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Remote Machine Learning Engineer Jobs in Columbus, OH

Deutz

Remote Field Service Technician III

Columbus, OH · On-site +1

... our machinery. The Remote Field Service Technician will perform field-related preventative ... and engineering/warranty department. This role requires robust problem-solving skills with the ...

Varsity Tutors

Linear Algebra Tutor

Columbus, OH · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Mechanical Engineering Tutor

Columbus, OH · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Sargent & Lundy

Lead EHV Engineer 2 - Grid

Columbus, OH · On-site +1

$99K - $130K/yr

... remote from home. Our Grid business unit is seeking an experienced Lead EHV Substation Engineer ... Develop your career via peer-learning through sharing of knowledge with other experienced engineers ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Columbus, OH

Remote Machine Learning Engineer information

See Columbus, OH salary details

$30.4K

$124.4K

$186.9K

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

As of Jul 16, 2026, the average yearly pay for remote machine learning engineer in Columbus, OH is $124,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $149,700.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Columbus, OH? The most popular types of Machine Learning Engineer jobs in Columbus, OH are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Columbus, OH? For Remote Machine Learning Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Machine Learning Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Machine Learning Engineer jobs? Cities near Columbus, OH with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you

Condition Monitoring Application Engineer

AssetWatch, Inc.

Columbus, OH • Remote

$85K - $105K/yr

Full-time

Retirement, PTO

Posted 23 days ago

Job description

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.

What's the Opportunity

The primary function of the Condition Monitoring Application Engineer (CMAE) is to support the sales process by providing technical expertise and tribal knowledge to the sales team. As a CMAE you will be a main factor in engineering a solution for our customers with our offerings. This role works closely with sales, the condition monitoring team, and customers. You will:

  • Support solutions architects in the sales process as the subject matter expert in condition monitoring.
  • Establish credibility with customers to encourage higher opportunity-to-trial conversion rates.
  • Ensure high-quality asset lists to enable higher trial-to-subscription rates.
  • Assist in engineering a solution that best fits the needs of the customer.
  • Track the success of the asset review call and provide recommendations to enhance the same.
  • Track and suggest ways to improve the average monitoring point/trial.
  • Acquire extensive expertise in AssetWatch products, encompassing technical aspects, to effectively secure trials that incorporate a diverse range of AssetWatch offerings.
  • Analyze vibration and temperature data at client sites, customizing data processing to the client's asset and determining if maintenance is needed.
  • Attend tradeshows to assist the sales team with technical knowledge and lead capture.
  • Evaluate machinery health and condition through the detailed analysis of vibration data.
  • Expand AssetWatch's expertise in machine condition monitoring, beyond vibration analysis, to include other condition-monitoring technologies.
  • Work closely with the product development team to create high-value hardware and software solutions and expanded product offerings.
  • Provide high-quality, actionable information to clients (e.g., setting appropriate alarm levels with analytical tools, to alert customers of pending failures).

Qualifications

  • Strong communication skills and ability to discover pain points for the customer and drive towards a solution.
  • Valid Vibration Category II, MLA/MLT Certifications preferred.
  • 3+ years of relevant experience with vibration data collection and analysis.
  • Strong mechanical background with industrial equipment — centrifugal and reciprocating compressors, turbines, blowers, pumps, gearboxes, hydraulics, pneumatics, etc.
  • Proficient in developing optimum corrective actions based on findings of acquired field vibration analysis data, observations, and discussions with key plant personnel.
  • Sales or account management experience is a plus but not required.
  • Desire to work in a "startup" environment and have a "startup" mentality.
  • Customer-focused — desire and knowledge to understand customer needs; provide personalized, professional service, accurate information, and continuous communication.
  • Demonstrate integrity — behave ethically, act fairly, and take responsibility for accomplishing work.
  • Eligibility to work in the U.S. without sponsorship.
  • Ability to commit to travel up to 50% for 2–3 days at a time.

#LI-REMOTE

The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process.

The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.

AssetWatch Salary Range (US)
$85,000—$105,000 USD
What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that's why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.
  • Competitive compensation package including stock options
  • Flexible work schedule
  • Comprehensive benefits including retirement plan match
  • Opportunity to make a real impact every day
  • Work with a dynamic and growing team
  • Unlimited PTO
We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.