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Remote Machine Learning Robotics Jobs in Atlanta, GA

Lead Data Scientist

Atlanta, GA ยท On-site

$163K - $204K/yr

Experience with cloud-based machine learning platforms, specifically AWS SageMaker . * Background ... Please note that visa sponsorship is not available for this position. #LI-GK1 #LI-Remote The pay ...

Data Scientist I

Atlanta, GA ยท On-site +1

Define, develop, and refine analytical, statistical, and machine learning algorithms for advanced ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

AI Engineer

Atlanta, GA ยท On-site +1

AI Engineer | US | Remote Travel obsessed? Big tech fan? Hey, you're in good company. If you want ... Apply machine learning and data analysis techniques to improve model performance * Assist in fine ...

Data Engineer - GCP

Atlanta, GA ยท On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Senior DevOps Engineer (US REMOTE)

Atlanta, GA ยท Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

New

SDLC Engineer - AI Trainer

Atlanta, GA ยท Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Showing results 1-20

Remote Machine Learning Robotics information

See Atlanta, GA salary details

$31.3K

$61.3K

$95.7K

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

As of Jun 24, 2026, the average yearly pay for remote machine learning robotics in Atlanta, GA is $61,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $72,100.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What job categories do people searching Remote Machine Learning Robotics jobs in Atlanta, GA look for? The top searched job categories for Remote Machine Learning Robotics jobs in Atlanta, GA are:
Lead Data Scientist

Lead Data Scientist

New Relic

Atlanta, GA โ€ข On-site

$163K - $204K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!
Your opportunity
As a Lead Data Scientist, you will be a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that power strategic decision-making. You will work at the intersection of product, engineering, and strategy to uncover deep insights from our vast telemetry data. In this high-impact individual contributor role, you will set the standard for technical excellence, architect scalable data science frameworks, and mentor junior data scientists, all while solving complex problems in the observability space.
What you'll do
  • Lead the design, development, and deployment of advanced ML models and predictive algorithms to solve critical business problems, such as churn prediction, user segmentation, and product usage forecasting.
  • Serve as a technical subject matter expert, guiding the team on best practices in statistical analysis, experimentation design, and code quality.
  • Partner with PMs and Engineers to translate ambiguous business questions into rigorous data science projects with actionable outcomes.
  • Drive the adoption of MLOps best practices, ensuring models are scalable, reproducible, and monitored effectively in production.
  • Perform deep-dive analyses on user behavior and product performance to identify opportunities for optimization and growth.
  • Mentor and coach other data scientists and analysts, fostering a culture of continuous technical learning and innovation.
  • Communicate complex technical findings to non-technical stakeholders through compelling data storytelling and visualization.

This role requires
  • 7+ years of experience in DS, Statistics, or a related field, with a proven track record of delivering high-impact machine learning solutions.
  • Expert-level proficiency in Python for data manipulation, statistical analysis, and model development (pandas, scikit-learn, numpy, etc.).
  • Advanced knowledge of SQL for complex data querying and performance optimization.
  • Strong hands-on experience with a breadth of modeling techniques, including:
    • Supervised learning (Regression, Random Forests, Gradient Boosting like XGBoost/LightGBM)
    • Unsupervised learning (Clustering, Dimensionality Reduction)
    • Time series forecasting (ARIMA, Prophet)
  • Experience with dbt for data transformation and maintaining clean, reliable data pipelines.
  • Demonstrated ability to deploy models into production environments and familiarity with MLOps concepts.
  • Familiarity with software engineering practices (CI/CD, version control with Git, Jira).
  • Strong communication skills, with the ability to influence stakeholders and explain technical concepts to business audiences.
  • Expertise in developing or integrating GenAI models or AI agents into product and analytical workflows.

Bonus points if you have
  • Experience with cloud-based machine learning platforms, specifically AWS SageMaker.
  • Background in the observability.
  • Advanced degree (Master's or PhD) in a quantitative discipline.
  • Proficiency in data visualization tools (e.g., Tableau, Looker) to democratize insights.

Please note that visa sponsorship is not available for this position.
#LI-GK1 #LI-Remote
The pay range below represents a reasonable estimate of the salary for the listed position. This role is eligible for a corporate bonus plan. Pay within this range varies by work location and may also depend on job-related factors such as an applicant's skills, qualifications, and experience.
New Relic provides a variety of benefits for this role, including healthcare, dental, vision, parental leave and planning, and mental health benefits, a 401(k) plan and match, flex time-off, 11 paid holidays, volunteer time-off, and other competitive benefits designed to improve the lives of our employees.
Estimated Base Pay Range
$163,000-$204,000 USD
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us - including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.
We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
Our hiring process
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy