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Senior Meta Machine Learning Jobs in Decatur, GA

SAP SuccessFactors

Machine Learning Expert

Atlanta, GA

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Mentor and guide engineers from junior to senior levels, fostering technical excellence. Partner ...

SAP

Machine Learning Expert

Atlanta, GA · On-site

$152K - $254K/yr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Mentor and guide engineers from junior to senior levels, fostering technical excellence. Partner ...

SAP SE

Machine Learning Expert

Atlanta, GA · On-site

$200 - $250/hr

Machine Learning Expert Location: Atlanta, GA Work Model: Hybrid Work Model. Purpose and Objective ... Mentor and guide engineers from junior to senior levels, fostering technical excellence. Partner ...

Meta

Associate General Counsel, Commercial

Atlanta, GA · On-site +1

$170K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

YO AI Labs

Machine Learning Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Create reinforcement learning environments for software engineering tasks. * Design tasks involving ...

Workday, Inc.

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

Workday

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

About the Role As a Senior/Principal Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Decatur, GA

Senior Meta Machine Learning information

See Decatur, GA salary details

$24.4K

$78.4K

$159.6K

How much do senior meta machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior meta machine learning in Decatur, GA is $78,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $100,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Decatur, GA?

For Senior Meta Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Senior Meta Machine Learning jobs in Decatur, GA look for?

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Cities near Decatur, GA with the most Senior Meta Machine Learning job openings:

Senior Meta Machine Learning jobs near you

Machine Learning Engineer - LLMs and Agentic

Atlanta, GA • On-site

Oversight Systems Inc
See more jobs at Oversight Systems Incexternal

Full-time

Re-posted 23 days ago

Job description

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.

Core ML/LLM Engineering
  • Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
  • Implement RAG pipelines using vector databases.
  • Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
  • Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
  • Integrate memory, evidence packs, and explainability modules into agentic pipelines.
  • Work hands-on with multiple LLM ecosystems:
    • OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs).
    • Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
    • Google Gemini (multimodal reasoning, advanced RAG integration).
    • Meta LLaMA (fine-tuned/custom models for domain-specific tasks).
Data & Infrastructure
  • Collaborate with Data Engineering to build and maintain real-time and batch data pipelines that serve ML/LLM workloads.
  • Conduct feature engineering, preprocessing, and embeddings generation for structured and unstructured data.
  • Implement model monitoring, drift detection, and retraining pipelines.
  • Leverage cloud ML platforms (AWS Sagemaker, Databricks ML) for experimentation and scaling.
Research & Applied Innovation
  • Explore and evaluate emerging LLM/SLM architectures and agent orchestration patterns.
  • Experiment with generative AI and multimodal models to extend capabilities beyond text (images, structured financial data).
  • Collaborate with R&D to prototype autonomous resolution agents, anomaly detection models, and reasoning engines.
  • Translate research prototypes into production-ready components.
Collaboration & Delivery
  • Work cross-functionally with R&D, Data Science, Product, and Engineering to deliver business-aligned AI features.
  • Participate in design reviews, architecture discussions, and model evaluations.
  • Document processes, experiments, and results effectively for knowledge sharing.
  • Mentor junior engineers and contribute to ML engineering best practices.


Education, Experience and Skills

Required

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
  • 3+ years of experience building and deploying ML systems.
  • Proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.
  • Hands-on experience with LLMs/SLMs (fine-tuning, prompt design, inference optimization).
  • Demonstrated experience with at least two of the following ecosystems:
    1. OpenAI GPT models (chat, assistants, fine-tuning).
    2. Anthropic Claude (safety-first AI for reasoning and summarization).
    3. Google Gemini (multimodal reasoning, enterprise-scale APIs).
    4. Meta LLaMA (open-source, fine-tuned models).
  • Familiarity with vector databases, embeddings, and RAG pipelines.
  • Ability to work with structured and unstructured data at scale.
  • Knowledge of SQL and distributed data frameworks (Spark, Ray).
  • Strong understanding of ML lifecycle: data prep, training, evaluation, deployment, monitoring.
Preferred Qualifications
  • Experience with agentic frameworks (LangChain, LangGraph, MCP, AutoGen).
  • Knowledge of AI safety, guardrails, and explainability techniques.
  • Hands-on experience deploying ML/LLM solutions in cloud environments (AWS, GCP, Azure).
  • Experience with CI/CD for ML (MLOps), monitoring, and observability.
  • Familiarity with anomaly detection, fraud/risk modeling, or behavioral analytics.
  • Contributions to open-source AI/ML projects or publications in applied ML research.