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Senior Machine Learning Engineer Jobs in Rainsville, AL

Westrock

Staff Eng, Proj Engineering

Stevenson, AL · On-site

General Information Job ID ATR61795 Posting Job Title Senior Mechanical Project Engineer Locations ... machines that manufacture corrugated medium from both hardwood virgin fiber and OCC and is one of ...

All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Rainsville, AL

Senior Machine Learning Engineer information

See Rainsville, AL salary details

$49.2K

$104.6K

$151.7K

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

As of Sep 7, 2026, the average yearly pay for senior machine learning engineer in Rainsville, AL is $104,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $118,600.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Rainsville, AL are hiring for Senior Machine Learning Engineer jobs?

Cities near Rainsville, AL with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Rainsville, AL as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $104,609 per year, or $50.3 per hour.

Sr. IT Software Engineer, AMR

JST Corporation

Guntersville, AL • On-site

$96K - $127K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Lead the design, development, and deployment of software solutions for Autonomous Mobile Robots (AMRs).

  • Troubleshoot complex real-time issues on the factory floor and resolve systemic interactions between AMRs and industrial equipment.

  • Integrate AMR software with enterprise platforms and build data tools for fleet health monitoring.

Job description

Senior IT Software Engineer – AMR & Robotics

Location: Guntersville, AL | Full-Time | Senior Level

About the Role

Ready to drive the next generation of autonomous systems in smart manufacturing? We are seeking a highly skilled Senior IT Software Engineer to lead the design, development, and deployment of software solutions for our fleet of Autonomous Mobile Robots (AMRs) in Guntersville, AL. Serving as a key technical leader, you will split your time between driving strategic software initiatives in the office and troubleshooting complex systems hands-on on the factory floor. This role is critical for scaling our robotics operations, ensuring fleet reliability, and mentoring junior engineers.

What You’ll Do

As the subject matter expert for AMR software and system integration, you will lead the architecture and implementation of scalable software for our AMR fleet, making key design decisions across navigation, perception, and control systems. You will write core software components in C++ and Python—including algorithms for path planning, localization (SLAM), motion planning, and computer vision—while managing complex software projects from concept to completion.

A significant portion of your role will involve direct factory floor engagement: working alongside operations, maintenance, and automation teams to troubleshoot complex real-time issues and resolve systemic interactions between AMRs and industrial equipment. Additionally, you will lead the integration of AMR software with enterprise platforms (MES, WMS, ERP), build data tools for fleet health monitoring, and mentor junior team members.

What We’re Looking For

We are seeking candidates with a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Robotics, or a related field, along with 5+ years of professional software engineering experience centered on robotics and automation systems. You must demonstrate expert-level proficiency in C++ and Python, extensive experience with ROS (Robot Operating System), and deep expertise in designing complex software architectures. Essential technical background includes hands-on work with Git, Linux, robotics simulation environments, industrial protocols, and industrial automation tools like PLCs and SCADA.

Preferred credentials include validated certifications in ROS or IEEE’s CSDP, experience leading engineering teams, and specialized certifications in cloud platforms, AI/ML, or cybersecurity for robotics.

What We Offer

We support our senior leadership with a competitive compensation package and comprehensive health, dental, and vision insurance options. You will enjoy generous paid time off (PTO) and company-recognized paid holidays to maintain a great work-life balance. To help secure your long-term financial future, we offer a robust 401(k) retirement plan with an immediate company match, alongside continuous opportunities for career growth within an expanding smart factory environment.

Work Environment & Travel

This position operates in a mixed environment spent across the active factory floor and an office setting, with light travel to affiliate locations expected at around 10%. Candidates must be comfortable working around moving machinery and maintain on-call availability for critical operational issues.

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