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Remote Unique Learning System Jobs in Atlanta, GA

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

PrizePicks

Machine Learning Platform Engineer

Atlanta, GA · On-site +1

$155K - $185K/yr

Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... systems meeting latency and throughput requirements Work with large-scale pathology datasets to ...

Danaher

Pricing Manager - Remote

Atlanta, GA · On-site +1

... unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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All JobsUnique Learning System JobsRemote Unique Learning System JobsRemote Unique Learning System Jobs in Atlanta, GA

Remote Unique Learning System information

See Atlanta, GA salary details

$18

$35

$55

How much do remote unique learning system jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote unique learning system in Atlanta, GA is $35.85, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $45.10 per hour, depending on experience, location, and employer.

What is the difference between Remote Unique Learning System vs Remote Special Education Teacher?

AspectRemote Unique Learning SystemRemote Special Education Teacher
Required CredentialsSpecialized training in learning systems, certifications in educational technologyState teaching certification, special education credentials
Work EnvironmentOnline platform, remote, often project-basedRemote classroom, virtual teaching via video conferencing
Employer & Industry UsageEdTech companies, online learning providersSchool districts, educational institutions
Common Search & ComparisonYesYes

The Remote Unique Learning System focuses on implementing specialized educational technology solutions, often within online platforms, requiring tech-specific certifications. In contrast, a Remote Special Education Teacher provides direct instruction and support to students with disabilities, typically holding teaching credentials. Both roles are remote but differ in credentials, work environment, and industry usage, catering to different aspects of education.

What are some common challenges faced when working remotely as an educator using the Unique Learning System, and how can they be managed?

Educators using the Unique Learning System (ULS) remotely often face challenges like maintaining student engagement, adapting lesson plans for virtual delivery, and ensuring accessibility for diverse learners. To overcome these, it's helpful to utilize ULS’s interactive digital resources, set clear communication channels with students and caregivers, and regularly collaborate with support staff and therapists. Scheduling consistent check-ins and leveraging ULS’s progress monitoring tools also ensures that students' needs are met effectively, even from a distance.

What are the key skills and qualifications needed to thrive as a remote Unique Learning System specialist?

To thrive as a Remote Unique Learning System Specialist, you need a solid background in special education, instructional design, and familiarity with curriculum adaptation, typically supported by a degree in education or a related field. Expertise in using the Unique Learning System platform, as well as proficiency with virtual classroom tools and assistive technologies, is essential. Strong communication, patience, and problem-solving skills help in effectively supporting students, teachers, and parents remotely. These skills are crucial for delivering personalized, accessible educational experiences and ensuring student success in a virtual learning environment.

What is a remote Unique Learning System specialist?

A Remote Unique Learning System specialist is an educator or support professional who uses the Unique Learning System (ULS), an online curriculum specifically designed for students with special needs, to teach or assist students remotely. They adapt lessons, provide instructional support, and monitor student progress using the ULS platform from a remote location. This role often involves collaborating with other educators, supporting families, and ensuring that students receive individualized instruction that meets their learning goals, all through virtual tools.
What are popular job titles related to Remote Unique Learning System jobs in Atlanta, GA? For Remote Unique Learning System jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Unique Learning System jobs in Atlanta, GA look for? The top searched job categories for Remote Unique Learning System jobs in Atlanta, GA are:
Remote Unique Learning System jobs near you
Infographic showing various Remote Unique Learning System job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,572 per year, or $35.9 per hour.

Staff Machine Learning Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$220K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What you'll do:
  • Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.
What you have:
  • 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
  • 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
  • Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
  • Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
  • Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.
What makes you stand out:
  • Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $220,000 to $280,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 4/16/2026
1st Extension: 5/16/2026
2nd Extension: 6/16/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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