AI Engineer
Salt Lake City, UT · On-site
$50K - $112K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...
AI Engineer
Salt Lake City, UT · On-site
$50K - $112K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Design and execute adversarial simulations against Large Language Models (LLMs) and machine learning pipelines to identify enterprise vulnerabilities, verifying that deployed AI applications are ...
Sr. Applied AI Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
... sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task ... AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure ...
Sr. Applied AI Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
... sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task ... AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure ...
Sr. Applied AI Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
... sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task ... AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure ...
Sr. Applied AI Engineer
Salt Lake City, UT · On-site
$101K - $138K/yr
... sets, regression suites, adversarial testing, groundedness and faithfulness scoring, task ... AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure ...
Staff Cyber Security Engineer - AIDR/AISPM
Draper, UT · On-site +1
Leads the design and implementation of security strategies for AI and machine learning ecosystems, including threat detection, model security, adversarial attack mitigation, and risk management.
Staff Cyber Security Engineer - AIDR/AISPM
Draper, UT · On-site +1
Leads the design and implementation of security strategies for AI and machine learning ecosystems, including threat detection, model security, adversarial attack mitigation, and risk management.
Adversarial Machine Learning information
What are some common challenges faced by professionals working in adversarial machine learning roles?
Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.
What are the key skills and qualifications needed to thrive as an adversarial machine learning specialist, and why are they important?
To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.
What is the difference between Adversarial Machine Learning vs Data Scientist?
| Aspect | Adversarial Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Knowledge of machine learning, cybersecurity, and threat detection | Degree in data science, statistics, or related fields |
| Work Environment | Research labs, cybersecurity teams, AI development | Business analytics, data analysis, model development |
| Industry Usage | AI security, cybersecurity, machine learning research | Business, finance, healthcare, tech companies |
Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.
What is adversarial machine learning?
Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.
What are popular job titles related to Adversarial Machine Learning jobs in Utah? For Adversarial Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Utah look for? The top searched job categories for Adversarial Machine Learning jobs in Utah are:
What cities in Utah are hiring for Adversarial Machine Learning jobs? Cities in Utah with the most Adversarial Machine Learning job openings:
$50K - $112K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
PwC rating
8.3
Based on 76 frontline employees who took The Breakroom Quiz
25th of 72 rated business consultants
Job description
Industry/Sector
Not ApplicableSpecialism
IFS - Information Technology (IT)Management Level
AssociateJob Description & Summary
The Opportunity
As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As an Associate, you will focus on learning and contributing to projects while developing your skills and knowledge to deliver quality work. You will engage with different stakeholders to build meaningful connections, learn how to manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In increasingly complex situations, you will build acumen to anticipate the needs of your teams and internal stakeholders, embrace ambiguity, ask questions, and use these challenges as opportunities for growth.
In this role, you will take ownership and consistently deliver quality work that drives value for our clients and success as a team. You will be part of a dynamic environment where every experience is an opportunity to learn and grow, opening doors to more opportunities within the firm.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing scalable machine learning models using Python and TensorFlow
- Integrating data from various sources to create unified views for analysis
- Building and maintaining data pipelines to support AI model deployment
- Applying complex data analysis techniques to discern patterns and trends
- Collaborating with team members to enhance AI solutions and drive business growth
- Utilizing natural language processing tools like NLTK for text analytics and sentiment analysis
- Implementing neural networks and deep learning methods for advanced AI applications
- Managing data quality and infrastructure to support reliable AI operations
- Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering
What You Must Have
- At least a Bachelor's degree or, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college is required
- At least 1 years of experience
What Sets You Apart
- In at least one of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Building and orchestrating AI agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions
- Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models
- Developing automated evaluation frameworks, including LLM-as-judge pipelines, regression testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output groundedness
- Optimizing open-weight language models, including LLaMA, Mistral, and Gemma, for local and cloud deployment using quantization, inference acceleration, and model-routing techniques
- Designing agent harnesses and implementing context engineering, memory management, retry logic, and structured output validation to support reliable, multi-step AI workflows
- Demonstrating proficiency in Python and TensorFlow for AI projects
- Utilizing machine learning libraries like Scikit-Learn for data analysis
- Engaging in complex data analysis and pattern recognition
- Implementing AI solutions using open-source software
- Applying natural language processing techniques in real-world applications
Travel Requirements
Up to 20%Job Posting End Date
The salary range for this position is: $50,500 - $112,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines