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Essential Responsibilities:
Expected Qualifications:
Key Responsibilities:
Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques
Design novel architectures and training methodologies for domain-specific language models in financial services
Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale
Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance
Deploy foundation models into production environments to drive business insights and enhance customer experiences
Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions
Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions
Mentor junior researchers and contribute to technical strategy for foundation model initiatives
Preferred Qualifications:
PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent
1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)
Deep expertise in transformer architectures, attention mechanisms, and modern training techniques
Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)
Strong background in NLP, deep learning, and statistical machine learning
Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
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Join our Enterprise Support Services team and you’ll be an integral part of our business enablement function that keeps our organization running strong. You’ll use your interpersonal and communication skills (verbal and written) to interface with employees at all levels. As an Executive Support Coordinator Manager, Supervising Associate, you’ll work across teams to provide the supervision, knowledge, resources and tools that help EY deliver exceptional quality service to our clients, win in the marketplace and support EY growth and profitability.
You’ll implement administrative strategic plans as well as maintain performance measurements for a customer base of 650-1,500 people. You’ll also monitor financial and operational performance in accordance with established administrative services parameters. We’ll look to you to effectively lead and develop individuals and teams by using people management processes and tools that involve staffing, training, supervising, coaching and performance management to achieve optimal performance. You’ll be part of a high-performing, diverse and inclusive team sharing best practices.
Your key responsibilities
Skills and attributes for success
To qualify for the role, you must have
Ideally, you’ll also have
What we offer 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 .
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As an Executive Administrative Coordinator, you will provide high-level, functionally specialized administrative, project and operational support to multiple executives of the firm who hold designated leadership positions. You will be closely aligned and integrated with the operations, strategies and business objectives of senior leaders with visibility across their network. You will proactively identify the needs and challenges of the executive, identifying effective solutions and ensuring that all necessary preparations and support are in place to enable the executive's success. You will track, coordinate and execute on confidential projects, applying judgment and selecting methods for meeting objectives. As a representative of the executive leaders, you will foster sophisticated relationships and interact with internal and external clients and stakeholders.
Your key responsibilities
Skills and attributes for success
To qualify for the role, you must have
Ideally, you’ll also have
What we offer 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 .
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This role requires advanced account review and problem solving skills. Primary responsibilities include loss mitigation of delinquent or charged accounts. Navigates a computerized data entry system and other relevant applications. They understand account terms, regulatory and compliance requirements that apply to the process and are able to work within these guidelines. Also, must adhere to internal operational and financial controls and ensures that they are observed for all assigned cases. May provide support to and training to other researchers within the department.
Required Qualifications:
Desired Qualifications:
High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)These jobs might be a good fit

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Research & Adjustments Rep II is responsible for resolving research and adjustment inquiries within the bank's practices and procedures. Key responsibilities include maintaining internal operational and financial controls and ensuring that they are observed for all assigned cases. Job expectations include ensuring that all cases are resolved in compliance with industry regulations and bank procedures, integrity levels of the department's case management system, and financial controls, and escalating matters or issues to leadership to ensure minimum risk occurs.
Required Skills:
Desired Skills:
High School Diploma / GED / Secondary School or equivalent
1st shift (United States of America)These jobs might be a good fit

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As an FTA Manager, you will have an opportunity to work on some of the most complex tax issues and translate them into effective tax strategies, focused on managing the impact tax has on our clients' business. You will be part of the team, focused on identifying the various cash tax savings and refund opportunities in the areas of FDII, BEAT, and GILTI planning, R&D credits, accounting methods, capitalization and cost recovery, transaction costs, inventory, and others.
Your key responsibilities
You will be part of a team serving clients in various public and private industries and sectors. You will have an opportunity to directly interface with our clients and support the day-to-day project management activities by analyzing the client data/information, and preparing the commensurate analyses. You will support and actively participate in analysis of large datasets and the related evaluation of the pertinent laws and regulations, and collaborating with firm subject matter professionals to analyze the client facts. As part of the BTS practice, you will provide guidance and direction to the associates, support them on various engagement and the related activities. You will also play an important role in delivering client engagements and working directly with BTS managers and partners to serve our clients, develop our people and grow and nurture the OneEY culture.
