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Junior Machine Learning Engineer Jobs in Decatur, AL

Lockheed Martin

AI/ML Engineer

Huntsville, AL · On-site

As an A/AI Machine Learning Engineer, you will: Engage with technical users to identify opportunities to drive use cases for AI/ML Create innovative solutions to complex analysis requirements Develop ...

Lockheed Martin

AI/ML Engineer

Huntsville, AL · On-site

As an A/AI Machine Learning Engineer, you will: Engage with technical users to identify opportunities to drive use cases for AI/ML Create innovative solutions to complex analysis requirements Develop ...

Varsity Tutors

Machine Learning Tutor

Huntsville, AL · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

Junior Java Developer

Huntsville, AL · On-site

Required Skills for Data Science/Machine Learning: * Bachelor's or Master's degree in Computer ... Experience with Java programming and understanding of the software development life cycle.

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum Clearance Required: Interim Secret Clearance Level Must Be Able to Obtain: Secret Potential for ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum Clearance Required:Interim Secret Clearance Level Must Be Able to Obtain:Secret Potential for Remote ...

Lockheed Martin

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

Lockheed Martin

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

Mentor and train junior machinists and CNC operators * Collaborate with engineering, planning, and quality teams * Provide feedback on manufacturability, tooling improvements, and process ...

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

Mentor and train junior machinists and CNC operators * Collaborate with engineering, planning, and quality teams * Provide feedback on manufacturability, tooling improvements, and process ...

Strata-G Solutions

Senior Machinist

Huntsville, AL · On-site

$19.50 - $26.75/hr

Mentor and train junior machinists and CNC operators * Collaborate with engineering, planning, and quality teams * Provide feedback on manufacturability, tooling improvements, and process ...

Torch Technologies

AI/ML Engineer

Huntsville, AL

AI/ML Engineer Torch Technologies is seeking a highly analytical and mathematically minded ... Design, develop, and deploy machine learning models to support mission-critical objectives.

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All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Decatur, AL

Junior Machine Learning Engineer information

See Decatur, AL salary details

$31.4K

$67.3K

$102.7K

How much do junior machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for junior machine learning engineer in Decatur, AL is $67,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

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What job categories do people searching Junior Machine Learning Engineer jobs in Decatur, AL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Junior Machine Learning Engineer jobs? Cities near Decatur, AL with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Decatur, AL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,308 per year, or $32.4 per hour.
Senior Machine Learning Engineer | AI/ML Maestro

Senior Machine Learning Engineer | AI/ML Maestro

Infinity Labs LLC

Huntsville, AL • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Job description

Job Title: Machine Learning Engineer | AI/ML Maestro
Location: Huntsville, AL
This position is open for a Senior AI/ML Engineer specializing in reinforcement learning (RL) and defense-related modeling and simulation. Candidates must meet the general requirements below to be considered. Additional qualifications for senior-level applicants are listed throughout the description.
Who You Are:
You wield artificial intelligence like a six-shooter, deploying machine learning algorithms with the precision of a marksman. You're a problem solver who doesn't flinch at complex military simulations, integrating AI with DoD frameworks to provide decision-makers with real-time insights. With a sharp mind for AI/ML and a deep understanding of simulation environments, you thrive in secure, high-stakes settings. You don't just consume research-you apply it, innovate on it, and deploy it in real-world scenarios that shape national security.
Who We Are:
Infinity Labs is an innovation-driven company with world-class expertise in the defense and national security sectors. Infinity provides cutting-edge engineering technologies and solutions, including modeling, simulation, and analysis (MS&A), research and development (R&D), cyber operational technology, and training. Our extensive project portfolio covers a vast range of physical scales and applications, from materials and components to subsystems, platforms, and systems of systems. We integrate science and systems as part of our overall solutioning approach and we investigate advanced concepts and technologies with disruptive application potential. The sophistication of our work directly reflects the ingenuity and proficiency of our team. Our workforce shapes the future, and our employees are our greatest asset.
What You'll Do:
  • Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems.
  • Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and deep learning to optimize system performance.
  • Work with large-scale datasets, developing data pipelines and feature engineering processes to support training and inference.
  • Collaborate with DoD civilians, contractors, and stakeholders to align ML solutions with mission objectives.
  • Develop high-performance, scalable AI architectures for deployment on cloud and HPC environments.
  • Optimize machine learning workflows, ensuring computational efficiency and maintainability in resource-constrained settings.
  • Build visualization tools, dashboards, and scripts to analyze model performance and interpret AI-driven insights.
  • Stay ahead of the latest advancements in AI/ML, incorporating cutting-edge research into practical applications.
  • Engage with the DoD modeling and simulation (M&S) community, presenting findings and collaborating on technical solutions.
  • Develop and optimize deep learning architectures, such as transformers, CNNs, and graph-based neural networks, for mission-driven applications.
  • Lead the development of custom ML libraries and toolkits to enhance AI capabilities across multiple projects.
  • Oversee the design of relational and graph-based database schemas to support large-scale AI-driven analytics.

Minimum Qualifications/What You'll Bring:
  • Expertise in machine learning frameworks such as PyTorch, TensorFlow, and JAX.
  • Proficiency with reinforcement learning algorithms (PPO, SAC, DQN).
  • Hands-on experience integrating AI with modeling and simulation tools (AFSIM, MDASim).
  • Strong programming skills in Python and experience with ML libraries like RLlib and Gymnasium.
  • Cloud computing experience with AWS or DoD HPC environments.
  • Version control proficiency (Git, GitLab, GitHub).

Education/Credentials:
  • 10+ years of experience in AI/ML.
  • B.S. in Physics, Engineering, or Computer Science (STEM). Advanced degree preferred.
  • U.S. citizenship is required for consideration, as this job requires U.S. government security clearance
    • Required - Active Secret clearance
    • Highly Desired/Preferred - Active TS/SCI clearance

Nice to Haves:
  • Experience modifying and extending AFSIM framework capabilities.
  • Familiarity with high-level languages such as MATLAB, Simulink, or Julia.
  • Deep understanding of component-based architectures in AI/ML applications.
  • Demonstrated ability to optimize RL training pipelines for computational efficiency.
  • Contributions to published AI/ML research in a defense or security context.

Physical Demands:
  • Must be able to remain in a stationary position and work on a computer for prolonged periods.

This job description provides a high-level review of the responsibilities of the position and is not intended to be a complete list of all responsibilities, duties or skills that may be required for the job. The job description is subject to review and change at any time and other job-related duties or requirements may be assigned as necessary.
What We Offer:
As a nationally recognized Great Place to Work® and Military Times® Best for Vets: 2025 Employer, we prioritize employee well-being and experience, fostering a culture that values dedicated teams and committed individuals. Our premier total compensation package for eligible employees includes:
  • Comprehensive health benefits including medical, dental, and vision coverage.
  • Company-paid disability and life insurance.
  • Generous 401(k) plan with guaranteed company contribution.
  • Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities.
  • Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges.

Infinity Labs is an equal opportunity employer, including disability/vets.

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