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Machine Language Jobs (NOW HIRING)

Machine Learning Engineer III

San Diego, CA · On-site

$116K - $208K/yr

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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

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.

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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.

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

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 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?

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.
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:
Infographic showing various Machine Language job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Artificial Intelligence/Machine Learning 2

Avid Technology Professionals

Laurel, MD

Full-time

Posted 21 days ago


Job description

The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.    
Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.