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Remote Machine Learning Engineer Jobs in Lawrenceville, GA

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to ...

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Senior Incident Management Practice Engineer

Atlanta, GA · On-site +1

$110K - $151K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Atlanta, GA · On-site +1

$110K - $151K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Senior Incident Management Practice Engineer

Atlanta, GA · On-site +1

$110K - $151K/yr

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive ... This role is not eligible for work sponsorship Limited Geography Remote - This is a remote position ...

Applied AI Engineer

Atlanta, GA · On-site +1

$170K - $230K/yr

Fully Remote (in the US) Salary: $170-230k DOE About the Product We build visual operations and ... Computer vision or image-based machine learning is your primary strength, whether in 2D, 3D, or ...

Atlanta, GA* (Hybrid Remote) | Position Type: Full-Time Are you ready to take on a career-defining ... Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future ...

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Background supporting machine learning or real-time decisioning use cases from a platform point of ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

... and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

... machine learning techniques into analytical workflows, and translate complex datasets into ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

Showing results 41-60

Remote Machine Learning Engineer information

See Lawrenceville, GA salary details

$27.2K

$111.2K

$167.1K

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

As of Aug 11, 2026, the average yearly pay for remote machine learning engineer in Lawrenceville, GA is $111,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $133,900.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Machine Learning Engineer jobs in Lawrenceville, GA? The most popular types of Machine Learning Engineer jobs in Lawrenceville, GA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Lawrenceville, GA? For Remote Machine Learning Engineer jobs in Lawrenceville, GA, the most frequently searched job titles are:
What cities near Lawrenceville, GA are hiring for Remote Machine Learning Engineer jobs? Cities near Lawrenceville, GA with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Lawrenceville, GA as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,216 per year, or $53.5 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 18 days ago


Job description

Data Scientist
Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.