Skills and attributes for success
To qualify for the role, you must have
Ideally, you'll also have
What we offer 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 .
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
As the Director AI Security Research, you will lead an elite team of researchers focused on discovering and mitigating novel threats against AI systems. You will be the organization's subject-matter expert on the AI attack surface, blending deep technical research with strategic leadership. Your team's work will directly shape our product strategy, inform our detection and prevention capabilities, and establish Palo Alto Networks as the definitive leader in AI security research.
Your Impact
Lead Advanced Research: Build and mentor a world-class applied research team focused on discovering and creating proof-of-concepts for new security vulnerabilities related to AI models, AI infrastructure, and AI-driven applications.
Drive Protection Strategy: Partner directly with engineering and product leaders to translate research findings into tangible, customer-facing security protections. Design practical, product-level mitigations to prevent novel attacks on AI systems.
Innovate with AI: Leverage Palo Alto Networks' security leadership to derive new insights, identify emerging threat trends, and build novel AI/ML-driven detection methodologies.
Thought Leadership: Serve as a primary AI security subject-matter expert for the company. Publish cutting-edge research through technical blogs, white papers, research papers and conference presentations, establishing industry-wide influence.
Cross-Functional Collaboration: Work closely with product management and engineering teams to ensure our platform is protected against the threats you discover.
Your Experience
Education: MS or PhD in Computer Science or a related field with a focus on AI/ML or cybersecurity is highly preferred.
Experience: 10+ years of hands-on experience in the cybersecurity research field, with at least 3+ years in a leadership or management role.
AI/ML Expertise: Deep practical and theoretical knowledge of modern AI systems, infrastructure, and data pipelines. Proven track record of discovering security issues related to AI systems is a major plus.
Security Acumen: Strong understanding of the attacker mindset and proven experience in vulnerability research, offensive security, or threat detection engineering.
Communication: Excellent written and verbal communication skills, with a strong ability to articulate highly complex technical concepts and research findings to diverse audiences, including executives and customers.
Data-Driven: Strong proficiency in data analysis and scripting (e.g., Python) and hands-on experience with query languages and databases (SQL, KQL, etc.).
Nice to Have
A public portfolio of research, including blog posts, conference talks, research papers or vulnerability disclosures.
Experience with cloud security (AWS, GCP, Azure) and container orchestration (Kubernetes).
Hands-on experience in building, training, and deploying ML models in a production environment.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between:: $274,400 - $290/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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Essential Responsibilities:
Expected Qualifications:
Key Responsibilities:
Research and develop large-scale foundation models, including continuous pre-training, supervised fine-tuning, and alignment techniques
Design novel architectures and training methodologies for domain-specific language models in financial services
Build scalable ML pipelines for foundation model training, evaluation, and deployment at enterprise scale
Conduct rigorous experimentation and benchmarking to ensure model quality, safety, and performance
Deploy foundation models into production environments to drive business insights and enhance customer experiences
Collaborate with cross-functional teams to identify high-impact use cases and translate research into practical solutions
Stay current with latest developments in LLM and LLM-Agent research and contribute to the broader AI/ML community through publications and open-source contributions
Mentor junior researchers and contribute to technical strategy for foundation model initiatives
Preferred Qualifications:
PhD in Computer Science, Machine Learning, AI, or related field with focus on large language models and LLM Agent
1-3+ years of hands-on experience training and deploying large-scale language models (7B+ parameters)
Deep expertise in transformer architectures, attention mechanisms, and modern training techniques
Experience with distributed training frameworks (PyTorch, JAX, DeepSpeed, etc.)
Strong background in NLP, deep learning, and statistical machine learning
Proven track record of research publications in top-tier venues (NeurIPS, ICML, ACL, etc.)
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $169,500 to $291,500
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit