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Machine Learning Defense Jobs in Kansas (NOW HIRING)

Lawton OK; or Round Rock, TX JobPurpose/Summary The Machine Learning Engineerwillbuild and integrate machine learning solutions into our next-generation space and critical infrastructure defense ...

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

Lawton OK; or Round Rock, TX Job Purpose/Summary The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical infrastructure defense ...

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... in the aerospace and defense industry , APPLY TODAY! Launch Your Career to New Heights: We ...

CNC Machine Operator

Olathe, KS · On-site

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... in the aerospace and defense industry , APPLY TODAY! Launch Your Career to New Heights: We ...

... defense industries in the U.S. and around the world. The D.C. area is also home to our regional ... Design, develop, and deploy AI agents and machine learning models to solve complex HR challenges ...

... defense industries in the U.S. and around the world. The D.C. area is also home to our regional ... Design, develop, and deploy AI agents and machine learning models to solve complex HR challenges ...

Our Identity team utilizes an AI-driven development process and machine learning models to secure ... Adversarial Defense: Partner with the "Paranoids" (Security) and Engineering to deploy defenses ...

... scalable machine learning systems that transform spatial-temporal and sensor-derived data into ... Background in defense, cybersecurity, space, or other mission-driven sensor analytics environments.

... machine learning systems that transform spatial-temporal and sensor-derived data into reliable ML ... Background in defense, cybersecurity, space, or other mission-driven sensor analytics environments.

... machinery fire, water, personal property, cattle, and crop liability losses. ESSENTIAL DUTIES ... and defense counsel. • Collaborate with teammates to effectively manage/coordinate complex ...

... machinery fire, water, personal property, cattle, and crop liability losses. ESSENTIAL DUTIES ... and defense counsel. · Collaborate with teammates to effectively manage/coordinate complex ...

Operator

Welda, KS · On-site

$15 - $19.75/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... Defensive driving * First aid/CPR * CBT / ExxTend learning modules * Other coursework and proof of ...

Operator

Welda, KS · On-site

$15 - $19.75/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... Defensive driving * First aid/CPR * CBT / ExxTend learning modules * Other coursework and proof of ...

Operator

Stafford, KS · On-site

$15.25 - $20.25/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... Defensive driving * First aid/CPR * CBT / ExxTend learning modules * Other coursework and proof of ...

Operator

Stafford, KS · On-site

$15.25 - $20.25/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... Defensive driving * First aid/CPR * CBT / ExxTend learning modules * Other coursework and proof of ...

Operator

Welda, KS

$15 - $19.75/hr

... machinery, rights of way, and pipelines. This is a key training phase intended to build an ... Defensive driving * First aid/CPR * CBT / ExxTend learning modules * Other coursework and proof of ...

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Machine Learning Defense information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

How much does Lockheed Martin pay AI?

As a Machine Learning Defense professional at Lockheed Martin, salaries typically range from $80,000 to over $130,000 annually, depending on experience, education, and specific role. Compensation may also include benefits such as health insurance, retirement plans, and performance bonuses, with opportunities for career advancement in defense and aerospace sectors.

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 jobs pay $2000 a day?

In the field of Machine Learning Defense, highly specialized roles such as senior machine learning engineers, AI security consultants, or cybersecurity analysts working on AI systems can command daily rates of around $2000 or more, especially with extensive experience, advanced certifications, and working on critical projects. These positions often require expertise in AI algorithms, cybersecurity, and relevant tools like Python, TensorFlow, or cybersecurity frameworks, and may involve consulting or contract work with flexible schedules.

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.

Which 3 jobs will survive AI?

In the field of Machine Learning Defense, roles such as cybersecurity analysts, AI security specialists, and data scientists are likely to persist as they require complex judgment, domain expertise, and ongoing adaptation to evolving threats. These jobs involve critical thinking, understanding of adversarial AI techniques, and specialized skills that are difficult to fully automate. Continuous learning and certifications in cybersecurity or AI are valuable for staying relevant in these roles.

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 Kansas? For Machine Learning Defense jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Kansas look for? The top searched job categories for Machine Learning Defense jobs in Kansas are:
What cities in Kansas are hiring for Machine Learning Defense jobs? Cities in Kansas with the most Machine Learning Defense job openings:
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Knowmadics

Wichita, KS

$93K - $128K/yr

Full-time

Posted 10 days ago


Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX


JobPurpose/Summary

The Machine Learning Engineerwillbuild and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities.Theywillleveragea variety of machine learning approaches to processvery largestreams of unstructured data in real time in scalable and secure cloud-native environments.As the first dedicated internal Machine Learning Engineer for this product, they willplay acriticalrole inrequirements generation, team leadership, andinfluencing the future of our products.

This is a demanding product development role, not a researchposition.Success on year one involves the design, training,optimization,validationand implementation of high-performance inference pipelinesat scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.

Duties andResponsibilities

  • Lead the development+implementation ofreal-timefeature detection and anomaly detectionmodels
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications

  • 7-10YoEas a SWE or ML engineer building applied research and/or production technologies
  • Expertiseon building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex.pytorch)
  • A comprehensive understanding of systems programming (a strongproficiencyin C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenshiprequired.

Bonus Qualifications

  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker,kubernetes,helmetc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions

  • Employees may be called upon toparticipatein in-person meetings,training, or company functions atKnowmadicsoffices or other designated locations. Travel in support of business operations may also berequired, and employees are expected tocomply withthese obligations as part of their position.
  • Candidateshould live within driving distance of the following areas:Waldorf, Md;Wichita, KS;Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements

May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.

Direct reports

None