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Remote Machine Learning Engineer Jobs in Haw River, NC

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118K - $156K/yr

The Senior Software Engineer is part of a team transforming surgeons' experience from an analog ... This fully remote position is part of the Leica Microsystems Research and Development organization ...

About the Role Our Software Engineering Manager leads a team of engineers building the platform ... Fully remote work * Monthly $50 internet reimbursement * Learning and development pathways to ...

About the Role Our Software Engineering Manager leads a team of engineers building the platform ... Fully remote work * Monthly $50 internet reimbursement * Learning and development pathways to ...

About the Role Our Software Engineering Manager leads a team of engineers building the platform ... Fully remote work * Monthly $50 internet reimbursement * Learning and development pathways to ...

About the Role Our Software Engineering Manager leads a team of engineers building the platform ... Fully remote work * Monthly $50 internet reimbursement * Learning and development pathways to ...

About the Role Our Software Engineering Manager leads a team of engineers building the platform ... Fully remote work * Monthly $50 internet reimbursement * Learning and development pathways to ...

Linear Algebra Tutor

Durham, NC · Remote

$18 - $40/hr

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

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

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

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 ...

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Showing results 1-20

Remote Machine Learning Engineer information

See Haw River, NC salary details

$22.8K

$93.1K

$139.8K

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

As of Jul 15, 2026, the average yearly pay for remote machine learning engineer in Haw River, NC is $93,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $112,000.00 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 cities near Haw River, NC are hiring for Remote Machine Learning Engineer jobs? Cities near Haw River, NC with the most Remote Machine Learning Engineer job openings:
Senior Software Engineer - USA Remote

Senior Software Engineer - USA Remote

Danaher

Durham, NC • Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Leica Microsystems, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

Shape the Future with Us!

At Leica Microsystems, we have been shaping the future for over 175 years with groundbreaking optical and digital solutions. With a culture rooted in customer focus, innovation, and teamwork, we lead the market in microscopy, imaging, and analysis, unveiling the invisible and empowering our customers to build a better, healthier world.

Joining Leica Microsystems means contributing to scientific discoveries and supporting surgeons in making critical decisions. Our advanced microscopes and AI-based image analysis solutions enable users to gain profound insights into development and engineering challenges. Here, you will work on meaningful projects alongside passionate colleagues, driving progress and pushing the boundaries of what's possible.

Learn about the Danaher Business System which makes everything possible.

The Senior Software Engineer is part of a team transforming surgeons' experience from an analog world of visualizing surgical intervention to an information rich, digital experience. This digital experience will provide real time surgical insights aimed at improving surgeon workflow and patient outcomes. This fully remote position is part of the Leica Microsystems Research and Development organization developing real-time imaging platforms and clinical applications.

In this role, you will have the opportunity to:

  • Apply deep knowledge of medical imaging workflows and experience with various healthcare interoperability standards, including DICOM, HL7 FHIR, and IEEE 11073 Service-oriented Device Connectivity, to deliver features that seamlessly integrate surgical microscopes with hospital information systems.

  • Ensure software solutions are implemented, documented, and tested, in accordance with the Leica Product Development Process, ensuring deliverables adequately meet quality, safety, regulatory, maintainability, and reliability standards.

  • Participate in project definition phase establishing project risk profile and defining project deliverables and schedule. Participate as member of sprint team doing full stack software development and conducting peer code reviews according to team coding standards within a global software team.

The essential requirements of the job include

  • Minimum 8 years' experience in application development using C# and C++

  • Detailed experience developing DICOM implementations, creating DICOM conformance statements, testing DICOM integrations and resolving interoperability issues of deployed systems in the hospital environment.

  • Ability to communicate technical decisions to nontechnical and technical audiences and advocate for recommended solutions across a global team with primary collaborators in Singapore, Europe and United States

  • Demonstrated ability to use AI-powered coding assistants (like GitHub Copilot andCursor) to accelerate development, improve code quality, and automate repetitive tasks.

It would be a plus if you also possess previous experience with multiple of the tools, specialties, and protocols that our teams use:

  • Process Tools - Azure DevOps Services; Git version control system; JAMA; JIRA; AWS Infrastructure tools for data collection, management, and model development; WiX Toolset and Windows installer technology; NuGet package management; Microsoft .NET Framework, Visual Studio Development Environment

  • Specialties: Multi-threaded hardware device control; serial communications protocols; Frame Grabber Image Acquisition; GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework

  • Protocols Experience: MQTT; ONNX Runtime; DICOM; HL7 FHIR; IEEE 11073; IHE

Leica Microsystems, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.

At Leica Microsystems we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Leica Microsystems can provide.

Theannualsalary range for this role is$128-143K.This is the range that we in good faith believe is the range ofpossible compensationfor this role at the time of this posting. This range may bemodifiedin the future.

This job is also eligible for bonus/incentive pay. #LI-Remote

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

The U.S. EEO posters are available here.

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.


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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984