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Machine Language Jobs (NOW HIRING)

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to ...

General Atomics

Machine Learning Engineer III

Poway, CA · On-site

In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to ...

SageCor Solutions

AI/ML 2 (FST - 118)

Annapolis, MD · On-site

Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow. Optional Skills: Expert knowledge of multiple programming languages, e.g. Python, Java, C, R. Consistent with federal ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to ...

General Atomics

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to ...

Mannapov, LLC

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

Burckhardt Compression

Machinist

Batavia, IL · On-site

$22.25 - $30.25/hr

... machine language. * Maintain safe and clean working environment by complying with procedures, rules, and regulations. * Maintains equipment by completing preventive maintenance requirements.

Mannapov, LLC

Senior R&D Software Developer

Boerne, TX · On-site

$51.25 - $67.75/hr

Exempt Reports to: Sr. R&D Engineer We are seeking an experienced Senior R&D Software Developer with expertise in low-level C programming, C#, machine language, and hardware engineering. The ...

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All JobsMachine Language Jobs

Machine Language information

What is the difference between Machine Language vs Data Scientist?

AspectMachine LanguageData Scientist
Required CredentialsNone specific; basic programming knowledgeBachelor's or higher in CS, statistics, or related fields
Work EnvironmentLow-level programming, embedded systems, hardware interactionData analysis, modeling, visualization in offices or labs
Industry UsageSoftware development, embedded systems, hardware programmingTech, finance, healthcare, marketing

Machine Language involves low-level programming directly with binary instructions, primarily used for hardware interaction. Data Scientists analyze data to extract insights, often using high-level languages like Python or R. While both roles require programming skills, Machine Language focuses on hardware-level coding, whereas Data Scientists work with data analysis and modeling.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize machine learning models, and their role involves understanding algorithms, data preprocessing, and model deployment. While AI advancements automate some tasks, MLEs are essential for creating and maintaining complex AI systems, and their expertise remains in demand for developing innovative solutions and managing AI infrastructure.

What engineers make $500,000?

Senior machine learning engineers and AI specialists with extensive experience, advanced skills in deep learning, and strong programming backgrounds can earn $500,000 or more annually, especially in high-demand industries like tech and finance. Achieving this level often requires advanced degrees, certifications, and leadership roles within organizations.

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

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools, as well as certifications in data science or machine learning, are highly valuable. Problem-solving skills, curiosity, and effective collaboration are crucial soft skills for innovating and working in multidisciplinary teams. These abilities are essential to design, implement, and optimize models that drive data-driven decision-making and business success.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, extensive experience, and may require expertise in tools like Python, TensorFlow, or PyTorch, along with relevant certifications. Compensation at this level reflects the complexity and impact of the work in developing cutting-edge AI solutions.

What are some common challenges faced by professionals working with machine learning models, and how can they be addressed?

Professionals in machine learning often encounter challenges such as managing large and complex datasets, addressing data quality issues, and preventing model overfitting. Collaborating effectively with data engineers and domain experts can help ensure data relevance and accuracy. Additionally, staying updated with the latest research and best practices is important for optimizing model performance and adapting to evolving business needs. Regular code reviews and model validation are key practices that help maintain high-quality, reliable machine learning solutions.

What is machine language and what does a machine language programmer do?

Machine language is the lowest-level programming language, consisting of binary code that computers can directly execute. A machine language programmer writes instructions in this binary code to control computer hardware at the most fundamental level. This job often involves optimizing code for performance and working closely with computer architecture. Machine language programming is rare today, as higher-level languages are more commonly used, but it remains crucial for certain applications like embedded systems and hardware drivers.

Is ML a high paying job?

Machine learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and education, but many ML positions offer competitive compensation compared to other tech roles.
More about Machine Language jobs
What states have the most Machine Language jobs? States with the most job openings for Machine Language jobs include:
What job categories do people searching Machine Language jobs look for? The top searched job categories for Machine Language jobs are:
Machine Language jobs near you
Infographic showing various Machine Language job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Artificial Intelligence/Machine Learning 2 with Security Clearance

Artificial Intelligence/Machine Learning 2 with Security Clearance

Avid Technology Professionals

Annapolis Junction, MD • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

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