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Machine Learning Secret Clearance Jobs in Arizona

Infinia Search Inc

Be Seen First

Applied Machine Learning Engineer

Chandler, AZ · On-site

$60 - $95/hr

Citizen Secret Clearance preferred This position will to support mission-critical aerospace and defense programs. As an Applied Machine Learning Engineer, you will support informed decision-making ...

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

... a Secret security clearance Nice to Have (preferred skills): * Experience with optical, electro-optical, and/or acoustic (sonar) sensors and their data products * Experience with machine learning ...

Maximus

AI/ML Software Developer

Glendale, AZ · On-site

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Phoenix, AZ · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Maximus

AI/ML Software Developer

Mesa, AZ · On-site

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

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Machine Learning Secret Clearance information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer with Secret Clearance, and why are they important?

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 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 unique challenges might I face working as a Machine Learning Engineer with 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 a Machine Learning Secret Clearance job?

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 popular job titles related to Machine Learning Secret Clearance jobs in Arizona? For Machine Learning Secret Clearance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Secret Clearance jobs in Arizona look for? The top searched job categories for Machine Learning Secret Clearance jobs in Arizona are:
What cities in Arizona are hiring for Machine Learning Secret Clearance jobs? Cities in Arizona with the most Machine Learning Secret Clearance job openings:
Machine Learning Secret Clearance jobs near you
Applied Machine Learning Engineer

Applied Machine Learning Engineer

Infinia Search Inc

Chandler, AZ • On-site

$60 - $95/hr

Contractor

Medical, Dental, Vision

Re-posted 17 days ago

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Job description

Must be a U.S. Citizen
Secret Clearance preferred
This position will to support mission-critical aerospace and defense programs. As an Applied Machine Learning Engineer, you will support informed decision-making around the application of machine learning and AI models in safety- and reliability-constrained systems. This role focuses on evaluating tradeoffs between retrieval-based approaches, fine-tuning, targeted training, and non-ML solutions. The position is onsite in Chandler, AZ and works closely with software, infrastructure, simulation, and GNC engineering teams.

Requirements

· Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM field

· 3+ years of applied machine learning experience with production systems

· Demonstrated experience making technical tradeoff decisions around:

· RAG vs fine-tuning vs lightweight adaptation

· Model scope, training data selection, and evaluation

· Strong understanding of model failure modes, overfitting, and distribution shift

· Experience deploying ML in environments where correctness and reliability matter

· Ability to clearly communicate ML risks and limitations to non-ML engineers

· U.S. Citizenship

· Preferred Qualifications

· Experience with simulation, autonomous systems, aerospace, or defense programs

· Exposure to guidance, navigation, or control systems

· Experience working with hybrid ML + classical systems

· Familiarity with regulated or compliance-driven software environments

· Active or prior DoD security clearance

Responsibilities

· Evaluate when machine learning should or should not be applied to engineering problems

· Advise teams on tradeoffs between RAG, fine-tuning, and targeted model training

· Support definition of heuristics for model selection, evaluation, and retraining

· Identify and mitigate ML failure modes in system and simulation contexts

· Collaborate with GNC, software, and infrastructure teams on safe ML integration

Company Description

We’re Infinia Search. We’re a relationship-driven search firm that proves that talent, ambition, curiosity, and an infinite work ethic creates exponential results for our clients and candidates.
Infinia Search logo

About Infinia Search

Sourced by ZipRecruiter

Whether we are recruiting top talent or building out a managed team, Infinia’s focus is developing and strengthening relationships with both clients and candidates, because placing professionals is about more than running web searches and filling empty seats. It’s about the human connection.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Kennett Square, PA, US

Year founded

2016

Social media

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