Elaboration Likelihood Model Jobs in Usa

Head of GIA Investment Performance Measurement and Analytics

Investment Management

Full-Time

New York, NY, Boston, MA or Springfield, MA

The Opportunity

MassMutual Investment Management (IM) seeks a seasoned investment management and operations professional to lead the investment performance function for MassMutual’s General Investment Account (GIA). This role reports to the Head of Manager Oversight and will:

• Design, and oversee implementation of models, policies, and procedures for a best-in-class performance and attribution reporting function.
• Help drive strategy and execution of investment performance measurement, attribution, and reporting programs supporting MassMutual’s Board, CIO, and other key stakeholders.
• Help shape market commentary and attribution narratives for internal and external stakeholders, including affiliate managers and GPs.
• Complete the feedback loop for MassMutual Investment Management in the performance space by collaborating with teams supporting product profitability analysis and PMs managing ALM and capital allocation decisions.

The Team

The Manager Oversight team is part of IM’s Strategy and Governance organization, reporting to MassMutual’s CIO. The team oversees IM’s asset manager relationships and functions, including manager operational due diligence, investment mandate onboarding & lifecycle management, and investment performance. Adjacent teams handle business strategy and planning, vendor oversight, investment compliance, and investment reporting for MassMutual’s Board & Investment Committee.

The Impact and Key Responsibilities:

Lead MassMutual’s investment performance measurement, attribution, and reporting function for a $250B+ General Investment Account (GIA). In this role you will be on the starting line to help influence, design and implement a state-of-the-art performance measurement and attribution capability. This senior leadership role requires strategic planning, influence, executive visibility, and the opportunity to transform performance analytics and attribution capabilities for a prestigious insurance company.

• Evolve existing practices and refresh methodologies, assumptions, and models to introduce new and industry best practice approaches for presenting performance across products, asset classes, and instruments.
• Lead strategic platform rationalization and evaluate performance engines to enhance analytics.
• Provide technical expertise in portfolio management, finance, capital markets, and investment performance reporting, guiding decisions to align with market standards.
• Contribute to portfolio reporting and attribution by applying experience across asset classes and investment strategies, ensuring liability-driven investment strategies and ALM models are accurately derived and validated.
• Collaborate directly with portfolio managers and lead teams to achieve strategic alignment across functions, simplifying complex income and return objectives under liability constraints while maintaining precision and accuracy in reporting.
• Manage the evolution of the program to maximize total-portfolio view and coverage for GIA reporting, expanding capabilities important to investment team members.
• Help develop a long-term roadmap to unlock value and greater ROI for the Performance program, including performance monitoring as a compensating control for financial reporting.
• Help drive the development of reporting standards for leadership and Board materials, framing investment successes, market impacts, and risk-adjusted performance drivers.
• Help with the design of data integration between IBOR/ABOR systems and performance engines to optimize data validation, reporting efficiency, and portfolio transparency.
• Lead strategic initiatives to align performance reporting with insurance industry practices, NAIC classifications, and risk-based capital requirements, ensuring compliance and strategic flexibility.
• Serve as a trusted advisor to the CIO and Senior Leadership Team, influencing investment strategy communication and Board-level reporting.

The Minimum Qualifications

• Bachelor’s degree in STEM, Finance-Accounting, Actuarial Science, or related field.
• 10+ years in investment management with progressive experience focusing on performance measurement, attribution, and reporting.
• 5+ years in leading teams and/or investment strategy and decision-making for an asset owner, allocator or investment advisor, in a role focused on: investment performance, attribution and analysis; portfolio management; product management or research; portfolio strategy or securities research [investment selection].
• Experience with liability-driven investment strategies, including ALM frameworks, duration matching, and immunization techniques.
• Experience designing, building, and calibrating investment return, valuation, or risk models for capital allocation in multi-asset portfolios.
• Advanced Excel and quantitative modeling; familiarity with GIPS® standards and compliance; strong understanding of risk-adjusted return metrics (TWR, IRR, Brinson attribution, factor attribution).
• Ability to integrate cash flow projections and liability schedules into performance analytics; can source index and reported market yields or returns as benchmarks, model, select “best-fit,” and defend rationale in Q&A with investment professionals.
• Deep knowledge of fixed income, structured credit, private credit, and alternative investments; understanding of insurance asset management and regulatory frameworks; working knowledge of NAIC and statutory accounting preferred.
• Expertise in designing attribution models that incorporate liability benchmarks; ability to optimize portfolios for duration and convexity matching; strong leadership and stakeholder engagement across investment, actuarial, and risk teams.
• Proven ability to establish and maintain strong relationships with peers and key partners throughout the organization and in their external, professional networks.

Familiar with full spectrum of geographic and credit risk demographics: IG, HY, and Distressed; NA, EMEA, APAC; Developed or Emerging Markets.

Technical Skills Covering:

• Multi-Asset (total portfolio) Total-Return Presentation and Public Market Benchmark Selection
• Relative-Spread, Relative-Yield, and Relative-Market/Index Return Comps (Alts-Benchmarks)
• Bond-Factor Analytics (and to a lesser extent, Equity-Factors)
• Duration-Adjusted Return Modeling
• Portfolio Hedge Attribution: Global Asset-Country and FX Risk; Key-Rate Risk: Default Risk

The Ideal Qualifications

• Master’s degree in STEM, Finance, Quantitative Analytics, or MBA; CPA or actuarial credentials for ALM depth a plus.
• CFA, CIPM or equivalent designation strongly preferred; CAIA or FRM a plus.
• Deep familiarity with Global Investment Performance Standards (GIPS®); experience managing GIPS verification and composite construction for liability-driven portfolios.
• Proven ability to implement automation for performance and ALM reporting; experience with data governance and integration of liability projections into performance dashboards.
• Experience configuring, and testing platforms integrated across the investment ecosystem, such as Performance Engines (SS&C Advent Geneva/APX, Eagle Performance, Clearwater Analytics), Portfolio Management and IBOR Platforms (BlackRock Aladdin, SimCorp Dimension, Charles River IMS), ALM & LDI Tools (Bloomberg PORT, proprietary actuarial systems, Beacon), and Instrument Cashflow and CP-Credit Risk Modeling Services (Intex, Moody’s, S&P).
• Experience implementing BlackRock PBOR

Experience with majority of investments or instruments in: Gov & Corporate Debt, Bank Loans, PE Sponsor and Non-Sponsored Mid-Market Loans and Private Credit, Commercial & Residential Real Estate Debt, Consumer/Retail and Real Estate ABS, Structured ABF, Structured Credit, CLOs/CDOs, Municipal Bonds, Private LP’s, Direct-PE.

Technical Skills Covering:

• Private Equity & Equity-Pacing Models
• Cash-Weighted Returns (IRR and realized-CF holding-period yield)
• Capital-Multipliers (for closed & evergreen portfolios/private-alts strategies)

#LI-LC1

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

AI & Data - AI Strategy - Senior Manager - Oil & Gas Sector

As part of our growing AI & Data practice, we are seeking a highly experienced Senior Manager to lead enterprise AI strategy and quantitative modeling efforts for our clients in the Oil & Gas sector. This individual will bring deep industry expertise, along with a proven track record of designing and operationalizing responsible, scalable, and value-aligned AI solutions. You’ll lead high-impact client engagements focused on Generative AI, Agentic AI, MLOps, and AI governance frameworks — driving measurable outcomes in upstream, midstream, and downstream operations.

As a Senior Manager in AI Strategy, you will leverage proprietary, industry-aligned business models and innovative operating model designs to deliver impactful AI investments. You will be responsible for capability assessments, operating model design, product management, governance, and process design, ensuring that AI initiatives align with business strategies and stakeholder needs.

In this role, you will lead the delivery of complex AI strategies that enhance business effectiveness and efficiency. You will work closely with clients to envision how AI can transform their markets, products, and capabilities. This position offers the opportunity to engage with business and technology leaders, driving strategic programs that significantly impact their operations.

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• Lead engagement delivery, ensuring quality and risk management throughout the project lifecycle.
  
• Manage client relationships, focusing on revenue generation and the identification of new opportunities.
  
• Develop and manage resource plans and budgets for engagements, ensuring alignment with performance objectives.
  
