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Robust Intelligence Jobs in Atlanta, GA (NOW HIRING)

Waystar

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence ...

Patientco

Senior ML Engineer II

Atlanta, GA

$100K - $138K/yr

Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured ... Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence ...

Saxon Global

Technology Analyst - .Net

Atlanta, GA

Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools ... Net applications Write server-side code for web-based applications, create robust high-volume ...

Incident IQ

AI DevEx Engineer

Alpharetta, GA · On-site

... robust skills, tools, and agents for our internal Claude Code plugins, eventually scaling this architecture to support multiple distinct engineering workflows. • Agent Intelligence (The "Brain"

Qcells

Sr. Cyber Security Engineer

White, GA

... threat intelligence frameworks to safeguard Smart factory systems and critical infrastructure ... ensuring robust segmentation and control of internal and external communications. * Drive the ...

Sage Dental

General Dentist

Tucker, GA

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients Employment Type: Full Time

Sage Dental

General Dentist

Buford, GA

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients Employment Type: Full Time

New

Sage Dental

General Dentist

Lawrenceville, GA · On-site

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients

Rivago infotech inc

BI Architect

Atlanta, GA · On-site

... Business Intelligence and Analytics, specializing in report and data migration projects. • ... into robust BI solutions. •   Develop and manage Power BI datasets, data models, DAX ...

Waystar, Inc

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured ... Intelligence, Statistics, or a related quantitative field. Ph.D. preferred. 5+ years of ...

Sage Dental

General Dentist

Lawrenceville, GA · On-site

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients

Sage Dental

General Dentist

Atlanta, GA · On-site

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients

Sage Dental

General Dentist

Tucker, GA · On-site

Innovative Artificial Intelligence (AI) technologies used * Total clinical autonomy for your ... Robust marketing program helps drive growth and deliver new patients

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Showing results 41-60

All JobsRobust Intelligence JobsRobust Intelligence Jobs in Atlanta, GA

Robust Intelligence information

See Atlanta, GA salary details

$10.6K

$96.7K

$127.9K

How much do robust intelligence jobs pay per year?

As of Aug 23, 2026, the average yearly pay for robust intelligence in Atlanta, GA is $96,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $127,400.00 per year, depending on experience, location, and employer.

What is the difference between Robust Intelligence vs Data Scientist?

AspectRobust IntelligenceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fieldsBachelor's or higher in CS, Statistics, or related fields
Work EnvironmentTech companies, AI research labs, product developmentData analysis, modeling, and research in various industries
Employer & Industry UsageAI-focused companies, startups, tech giantsBusiness, finance, healthcare, tech sectors

Robust Intelligence professionals focus on developing resilient AI systems that perform reliably under diverse conditions, often working in AI research and product development. Data Scientists analyze data to extract insights, build models, and support decision-making across multiple industries. While both roles require strong technical skills and a background in data or AI, Robust Intelligence emphasizes system robustness and reliability, whereas Data Scientists focus on data analysis and modeling.

What does Robust Intelligence do?

Robust Intelligence is a company that develops AI and machine learning solutions focused on creating reliable, secure, and scalable systems. Employees in related roles often work with data analysis, model development, and testing to ensure AI performance under various conditions.

What are popular job titles related to Robust Intelligence jobs in Atlanta, GA?

For Robust Intelligence jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Robust Intelligence jobs in Atlanta, GA look for?

The top searched job categories for Robust Intelligence jobs in Atlanta, GA are:

Robust Intelligence jobs near you

Senior ML Engineer II

Waystar

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

ABOUT THIS POSITION
We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team, you will be instrumental in developing the entire ML pipeline, from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework.
This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world, high-impact problem, leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.
WHAT YOU'LL DO
Data Pipeline & Knowledge Base Construction:
  • Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE).
  • Develop rich, nested JSON schemas for representing structured data and ensure scalable storage
  • Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.

Language Model (LM) Development & Fine-tuning:
  • Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.
  • Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on curated, domain-specific datasets to achieve precise performance for tasks like coverage determination, code lookups, and policy rule application.
  • Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.

Agentic System Design & Implementation:
  • Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.
  • Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.

MLOps & Deployment:
  • Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.
  • Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).

Continuous Improvement & Research:
  • Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.
  • Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.
  • Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.

Collaboration:
  • Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.

WHAT YOU'LL NEED
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field. Ph.D. preferred.
  • 5+ years of professional experience in machine learning engineering, with a strong track record of deploying and maintaining ML models in production environments.
  • Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn).
  • Deep understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning techniques, as well as deep learning architectures.
  • Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services.
  • Proficiency in building and managing data pipelines using tools like Spark, Kafka, SQL, and NoSQL databases.
  • Demonstrated experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker, Airflow).
  • Excellent problem-solving skills and the ability to work independently on complex issues.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team.
  • Experience in the healthcare technology domain is a significant plus.
  • Proven ability to lead technical initiatives and influence architectural decisions.

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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