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Adversarial Machine Learning Jobs in Michigan (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Generative Adversarial Architectures. Preferred qualifications * MS. or PhD in Machine Learning, or related field * Extensive AWS or GCP experience putting scalable Machine Learning systems into ...

Deloitte

AI Data Engineer - Manager

Detroit, MI

$113K - $136K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Address potential issues such as training data poisoning, AI model theft, and adversarial samples.

Deloitte

Google AI Lead Architect

Detroit, MI · On-site

$54.50 - $74.75/hr

... and adversarial attacks. • Design Patterns: Apply and enforce Application Design Patterns and ... Preferred : • Google Professional Machine Learning Engineer certification or the equivalent ML ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

Designs and implement secure machine learning operations (MLOps) controls for datasets, features ... Leads offensive security activities for AI systems, including adversarial testing, AI red teaming ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

Designs and implement secure machine learning operations (MLOps) controls for datasets, features ... Leads offensive security activities for AI systems, including adversarial testing, AI red teaming ...

Lthc

Principal AI Security Engineer

Dewitt, MI · Hybrid

Designs and implement secure machine learning operations (MLOps) controls for datasets, features ... Leads offensive security activities for AI systems, including adversarial testing, AI red teaming ...

Wade Trim

DevSecOps Engineer - #2922

Detroit, MI · On-site

... machine learning pipelines. You will integrate and automate security controls in continuous ... Test AI systems for adversarial risks daily (prompt injection, data poisoning indicators, model ...

Wade Trim

DevSecOps Engineer - #2922

Detroit, MI · Hybrid

... machine learning pipelines. You will integrate and automate security controls in continuous ... Test AI systems for adversarial risks daily (prompt injection, data poisoning indicators, model ...

All JobsAdversarial Machine Learning JobsAdversarial Machine Learning Jobs in Michigan

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?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, 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 Michigan? For Adversarial Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Michigan look for? The top searched job categories for Adversarial Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Adversarial Machine Learning jobs? Cities in Michigan with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Eccalon LLC

Detroit, MI

Full-time

Posted 24 days ago

Job description

Machine Learning Engineer

Location: Detroit, MI- Onsite

Type: Full-time

Security Clearance: No clearance required, must be clearable.

Job Description

The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. At Eccalon, the projects we support often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. We support advanced projects in both data constrained and data rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team.

Responsibilities

  • Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:
    • Dataset Creation.
    • Data Exploration/Visualization.
    • Literature Review.
    • Data Wrangling.
    • Implementation and Training of Appropriate Models from Literature.
    • Characterization of Error in Models.
    • Iterative Optimization of Models.
  • On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:
    • Creating training and preprocessing pipelines for faster experimentation.
    • Creating algorithmic modules to interface your Models output with business requirements.
    • Integrating their code to a larger codebase.
    • Putting your model into production using AWS or GCP.

Required Qualifications

  • BS. in Computer Science, or related field.
  • 3+ years of professional Software Development experience in Python.
  • Mastery of Deep Learning fundamentals and statistics underlying Machine Learning.
  • History of software projects putting Machine Learning systems into production in any capacity.
  • History of software projects in general.
  • Deep personal interest with the complete state of the art in a subfield of Machine Learning Research.
  • Ability to work independently, and within a team.
  • Ability to communicate effectively with non-technical stakeholders and supervisors.
  • Prior project experience combining two or more of the following in a production setting:
    • Unsupervised or Semi-supervised Learning.
    • Convolutional Architectures.
    • Autoencoders.
    • Recurrent Architectures for Time-Series Applications.
    • Transformer Architectures for Natural Language Processing.
    • Generative Adversarial Architectures.

Preferred qualifications

  • MS. or PhD in Machine Learning, or related field
  • Extensive AWS or GCP experience putting scalable Machine Learning systems into production.
  • Experience working with extremely high volume / high throughput data in a data lake / data warehousing / training / production environment.
  • Has implemented cutting edge methods (e.g. a custom layer) from recent Machine Learning publications / conference proceedings and has done so in PyTorch or Tensorflow.
  • Publications in AI/ML journals or conferences.

Equal Employment Opportunity (EEO) Policy

Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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