• Define and implement enterprise-wide AI and quantitative modeling strategy tailored to oil & gas value chains (e.g., asset optimization, drilling, trading, predictive maintenance).
  
• Establish AI governance frameworks that ensure responsible AI adoption, ethical use of data, model risk management, and alignment with evolving regulations.
  
• Design and operationalize Agentic AI solutions to automate reasoning, planning, and decision‑making tasks in complex environments.
  
• Drive the prioritization of AI use cases based on business value, feasibility, and risk, ensuring ROI on AI initiatives.
  
• Lead multidisciplinary teams of data scientists, engineers, and consultants to deliver end‑to‑end AI platforms and solutions.
  
• Partner with senior business and IT leaders to identify strategic opportunities and shape AI‑enabled business transformation.
  
• Implement and scale ModelOps and MLOps practices, ensuring transparency, reproducibility, and monitoring of models in production.
  
• Lead AI solution architecture, including hybrid deployments on cloud (e.g. Microsoft Azure, Amazon AWS).
  
• Serve as a thought leader in emerging AI technologies, including Generative AI, foundation models, RAG and Agentic AI.
  
• Drive internal capability building and innovation in Responsible AI, agentic workflows, and energy sector‑specific solutions.
  

To excel in this role, you will need a blend of technical and interpersonal skills. Your ability to navigate complex challenges and deliver innovative solutions will be crucial.

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• Strong analytical and decision‑making skills to develop solutions to complex problems.
  
• Proven experience in managing client relationships and leading teams.
  
• Ability to communicate effectively and influence stakeholders at all levels.
  

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• Bachelor’s degree required; Master’s degree preferred with focus in Computer Science, Applied Math, or related field with prior consulting experience required.
  
• 10+ years of experience in technology consulting, digital transformation, or AI‑driven business solutions.
  
• 5+ years of leadership in AI/ML projects, including team management and executive stakeholder engagement.
  
• Typically, no less than 5 — 7 years of relevant experience.
  
• Strong expertise in AI Platforms and Tools.
  
• Proficiency in Data Architecture Design and Modelling.
  
• Experience in Digital Transformation and IT Effectiveness Assessment.
  
• Knowledge of Emerging Technologies and Technology Strategy, Vision, and Roadmap.
  
• Ability to build and manage relationships effectively.
  
• Strong exposure to oil & gas industry operations, value levers, and use case landscape.
  
• Proven success in developing AI strategy and governance models, including frameworks for Responsible AI, risk, and compliance.
  
• Hands‑on experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain, RAG).
  
• Experience architecting and scaling MLOps platforms and data science workflows in cloud‑native environments.
  
• Proficiency in Python and tools like Pandas, PyTorch, Scikit‑learn, Spark, SQL.
  
• Experience with CI/CD, containerization (e.g., Docker, Kubernetes), and MLFlow or similar tools.
  
• Strong client‑facing skills with the ability to articulate technical topics to business executives.
  

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• Experience in managing change and leading teams.
  
• Strong negotiation and influencing skills.
  
• Familiarity with sector knowledge and commercial acumen.
  
• Prior experience leading AI initiatives in the energy or oil & gas sector, including exploration, refining, or energy trading.
  
• Familiarity with agentic AI concepts, cognitive architectures, and autonomous agents.
  
• Working knowledge of ESG data, climate risk modeling, and regulatory trends in energy.
  
• AI certifications (Microsoft, AWS, NVIDIA, Databricks, or equivalent).
  
• Exposure to agile delivery models and design thinking approaches.
  

We seek individuals who are not only skilled but also passionate about driving innovation and transformation through AI. Top performers are those who can think critically, solve complex problems, and communicate effectively with diverse stakeholders. If you are eager to make a significant impact and thrive in a collaborative environment, we want to hear from you!

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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  We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

  
  
  
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  Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

  
  
  
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  Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

  
  
  

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

Job Description

We are seeking a highly skilled and experienced Lead AI Engineer to join our dynamic team. The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

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• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
  
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
  
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
  
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
  

This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities

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• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
  
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
  
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
  
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
  
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
  
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
  
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
  
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.
  
• Provide leadership and mentorship to team members, supporting their technical development and career growth through coaching, training, and performance feedback.
  
• Drive timely and successful completion of AI/ML projects by setting clear milestones, tracking progress, removing blockers, and aligning resources
  

Required Qualifications

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• Bachelor's degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
  
• 5+ years of proven experience developing and deploying production-grade AI/ML systems.
  
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
  
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
  
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
  
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
  
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
  
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.
  

Preferred Qualifications:

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• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
  
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
  
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
  
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
  
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
  
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
  
• Experience in regulated industries or environments requiring strict compliance and data governance standards.
  

Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

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• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

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• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
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  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

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• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

The Opportunity

The Institute of Simulation and Training (IST) at the University of Central Florida (UCF) is seeking applicants for a full-time, 12-month, non-tenure earning, digital asset and engineer-oriented, research position.This is a full-time Contract and Grants (C&G)-based faculty position to support ongoing federally sponsored research in a long-standing and agile R&D lab. For information about the Institute for Simulation and Training and the Orlando area, see .

We are searching for an Assistant In Digital Asset Research and Production Engineer with expertise in computer visualization, 3D modeling, and immersive technologies to support the design, development, and implementation of next-generation visual simulations and intelligent training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems.

This position requires an experienced researcher who will work both independently and as a team member to design, develop, modify, test, document, and maintain simulation software products.

Key Responsibilities

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• Design, develop, and implement 3D environments, frameworks, and prototypes for high-fidelity visual simulations and applications.

  
  

• Apply 3D models, advanced character mesh techniques, and physics-based simulation methods to enhance realism and interactivity in diverse domain systems and applications.

  
  

• Work with interdisciplinary teams including engineers, cognitive scientists, and domain experts to define research objectives, design experiments, and analyze results.

  
  

• Create prototypes and capabilities demonstrators to showcase IST's expertise aligned with trends and opportunities.

  
  

• Design and execute hands-on demonstrations and exhibits at strategic events.

  
  

• Perform data collection in the form of LiDAR, photogrammetry, and other advanced techniques to evolve advanced terrestrial-based synthetic environments.

  
  

Minimum Qualifications:

A master's degree from an accredited institution in a field related to modeling and simulation and two years of related professional experience or a bachelor's degree from an accredited institution in a field related to modeling and simulation and five years of related professional experience.

Significant experience or education required in at least three of the following areas:

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• 3D modeling tools such as Adobe Substance, Creator, Blender, or 3D Studio Max

  
  

• AutoDesk software systems

  
  

• Geospatial algorithms

  
  

• 3D game engine modeling formats

  
  

• Character and model rigging using modern game engine approaches (Unity, Unreal)

  
  

• Modern terrain generation software

  
  

Preferred Qualifications:

Experience or education is preferred in any of the following areas:

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• OpenFlight file format and visual database correlation.

  
  

• NIMA data processing

  
  

• Cartography

  
  

• 3D Model/Character creation for modern game engines.

  
  

• Digital twin creation

  
  

• Data acquisition through ground-based LiDAR-based systems such as Leica or Faro systems

  
  

• Intrinsic game engine API scripting capabilities such as C# and/or Python

  
  

• Familiarity with understanding of producing correlated geospecific terrain

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

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• A curriculum vitae.

  
  

• A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest.

  
  

NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed to: Dean Reed at .

Special Instructions to the Applicants:

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Position requires U.S citizenship for a University-sponsored application for a security clearance. This position is funded by contract and grant sources and is contingent upon available funding.

Job Close Date:

Open until filled.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

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• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.

  
  

• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.

  
  

• Retirement savings options.

  
  

• Employee discounts, including tickets to many Orlando attractions.

  
  

• Education assistance.

  
  

• Flexible work environment.

  
  

• And more...For more benefits information, view the UCF Employee Benefits Guideclick here.

  
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.

The Opportunity

The University of Central Florida (UCF) has established several interdisciplinary faculty research clusters to strengthen its academic offerings and research mission. In support of this effort, we invite candidates for two (2) tenure-earning assistant professor, tenured associate professor, or tenured professor positions with the university research center on Resilient, Intelligent, and Sustainable Energy Systems (RISES). The positions have an anticipated start date of August 8, 2026.

These are interdisciplinary positions that will be expected to strengthen both the RISES Center and a chosen tenure home department and may include a combination of joint appointments. A strong advantage of this position is the ability of the candidate to choose multiple units for their joint appointment in the College of Engineering and Computer Science, the College of Sciences, or both.

All candidates whose research are at the forefronts of energy systems, resilience, and sustainability will be considered. The technical fields of specific research interest for the two positions include but are not limited to:

Position # 1- Sustainable Energy Systems: Non-Combustion (Host Department: Mechanical and Aerospace Engineering):

An ideal candidate will have extensive expertise in pathways for novel processes of electric power generation and storage that do not involve combustion. The selected candidate should be proficient in process design, characterization, and modeling of low carbon electricity generation technologies that ensure access to affordable, reliable, and sustainable power for all. We seek candidates with a strong foundation in fluid mechanics, thermodynamics, heat and mass transfer, and energy systems engineering, and a demonstrated research record in non-combustion-based electric power generation and/or energy storage.

Areas of particular interest include, but are not limited to:

• 
  

• Advanced nuclear energy systems, including small modular reactors (SMRs), microreactors, molten salt reactors, liquid metal reactors and high-temperature gas cooled reactors, especially those supporting grid resilience.

  
  

• Hydrogen production and storage, particularly hydrogen derived from nuclear or natural gas with carbon capture (blue hydrogen).

  
  

• Thermal energy storage and high-efficiency heat exchangers for industrial and grid-scale applications.

  
  

• Electrochemical systems, including next-generation batteries and fuel cells for defense, aerospace, and critical infrastructure.

  
  

• Energy generation and storage systems modeling, optimization, and control, with emphasis on reliability, affordability, and national security.

  
  

• Experimental platforms for high-temperature, high-pressure energy systems.

  
  

• Risk-informed design of energy infrastructure.
  

  
  

Candidates should demonstrate the ability to lead an independent, externally funded research program and contribute to interdisciplinary collaborations. A strong record of peer-reviewed publications, mentorship, and engagement with industry, national laboratories, or large-scale research initiatives is highly desirable. Experience with computational tools (e.g., CFD, FEA, system-level modeling) and/or experimental platforms for energy systems is expected.

Position # 2 - Machine Learning and AI for Energy Systems (Host Department: Computer Science and possibly Electrical and Computer Engineering Department):

An ideal candidate would have extensive experience applying modern machine learning techniques to solving complex problems within the energy systems. The candidate should have a strong foundation in deep learning techniques (including convolutional neural networks, recurrent neural networks and multi-head attention models). An experience with specialized foundation models is a plus.

Areas of interest include but are not limited to:

• 
  

• Energy market and load/generation forecasting, including short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling.

  
  

• Distributed infrastructure resource management, including data-driven modeling and coordination of interdependent infrastructure systems and their subsystems (such as networks of transportation, gas, electricity grid), multi-agent reinforcement learning for distributed coordination and demand response optimization using AI.

  
  

• Distributed infrastructure system optimization, such as real-time optimization of interdependent infrastructure and energy systems using AI and advanced control methods, hybrid physics-informed and data-driven modeling and control for stability and flexibility.

  
  

• Energy system resiliency research, including detection of faults and cyber-attacks, outage prediction under extreme conditions, resilient cybersecurity solutions, and self-healing algorithms.
  

  
  

Candidates should demonstrate not only extensive experience in deep learning, reinforcement learning, and unsupervised learning but also evidence in interdisciplinary, human-centric, community-based, and data-driven research on energy systems.

Successful candidates will have research impact as reflected in high-quality publications and the ability to build a well-funded and sustainable research program. We are looking for team players who can further enhance our strong campus-wide efforts in energy systems research. The positions will carry ranks commensurate with the candidate's prior experience and record.

UCF is one of the nation's largest universities with a diverse student body of nearly 70,000 students and has grown substantially in size, quality, diversity, and reputation. Today, the university offers more than 240 degree programs. In 2019, UCF was officially recognized as a Hispanic Serving Institution (HSI) by the U.S. Department of Education and a "Green College" by the Princeton Review for our efforts in sustainability and environmental responsibility. UCF's students represent all 50 states and over 120 countries. UCF is in a centralized location that is 30 minutes to Walt Disney World and Universal Orlando and 60 minutes to the beach. UCF has 16 sports teams, including football, soccer/futbol, tennis, volleyball, and 600+ cultural, academic, and social student clubs and organizations all led by faculty mentors. In addition, UCF has several associations for faculty and staff, among them, the Black Faculty and Staff Association (BFSA), the Latino Faculty and Staff Association (LaFaSA), and the PRIDE Faculty and Staff Association. UCF received the 2019 Higher Education Excellence in Diversity (HEED) Award from INSIGHT Into Diversity magazine, which recognizes U.S. colleges and universities that demonstrate an outstanding commitment to diversity and inclusion.

The Carnegie Foundation has classified UCF as an R1 Doctoral University for its high research activity and community engagement. This past fiscal year, UCF brought in nearly $205M. The RISES center is one of nation's very top university research centers as measured by federal funding. For the fifth consecutive year, UCF has been recognized among the nation's most innovative universities according to U.S. News & World Report while Kiplinger's and The Princeton Review have ranked UCF as one of the nation's best values for a college education.

UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. UCF's Orlando location also puts it at the center of the Florida High Tech Corridor. The corridor has an excellent industrial base that includes software, defense, space, simulation and training, and a world-renowned entertainment industry. Adjacent to UCF is a thriving research park that conducts over $2 billion in funded research, hosting more than 100 high-technology companies and UCF's School of Modeling, Simulation, and Training. UCF also has an accredited medical school which was established in 2006 and is a neighbor to the VA, Nemours, and the UCF Lake Nona Medical Center, all of which have a strong interest in sustainable energy systems research and demonstration. Great weather, easy access to the seashore, one of the largest convention centers in the nation, and one of the world's best airports are just a few features that make Orlando an ideal location. We encourage you to learn more about UCF at faculty.

Minimum Qualifications:

• A Ph.D. or foreign degree equivalent from an accredited institution, in an area appropriate to the RISES center at the time of appointment. The selected candidate must also have a record of high impact research related to energy systems, demonstrated by a strong scholarly and/or funding record.

• In order to obtain tenure upon hire, the selected candidate must have a demonstrated record of teaching, research and service commensurate with rank in the tenure department.

Preferred Qualifications:

• 
  

• Past work experiences in a national lab and/or industry are desired.

  
  

• A history of working with teams, especially teams that span multiple disciplines, is a strongly preferred qualification.

  
  

• Prior work experience with energy storage systems is highly preferred.

  
  

Additional Application Materials Required:

UCF requires all applications and supporting documents be submitted electronically through the Human Resources employment opportunities website, jobs/. In addition to the online application, interested candidates should upload the following:

• A curriculum vitae.

• 
  

  A letter of interest describing qualifications for the position, such as research agenda and teaching experience/interest. In the letter candidates must include:

  
  
  • 
    

  • their background in research and scholarship in or related to the areas noted in the job description above.

    
    

  • specifically highlight their interdisciplinary approach to research.

    
    

  • specify which position they are applying to and which department they plan to reside.

    
    
  
  

• 
  

• A teaching statement.

  
  

• A research statement.

  
  

NOTE: Please have all documents ready when applying so they can be attached at that time. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later.

The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials.

Questions regarding this search should be directed toDr. Zhihua Qu at .

Special Instructions to the Applicants:

Candidates needto specify in their cover letters which position they are applying to and which department they plan to reside.

Sponsorship for employment-based visas will only be considered under exceptional circumstances and is not guaranteed. Preference will be given to candidates who are currently authorized to work for any employer in the United States.

Job Close Date:

Open until filled

Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position.

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Working at UCF has its perks!UCF offers:

• 
  
• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.
  
• Paid time off, including annual (12-month faculty) and sick time off and paid holidays.
  
• Retirement savings options.
  
• Employee discounts, including tickets to many Orlando attractions.
  
• Education assistance.
  
• Flexible work environment.
  
• And more...For more benefits information, view the UCF Employee Benefits Guide click here.
  

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

Work Schedule

Type of Appointment

Expected Salary

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .