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Machine Learning Defense Jobs in Michigan (NOW HIRING)

Howmet Aerospace

Data Engineer

Whitehall, MI

$108K - $130K/yr

Collaborate with Data Scientists and Machine Learning Engineers to understand model input ... defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is ...

Howmet Aerospace

Data Engineer

Whitehall, MI

$108K - $130K/yr

Collaborate with Data Scientists and Machine Learning Engineers to understand model input ... defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is ...

Aampower

Machine Operator

Auburn Hills, MI · On-site

$18.50/hr

... line of defense in the quality control process. They work as a team to produce high quality ... learning. No previous experience required. Starting pay is $18.50/hour with a $1.00/hour shift ...

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Machine Learning Defense information

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.
What are popular job titles related to Machine Learning Defense jobs in Michigan? For Machine Learning Defense jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Michigan look for? The top searched job categories for Machine Learning Defense jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Defense jobs? Cities in Michigan with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you

Data Engineer

Howmet Aerospace

Whitehall, MI

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Howmet Aerospace rating

7.9

Company rating: 7.9 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

45th of 72 rated aerospace companies

Job description

As a data engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a multidisciplinary IGT group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming the data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you!

Job Role:

  • Up to 50% travel including internationally to France, UK and Germany
  • Initiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces
  • Initiate working with corporate and local IT to understand the data storage and sources that correlate to the plant process, and the most efficient way to query them
  • Query multiple data sources and join the data together to accurately represent the process
  • Explore the data to identify edge cases, data cleaning requirements, and bias – using statistics as necessary
  • Down-select, augment, and clean the dataset
  • Iterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization
  • Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements
  • Transform the data to meet machine learning model input requirements
  • Provide post-modeling functions to translate model results to process-relatable values
  • Actively participate in leveling up proof-of-concept code to productionized scripts
  • Document projects in Power Point and reusable code, storing work in a revision-controlled system

Basic Qualifications:

  • Bachelor’s degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems

  • Must have experience in basic SQL querying skills

  • Demonstrated ability to transform data with a programming language

  • Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint, Visio)

  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Company Description

Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit www.howmet.com/joinus

What Howmet Aerospace employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888

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