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Machine Learning Secret Clearance Jobs in Michigan

Eccalon LLC

Machine Learning Engineer

Detroit, MI

No clearance required, must be clearable. 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 ...

CACI

Software Engineer with Security Clearance

Ypsilanti, MI · On-site

$82K - $172K/yr

  • Medical

  • Retirement

  • PTO

Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel ... Learning from our recognized leaders and setting oneself up for future leadership in the area.

Eccalon LLC

AI Expert- Software

Detroit, MI · On-site

No clearance required, must be clearable. The AI Expert - Software Engineering is responsible for ... Integrate machine learning models, LLMs, and AI services into backend and full-stack systems

CACI International, Inc.

Software Engineer

Ypsilanti, MI · On-site

  • Medical

  • Retirement

  • PTO

Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type ... Learning from our recognized leaders and setting oneself up for future leadership in the area.

CACI International, Inc.

Software Engineer

Ypsilanti, MI · On-site

$82K - $172K/yr

  • Medical

  • Retirement

  • PTO

Engineering Time Type: Full time Minimum Clearance Required to Start: Top Secret Employee Type ... Learning from our recognized leaders and setting oneself up for future leadership in the area.

CACI

Systems Engineer with Security Clearance

Ypsilanti, MI · On-site

$72K - $148K/yr

  • Medical

  • Retirement

  • PTO

Top Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

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All JobsMachine Learning Secret Clearance JobsMachine Learning Secret Clearance Jobs in Michigan

Machine Learning Secret Clearance information

What is a machine learning secret clearance?

A Machine Learning Secret Clearance job involves developing and implementing machine learning models and algorithms within organizations that require employees to hold a U.S. government Secret security clearance. These roles typically support classified projects for government agencies or defense contractors, ensuring that sensitive data and methods are handled securely. Professionals in these positions combine expertise in artificial intelligence with knowledge of security protocols, working on tasks like data analysis, predictive modeling, and automation within a secure environment. The Secret clearance requirement demonstrates an individual's trustworthiness and eligibility to access classified information, which is essential for national security work.

What are the key skills and qualifications needed to thrive as a machine learning secret clearance?

To thrive as a Machine Learning Engineer with Secret Clearance, you need a solid background in computer science, mathematics, and machine learning theory, typically supported by a relevant degree and eligibility for security clearance. Familiarity with frameworks like TensorFlow or PyTorch, programming languages such as Python, and secure data handling protocols is essential, and certifications like CompTIA Security+ can be valuable. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with interdisciplinary teams in sensitive environments. These skills ensure the development of robust, secure, and innovative AI solutions that meet strict government or defense requirements.

What unique challenges might I face working as a machine learning secret clearance, and how does this affect daily responsibilities?

Working as a Machine Learning Engineer with Secret Clearance often involves handling sensitive or classified data, which introduces unique challenges such as adhering to strict security protocols and limited access to certain resources or external tools. Your daily responsibilities may include developing models in secure environments, collaborating closely with cross-functional teams cleared at similar levels, and ensuring all work complies with government regulations. While the work can be highly impactful and intellectually stimulating, it requires strong attention to detail, adaptability, and an understanding of data security practices.

What is the difference between Machine Learning Secret Clearance vs Data Scientist with Secret Clearance?

AspectMachine Learning Secret ClearanceData Scientist with Secret Clearance
Required CredentialsSecurity clearance, specialized machine learning knowledge, programming skillsSecurity clearance, statistical, programming, and data analysis skills
Work EnvironmentGovernment agencies, defense contractors, classified projectsGovernment agencies, private sector, research institutions
Employer & Industry UsagePrimarily defense, intelligence, aerospaceWide range including government, tech, finance
Common Search & ComparisonYesYes

Both roles require security clearance and technical expertise, but Machine Learning Secret Clearance focuses more on developing AI models for classified projects, while Data Scientist with Secret Clearance emphasizes data analysis and insights across various sectors. The roles often overlap in government and defense sectors, but differ in specific skill sets and project focus.

What are popular job titles related to Machine Learning Secret Clearance jobs in Michigan?

For Machine Learning Secret Clearance jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Machine Learning Secret Clearance jobs in Michigan look for?

The top searched job categories for Machine Learning Secret Clearance jobs in Michigan are:

What cities in Michigan are hiring for Machine Learning Secret Clearance jobs?

Cities in Michigan with the most Machine Learning Secret Clearance job openings:

Machine Learning Secret Clearance jobs near you

Machine Learning Engineer

Eccalon LLC

Detroit, MI

Full-time

Re-posted 27 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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