You&#39;ll test capabilities using novel testing and analysis techniques. </li></ul></div><div><ul><li>Collaboration. You&#39;ll actively participate on teams of developers, researchers, designers, and technical leads. You&#39;ll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. </li></ul></div><div><ul><li>Mentoring. You&#39;ll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. </li></ul></div><div> </div><div>Knowledge and Experience </div><div><ul><li>Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required </li></ul></div><div><ul><li>A track record of using well-established engineering practices to solve difficult problems </li></ul></div><div><ul><li>An understanding of how to convert research results into functioning prototypes or capabilities </li></ul></div><div><ul><li>Experience leading technical projects in novel areas with limited previous work to build upon </li></ul></div><div><ul><li>Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms </li></ul></div></div><div><div><ul><li>Ample experience with publishing written or technical artifacts showcasing your work </li></ul></div><div><ul><li>Strong collaboration skills for working with colleagues and sponsors  </li></ul></div><div><ul><li>Willingness to guide and mentor junior team members </li></ul></div><div> </div><div> </div><div>Requirements </div><div><ul><li>A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline.  </li><li>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.</li></ul></div><div><ul><li>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.   </li><li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences. </li></ul></div></div>LocationArlington, VA, Pittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull time/Part timeFull timePay BasisSalary<h2>More Information: </h2><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul>

Associate Machine Learning Engineer - Secure AI Lab

Associate Machine Learning Engineer

Bachelor's in CS/stats/ML/EE with 3+ years experience; or MS with 1+ year; or PhD in a related field. Willing to work onsite in Pittsburgh, PA or Arlington, VA.

Job Type: Term (Fixed Term)<div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>OverviewRAND’s <a href="http://www.rand.org/global-and-emerging-risks/centers/ai-security-and-technology.html" target="_blank">Center on AI, Security, and Technology (CAST)</a>, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies—including artificial intelligence and biotechnology—to shape policies that protect global security and advance the public good.  Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&amp;D. Your work will inform analysis delivered to senior government and industry leaders.You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the <a href="https://www.rand.org/pubs/research_reports/RRA2849-1.html" target="_blank">Securing AI Model Weights</a> report, which explored protecting frontier AI models from theft and misuse.This position is structured as a three-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter.RAND&#39;s reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As an Associate AI Security Resident, you&#39;ll maintain that excellence while engaging with some of the most pressing challenges of our time.QualificationsAll research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND&#39;s core values of quality and objectivity.Required:<ul><li>Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields</li><li>Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members</li><li>Demonstrated ability to successfully lead complex projects to completion</li><li>Proficiency in Python, Java, C/C&#43;&#43;, or other popular programming languages</li><li>Ability to develop rigorous and comprehensive <a href="https://increment.com/security/approachable-threat-modeling/" target="_blank">threat models</a> and identify potential system vulnerabilities</li><li>Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences</li><li>Ability to reason about policy options given different technical considerations</li><li>Ability to work effectively in a collaborative, multidisciplinary environment</li><li>Fluency with MS Office suite</li></ul>Preferred:<ul><li>Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience</li><li>Experience with red team operations or offensive cyber capabilities development</li><li>Understanding of <a href="https://en.wikipedia.org/wiki/Advanced_persistent_threat" target="_blank">advanced persistent threat</a> (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them</li><li>Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations</li><li>Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes</li><li>Experience working in or with government on cybersecurity policy</li><li>Experience with advising non-technical stakeholders on security topics</li><li>Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design)</li><li>Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray)</li><li>Experience working on AI research, ML model training, or model deployment</li><li>Experience with securing AI systems</li></ul>Education RequirementsRAND is hiring multiple Visiting AI Security Residents at associate I and associate II levels of experience. Minimum education requirements at the associate I level include:A BS in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar AND 1 year AI-focused real-world experience is required.ORA Master’s degree in the fields listed above is required.Security ClearanceAbility to obtain and maintain a U.S. government clearance is preferred but not required.LocationWe are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered.Writing or Code SampleEither a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master’s thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.TermThis position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment.Salary Range: Visiting Technical Associate I &#61; $90,400 - $134,400Visiting Technical Associate II &#61; $121,700 - $176,500RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate’s work experience, education/training, skills, expertise; and internal equity. Successful candidates will be offered employment in a specific title, as determined by the candidate’s education and experience. The salary range includes base pay plus RAND’s sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.<div>#LI-DNI</div></div></div></div></div></div></div></div></div></div>Equal Opportunity Employer

Associate AI Security Resident

Technical security/engineering background; leadership experience; programming in Python/Java/C/C++; threat modeling; strong communication; policy analysis; collaboration; MS Office.

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!The PLUS - Personalized Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University, aims to double the rate of math learning in middle school students, particularly those historically underserved. This project is operated in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger.Our program features a hybrid tutoring platform that combines human and AI tutoring to deliver personalized learning for each student. We currently work with Pennsylvania, Maryland, and California school districts, with over a dozen schools on the waitlist. Our team consists of diverse individuals with backgrounds ranging from experienced educators, researchers, and engineers with prior experience in high-tech organizations to small startups, and we operate in a fast-paced and fun environment.We seek an enthusiastic individual with a keen interest in exploring the role of technology in educational settings. Our work intersects with Artificial Intelligence, Learning Sciences, and Human-Computer Interaction. As a member of our team, you will play a crucial role in advancing our research by contributing to the improvement of tools designed to enhance the effectiveness of tutors in aiding students during their learning sessions. This position offers the unique opportunity to collaborate with and learn from experts at CMU and Stanford. Your contributions will be instrumental in our goal of providing equal educational opportunities to students from varied socio-economic backgrounds. The ideal candidate will be naturally inquisitive and capable of independently identifying and pursuing research questions that emerge during their work, with an emphasis on deriving meaningful insights and contributions.Core Responsibilities<ul><li>Preprocessing of data and feature engineering to develop tools for tutors</li><li>Conducting statistical and quantitative data analysis</li><li>Analyzing experimental data</li><li>Developing and Deploying of AI/ML models for PLUS Toolkit</li><li>Applying mixed methods analysis of qualitative and quantitative data</li></ul>Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University.  We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.Qualifications:<ul><li>Bachelor’s Degree required.</li><li>Previous research lab experience required.</li><li>Effective data visualization and communication skills.</li><li>Statistical analysis experience with R/Python/equivalent.</li><li>Experience with Python/Java, including AI/ML packages.</li><li>Experience working with educational data is a plus.</li><li>Some prior publication experience is a plus.</li><li>A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.</li></ul>Requirements:<ul><li>Successful completion of a pre-employment background check</li></ul>Joining the CMU team opens the door to an array of exceptional benefits.<a href="https://www.cmu.edu/hr/benefits/eligibility/index.html" target="_blank">Benefits eligible</a> employees enjoy a wide array of benefits including <a href="https://www.cmu.edu/hr/benefits/health-welfare/index.html" target="_blank">comprehensive medical, prescription, dental, and vision insurance</a> as well as a generous <a href="https://www.cmu.edu/hr/benefits/retirement-savings/index.html" target="_blank">retirement savings program</a> with employer contributions. Unlock your potential with <a href="https://www.cmu.edu/hr/benefits/tuition/index.html" target="_blank">tuition benefits</a>, take well-deserved breaks with ample <a href="https://www.cmu.edu/hr/benefits/time-away/pto.html" target="_blank">paid time off</a> and observed <a href="https://www.cmu.edu/hr/benefits/time-away/holidays.html" target="_blank">holidays</a>, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <a href="https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html" target="_blank">Family Concierge Team</a> to help navigate childcare needs, <a href="https://athletics.cmu.edu/recreation/facilities" target="_blank">fitness center access</a>, and much more!For a comprehensive overview of the benefits available, explore our <a href="https://www.cmu.edu/hr/benefits/index.html" target="_blank">Benefits page</a>.At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.Are you interested in an exciting opportunity with an exceptional organization?! Apply today!LocationPittsburgh, PAJob FunctionResearchersPosition TypeStaff – Fixed Term (Fixed Term)Full Time/Part timePart timePay BasisHourlyMore Information: <div><div><div><div><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul></div></div></div></div>

Research Associate, Data Science and AI Focus - School of Computer Science - HCII

Research Associate

Bachelor’s degree; prior research lab experience; strong data viz and communication; statistical analysis with R/Python; Python/Java with AI/ML packages.

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