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Remote Machine Learning Engineer Jobs in Ames, IA

... autonomous machines. Their technology helps farmers address labor shortages, reduce capital ... Bachelor's degree in Agribusiness, Business, Engineering, or related field (or equivalent ...

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

As of Sep 6, 2026, the average yearly pay for remote machine learning engineer in Ames, IA is $125,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

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.

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

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 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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Ames, IA?

The most popular types of Machine Learning Engineer jobs in Ames, IA are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Ames, IA?

For Remote Machine Learning Engineer jobs in Ames, IA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Ames, IA look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Ames, IA are:

What cities near Ames, IA are hiring for Remote Machine Learning Engineer jobs?

Cities near Ames, IA with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Ames, IA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,961 per year, or $60.6 per hour.

Regional Sales Manager

Sabanto

Ames, IA • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago


Job description

Regional Sales Manager - Sabanto, Inc

Company Overview

Sabanto Inc. is an innovative agricultural technology company headquartered in Ames, Iowa, pioneering autonomous solutions for farming. Sabanto develops simple, safe, and cost-effective retrofit autonomy systems that transform existing tractors into fully autonomous machines. Their technology helps farmers address labor shortages, reduce capital expenses, increase productivity, and improve sustainability through features like real-time monitoring, obstacle detection, geofencing, and mobile/desktop mission control. Products are sold both direct and through a growing network of elite dealers across the USA and abroad.

Position Summary

The Regional Sales Manager is responsible for driving sales growth of Sabanto's autonomous tractor retrofit systems within an assigned territory. This role focuses on building and expanding relationships with agricultural equipment dealers, distributors, and key farm operations. The ideal candidate will be a motivated sales professional with deep knowledge of precision agriculture, farm equipment, and the challenges facing modern row-crop and specialty crop producers. You will play a key role in expanding Sabanto's dealer network and accelerating adoption of autonomy technology.

Key Responsibilities
  • Develop and execute a regional sales strategy to meet or exceed revenue targets for Sabanto autonomy systems.
  • Identify, recruit, onboard, and support new and existing elite dealers and customers in the territory.
  • Build strong relationships with dealer principals, sales teams, and end-user farmers to drive product adoption.
  • Conduct product demonstrations, field trials, and training sessions for dealers and customers.
  • Collaborate with Sabanto's sales leadership, marketing, and technical teams to refine go-to-market approaches.
  • Monitor competitor activity, market trends, and regional agricultural needs to inform strategy.
  • Manage the full sales cycle: prospecting, qualifying opportunities, negotiating agreements, closing deals, and ensuring successful post-sale implementation.
  • Track and report on sales pipeline, forecasts, and performance metrics using CRM tools.
  • Represent Sabanto at industry trade shows, dealer events, and farm shows.
  • Provide feedback from the field to influence product development and improvements.
Qualifications and Requirements
  • Experience: 3+ years of successful sales experience in agricultural equipment, precision ag technology, industrial, SaaS or related B2B sales (dealer channel experience strongly preferred).
  • Industry Knowledge: Deep understanding or prior knowledge of agricultural business and farming/tractor/implement operations are a must.
  • Proven Track Record: Demonstrated ability to meet/exceed sales quotas and build relationships with dealers and customers.
  • Education: Bachelor's degree in Agribusiness, Business, Engineering, or related field (or equivalent experience).
  • Skills:
    • Strong interpersonal, presentation, and negotiation skills.
    • Self-motivated with excellent territory management and organizational abilities.
    • Technical aptitude to understand and articulate complex autonomy, GNSS, sensor, and software features.
    • Proficiency with CRM (e.g., Salesforce), Microsoft Office, and sales analytics tools.
  • Travel: Willingness to travel extensively within the assigned region (50-75%) and occasionally nationally.
  • Location: Remote within the assigned territory (e.g., Southeast, Midwest, Great Plains, or other key ag regions), with preference for candidates near major agricultural hubs.
Preferred Qualifications
  • Existing relationships with ag equipment dealers or large farming operations.
  • Experience selling capital equipment, precision ag hardware/software, SaaS and/or autonomy/autonomous vehicle solutions.
What Sabanto Offers
  • Competitive base salary + uncapped commission/bonus structure.
  • Comprehensive benefits package, including health insurance, 401(k), and generous vacation policy.
  • Opportunity to work at the forefront of agricultural autonomy with a passionate, innovative team.
  • Casual, flexible work environment with strong emphasis on autonomy, creativity, and career growth.
  • Chance to make a meaningful impact on the future of farming.
Employment Type: FULL_TIME