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Manager Remote Machine Learning Engineer Jobs in Boiling Springs, NC

Controls Engineer

Dallas, NC · Remote

$99K - $115K/yr

... machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy ... Daniels Health is a global leader in healthcare waste management and infection prevention ...

Controls Engineer

Bessemer City, NC · Remote

$99K - $115K/yr

... machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy ... Daniels Health is a global leader in healthcare waste management and infection prevention ...

Senior Controls Engineer

Dallas, NC · Remote

$125K - $141K/yr

... machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy ... Daniels Health is a global leader in healthcare waste management and infection prevention ...

... machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy ... Daniels Health is a global leader in healthcare waste management and infection prevention ...

Technical Consulting Manager II __ Your role and responsibilities: As a Protection & Control ... While this is a full remote position, there is preference for candidates located in the Northern ...

Technical Consulting Manager II __ Your role and responsibilities: As a Protection & Control ... While this is a full remote position, there is preference for candidates located in the Northern ...

... Remote Operations Engineer at the Madrid ROC, you will be part of the strategic core ensuring the ... You will manage communications with customers and field technicians during urgent incidents. You ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

Sales Support Manager __ As a Strategic Segment Proposal Engineer, you will be responsible for ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote Based in the US, Preferably in Eastern and Central time zones Travel: As needed to support ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote Based in the US, Preferably in Eastern and Central time zones Travel: As needed to support ...

A University Degree in Engineering, Business Administration, or a PMP certification. * Fluency in ... Your Skills * PMO & Remote Leadership: Experience in managing complex projects and leading teams ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote based in US, preferably in ET and CT time zones Travel: As required to support strategic ...

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Manager Remote Machine Learning Engineer information

See Boiling Springs, NC salary details

$25.9K

$58.3K

$98.1K

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

As of Aug 26, 2026, the average yearly pay for manager remote machine learning engineer in Boiling Springs, NC is $58,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,200.00 and $63,300.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

Controls Engineer

Daniels Health

Dallas, NC • Remote

$99K - $115K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Daniels Health rating

6.3

Company rating: 6.3 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Daniels Health is seeking an experienced Controls Engineer to join our growing US engineering team and help design, build, and optimize the next generation of automated medical waste processing systems. This is a hands‑on, high‑impact role where you will work at the intersection of PLC control systems, robotics, and machine vision in safety‑critical, high‑throughput industrial environments. If you enjoy complex automation challenges and want your work to have meaningful impact across healthcare safety and environmental outcomes, this role offers both technical depth and scale.
 
Daniels Health is a global leader in healthcare waste management and infection prevention, partnering with hospitals and health systems across the United States and internationally.
 
We are experiencing strong and sustained growth, driven by expanding healthcare demand and continued investment in automation, robotics, and advanced manufacturing. This is a hybrid role. Travel will be required throughout the USA and Canada and some other overseas locations. Travel to Taylor, Michigan will be required for Induction training. 
What You Will Do:
  • Design, develop, program, and maintain PLC‑based control systems for advanced medical waste processing equipment,
  • Integrate, program, and commission industrial robots for material handling, sorting, and automated processing
  • Design, implement, and optimize machine vision systems for detection, classification, inspection, and process verification
  • Train, tune, and validate vision models to ensure accuracy, robustness, and regulatory compliance
  • Collaborate with mechanical, electrical, robotics, and software engineering teams to deliver fully integrated automation solutions
  • Support commissioning, troubleshooting, and root‑cause analysis across controls, robotics, and vision systems
  • Prepare and review electrical, hydraulic, and pneumatic control drawings for new equipment and system upgrades
  • Develop system documentation including functional specifications, control narratives, operator manuals, maintenance documentation, and validation protocols
  • Ensure all control system designs comply with applicable US medical waste, environmental, and machine safety regulations
  • Work closely with suppliers, system integrators, and external service providers to deliver projects on time and to specification
  • Drive continuous improvement in automation performance, reliability, safety, and sustainability
About You:
  • Bachelor’s degree in Electrical Engineering, Mechatronics, Automation Engineering, or a related discipline
  • 4+ years of experience in a controls or automation engineering role
  • Strong PLC and HMI programming experience with platforms such as Allen‑Bradley, Siemens, Beckhoff, or Automation
  • Direct Hands‑on industrial robotics experience including programming, commissioning, and safety integration (FANUC, ABB, KUKA, Hyundai, or similar)
  • Strong machine vision experience using Cognex, Keyence, OpenCV, or comparable systems
  • Solid understanding of industrial communication protocols including EtherNet/IP, Modbus, and OPC UA
  • Experience with motion control, servo systems, and safety‑rated automation components
  • Ability to read and create electrical schematics, P&IDs, and mechanical drawings
  • Experience working in regulated or safety‑critical environments such as medical, pharmaceutical, or waste processing is highly desirable
  • Strong troubleshooting, analytical, and problem‑solving skills
  • Excellent written and verbal communication skills and the ability to collaborate across cross‑functional teams
  • Ability to work independently and manage projects with multiple stakeholders and vendors
  • Willingness to travel domestically and internationally as required
Why Join Daniels?
  • Work on large‑scale, complex industrial automation systems with real‑world impact
  • Be part of a rapidly growing organization investing heavily in robotics, machine vision, and advanced controls
  • High autonomy with strong engineering influence and end‑to‑end system ownership
  • Career growth aligned with a scaling US and global business
  • Purpose‑driven work in a highly regulated, safety‑critical environment
“The pay range for this position is $99,395 to $115,395 salary. Actual compensation within this range will depend on factors unique to each candidate, such as prior experience, skill, certifications, and work location. Pay variations by location reflect local conditions and differences in the cost of labor. 
 
At Daniels Health, we are committed to supporting our employees’ well-being, work-life balance, and career growth through a comprehensive benefit package. Eligible employees enjoy benefits such as medical, dental, and vision insurance, retirement savings plans with company match contributions, paid vacation and sick time, wellness resources, life insurance, and professional development opportunities.”
Check out what our engineering teams do!
 
https://youtu.be/Czre5y3WvDs?si=qJWpLS5MIwIzPXJ4

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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