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Remote Machine Learning Engineer Jobs in Peoria, IL

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Remote Machine Learning Engineer information

See Peoria, IL salary details

$30.9K

$126.3K

$189.9K

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

As of Jul 24, 2026, the average yearly pay for remote machine learning engineer in Peoria, IL is $126,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $152,100.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What job categories do people searching Remote Machine Learning Engineer jobs in Peoria, IL look for? The top searched job categories for Remote Machine Learning Engineer jobs in Peoria, IL are:
What cities near Peoria, IL are hiring for Remote Machine Learning Engineer jobs? Cities near Peoria, IL with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Peoria, IL as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $126,346 per year, or $60.7 per hour.
Embedded Software Engineer - Remote Control and Autonomy

Embedded Software Engineer - Remote Control and Autonomy

TriOptus LLC

Chillicothe, IL • On-site, Remote

$119K - $156K/yr

Contractor

Posted 21 days ago

Job description

Description:
This position is for a Remote-Control Software Engineer to support the Surface Handling Autonomy and Remote Control, group. The individual hired for this position will work as part of an engineering team to develop software, integrate, and test features on embedded electronic control systems for use in remote control machine applications.
Embedded Software Engineer for the remote control and autonomy sub-teams. Working on new technology in the area of remote control and autonomy projects.
Responsibilities:
Remote Control feature development in embedded C and C++
Issue resolution through triage and troubleshooting
Agile Sprint environment
Validation plan development
Coordination with a global team of machine, systems, software, and validation teams
Ability to work effectively with a culturally diverse work group
Techinical Skills Required:
-4+ years of relevant engineering development work experience in embedded software development, systems
design, or product validation.
-Combination of up to 4 years of embedded C/C++ experience.
-Experience in the areas of robotics, remote control, or autonomy
-Experience with datalinks (CAN, Ethernet, etc.) and associated tools (CANape, Wireshark, etc.)
-Experience with software development tools such as git, debuggers, and compilers
-Linux experience
-Experience developing with embedded real-time software or systems for mobile, earthmoving, agricultural, industrial,
or off-highway applications desired.
Soft Skills Required:
-The individual should be a self-starter, highly motivated, able to learn at an accelerated pace, and willing to put in the
time to get the job done.
-Great teamwork, communication, analysis, and troubleshooting skills are required.
Education & Experience Required:
Bachelor's degree (or equivalent) in an accredited Engineering or Computer Science or equivalent technical field.
4+ years of relevant engineering development work experience in embedded software development, systems design, or product validation.
Combination of up to 4 years of embedded C/C++ experience.
Great teamwork, communication, analysis, and troubleshooting skills are required.
The individual should be a self-starter, highly motivated, able to learn at an accelerated pace, and willing to put in the time to get the job done.
Required Skills : CAN,Embedded Software Full Lifecycle,Robotics,C++,C
Basic Qualification :
Additional Skills : IoT Software Engineer,Embedded Engineer,Software Developer
Background Check : No
Drug Screen : No

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