... engineering and system behaviour, with a process-driven approach to managing issues, QA, and ... Familiarity with AI systems, natural language processing tools, or machine learning products
... engineering and system behaviour, with a process-driven approach to managing issues, QA, and ... Familiarity with AI systems, natural language processing tools, or machine learning products
L1 Troubleshooter Madrid
Crouse, NC · On-site +1
... Remote Operations Engineer at the Madrid ROC, you will be part of the strategic core ensuring the ... You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped.
L1 Troubleshooter Madrid
Crouse, NC · On-site +1
... Remote Operations Engineer at the Madrid ROC, you will be part of the strategic core ensuring the ... You will use advanced SCADA and SAP tools to diagnose why a multi-million euro machine has stopped.
Remote Machine Learning Engineer information
See Hickory, NC salary details
$28.2K - $41.4K
1% of jobs
$41.4K - $54.6K
1% of jobs
$54.6K - $67.8K
5% of jobs
$67.8K - $80.9K
6% of jobs
$91.8K is the 25th percentile. Wages below this are outliers.
$80.9K - $94.1K
14% of jobs
$94.1K - $107.3K
14% of jobs
The median wage is $113.9K / yr.
$107.3K - $120.5K
18% of jobs
$120.5K - $133.7K
14% of jobs
$136.4K is the 75th percentile. Wages above this are outliers.
$133.7K - $146.9K
12% of jobs
$146.9K - $160.1K
11% of jobs
$160.1K - $173.2K
5% of jobs
$28.2K
$115.3K
$173.2K
How much do remote machine learning engineer jobs pay per year?
As of Aug 25, 2026, the average yearly pay for remote machine learning engineer in Hickory, NC is $115,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,800.00 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 cities near Hickory, NC are hiring for Remote Machine Learning Engineer jobs?
Cities near Hickory, NC with the most Remote Machine Learning Engineer job openings:
Circana rating
6.1
Based on 10 frontline employees who took The Breakroom Quiz
72nd of 74 rated research
Job description
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana.
Learn more at www.circana.com.
What will you be doing?
We are seeking a user-focused, detail-oriented, resourceful individual to support the ongoing success of Emiri client deployments. This role bridges product support, user experience, and development by investigating issues, coordinating resolutions, coaching commercial teams, and managing communication between users, client service teams, and product development.
Job Responsibilities
- Apply a voice of customer lens to user feedback and issues to surface enhancement opportunities and influence the product roadmap
- Own issue root cause identification and resolution to triage root causes between feature enhancements, system bugs, and user education
- Coach commercial teams on the configuration and functionality of Liquid AI; support key client meetings and demos
- Support setup, configuration, and QA of client models
- Drive continuous improvement of support processes, tools and user education materials
- Clearly communicate guidance and resolutions to users or internal teams
- Test new enhancements or fixes prior to release to ensure quality and expected behaviour
- Prepare concise write-ups of confirmed bugs or feature requests for the development team
Requirements
- Familiarity with Circana tools, including Unify+, model/report building, and ideally Emiri
- Background in product or client support, operations, or troubleshooting technical issues, ideally with a focus on data-driven AI tools
- Analytical and problem-solving skills, with the ability to investigate user reports, logs, and system behaviour to identify root causes
- Strong organizational skills to support multiple client deployments and maintain flawless on-time delivery and service levels
- Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams
- Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops
- Familiarity with AI systems, natural language processing tools, or machine learning products
- Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems
- 7+ years of experience in client support for data analytics and reporting
Circana Behaviours
As well as the technical skills, experience and attributes that are required for the role, our shared behaviours sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviour's throughout the business within their day-to-day role:
- Stay Curious: Being hungry to learn and grow, always asking the big questions.
- Seek Clarity: Embracing complexity to create clarity and inspire action.
- Own the Outcome: Being accountable for decisions and taking ownership of our choices.
- Center on the Client: Relentlessly adding value for our customers.
- Be a Challenger: Never complacent, always striving for continuous improvement.
- Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
Commit to each other: Contributing to making Circana a great place to work for everyone
#LI-REMOTE
About Circana
Sourced by ZipRecruiter
Industry
Marketing research
Company size
5,001 - 10,000 Employees
Headquarters location
Chicago, IL, US
Year founded
2023