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Multimodal Learning Jobs in Atlanta, GA (NOW HIRING)

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Develop model feedback loops to support continuous learning and performance improvement. * Build ... Explore emerging technologies such as generative AI, digital twins, multimodal foundation models ...

VHB

Energy Career Opportunities at VHB

Atlanta, GA · On-site

From multimodal transportation and renewable energy production to climate-positive buildings, our ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

VHB

Transmission Line Engineer - Senior

Atlanta, GA · Hybrid

$120K - $181K/yr

... multimodal transport to renewable energy power to climate-positive buildings. Together, we are ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

KPMG

Director, AI Strategy Architect

Atlanta, GA · On-site

With a wealth of learning and career development opportunities, a world-class training facility ... multimodal solutions, ensuring seamless integration, quality, scalability, and security within ...

VHB

Transmission Line Engineer - Senior

Atlanta, GA · On-site

$120K - $181K/yr

... multimodal transport to renewable energy power to climate-positive buildings. Together, we are ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

TEKsystems

Senior Conversational Designer

Alpharetta, GA · Hybrid

$75 - $96/hr

Lead the design of immersive conversational experiences across chat, multimodal, and generative AI ... learning. Work Environment This is a hybrid role requiring three days per week in the office.

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All JobsMultimodal Learning JobsMultimodal Learning Jobs in Atlanta, GA

Multimodal Learning information

See Atlanta, GA salary details

$20.2K

$59.3K

$110.1K

How much do multimodal learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for multimodal learning in Atlanta, GA is $59,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,400.00 and $69,200.00 per year, depending on experience, location, and employer.

What is multimodal learning?

Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.

What is the difference between Multimodal Learning vs Data Scientist?

AspectMultimodal LearningData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness, tech companies, analytics teams
Industry UsageAI research, multimedia applications, roboticsData analysis, predictive modeling, business insights

Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.

What are the key skills and qualifications needed to thrive in multimodal learning, and why are they important?

To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.

What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?

Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.
What are popular job titles related to Multimodal Learning jobs in Atlanta, GA? For Multimodal Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Multimodal Learning jobs in Atlanta, GA look for? The top searched job categories for Multimodal Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Multimodal Learning jobs? Cities near Atlanta, GA with the most Multimodal Learning job openings:
Multimodal Learning jobs near you

Sr Advanced AI Engineer

Honeywell

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers

Job description


As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for smart buildings and industrial automation systems. Your primary focus will be building advanced ML models, integrating them into real-world control environments, and driving innovation across HVAC, lighting, security, and energy optimization. You will collaborate cross-functionally, mentor junior engineers, and influence multiple projects with your technical expertise.
Responsibilities
  • AI Solutions Design & Integration
    • Design and integrate AI/ML models into Building Management Systems (BMS) and Industrial Control Systems (ICS), including SCADA and PLC environments.
    • Implement real-time API-based and batch-inference workflows.
    • Develop model feedback loops to support continuous learning and performance improvement.
    • Build algorithms for real-time decision-making using sensor, IoT, and industrial process data.
  • Data Engineering
    • Partner with Data Engineering teams on ETL workflows and data preparation for large-scale building and industrial datasets (e.g., HVAC telemetry, energy consumption, machine performance).
    • Contribute to feature engineering and ensure data readiness for modeling
    • Support the development of training pipelines that leverage model registries and tracking systems.
  • Innovation & Research
    • Explore emerging technologies such as generative AI, digital twins, multimodal foundation models, and autonomous control systems.
    • Lead proof-of-concept initiatives and mentor junior engineers through early-stage experimentation.
    • Translate innovative concepts into practical solutions for automation and building intelligence.
  • Performance Optimization
    • Collaborate with MLOps teams to optimize real-time inference across platforms (AKS, GKE, on-prem microk8s).
    • Work with production-ready inference runtimes such as vLLM, ONNX Runtime, and NVIDIA Triton.
    • Contribute to model conversion, quantization, and optimization for efficient inference.
    • Partner with platform engineers on deployment strategies, scalability, and monitoring.
  • Compliance & Security
    • Ensure all AI solutions comply with cybersecurity standards and industrial safety protocols.
    • Maintain training and inference repositories to meet corporate and industry security requirements.

Qualifications
MUST HAVE
  • Technical Expertise
    • Strong proficiency in Python and ML libraries such as PyTorch, TensorFlow, JAX, XGBoost, and scikit-learn.
    • Experience with Kubernetes, Databricks, or comparable platforms.
    • Familiarity with CI/CD practices for AI/ML workflows.
    • Working knowledge of PySpark for data exploration and pipeline contributions.
    • Strong debugging, profiling, and performance engineering skills in Python.
  • AI/ML Knowledge
    • Expertise in one or more key domains: NLP, time-series forecasting, computer vision, or reinforcement learning.
    • Ability to build models with noisy or sparsely labeled datasets.
    • Experience using MLflow or similar tools for tracking, reproducibility, and model registry.
    • Knowledge of converting models for production inference (TorchScript, ONNX).
    • Experience with model performance optimization (e.g., quantization, latency tuning).
    • Working knowledge of applying, fine-tuning, and optimizing foundation models for domain-specific tasks across text, vision, or time-series modalities.
    • Ability to make informed accuracy-cost trade-offs during model design.
  • Innovation Skills
    • Ability to identify emerging AI trends and translate them into practical solutions.
    • Experience in rapid prototyping, proof-of-concept development, and technology scouting.
    • Strong problem-solving mindset with a focus on creative and disruptive solutions.
  • Cloud & Edge Computing
    • Knowledge of AI/ML offerings from major cloud providers (Azure, GCP, or AWS).
    • Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory.
  • Education & Experience
    • Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's degree preferred.
    • Bachelor's + 6 years of relevant AI/ML experience
    • Master's + 4 years of relevant AI/ML experience
    • PhD + 2 years of relevant AI/ML experience

WE VALUE
  • Experience optimizing deep learning models for NVIDIA Jetson-based edge systems.
  • Experience contributing to platform-agnostic AI/ML solutions.
  • Proven end-to-end ownership of the ML lifecycle, including training, deployment, and feedback loops.
  • Experience with smart building platforms, SCADA systems, or energy management solutions.
  • Demonstrated success delivering innovative AI solutions within automation domains.

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 03/27/2026.
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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