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Machine Translation Jobs in Georgia (NOW HIRING)

Slip Robotics

Manufacturing Engineer

Norcross, GA

$68K - $88K/yr

This person will drive the translation of product designs into scalable, efficient manufacturing ... Familiarity with machine shops and metal fabrication processes. * Experience with ERP/MES systems ...

Slip Robotics

Manufacturing Engineer

Norcross, GA · On-site

$68K - $88K/yr

This person will drive the translation of product designs into scalable, efficient manufacturing ... Familiarity with machine shops and metal fabrication processes. * Experience with ERP/MES systems ...

Emory University

Acting Professor

Atlanta, GA

... machine learning, and the integration of large-scale genomic datasets. This individual is expected to contribute to the advancement of institutional priorities in precision health and translational ...

Emory University

Acting Professor

Atlanta, GA · On-site

... machine learning, and the integration of large-scale genomic datasets. This individual is expected to contribute to the advancement of institutional priorities in precision health and translational ...

Aprio

Senior Associate, Data & AI Advisory

Atlanta, GA · On-site

Research emerging AI capabilities (large language models, machine learning, data management ... Act as a bridge between technical and business domains, the role our team calls a Data Translator ...

Emory University

Acting Professor

Atlanta, GA

... machine learning, and the integration of large-scale genomic datasets. This individual is expected to contribute to the advancement of institutional priorities in precision health and translational ...

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All JobsMachine Translation JobsMachine Translation Jobs in Georgia

Machine Translation information

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How much do machine translation jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for machine translation in Georgia is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.47 per hour, depending on experience, location, and employer.

What is a Machine Translation job?

A Machine Translation job involves developing, improving, or managing automated translation systems that convert text from one language to another. Professionals in this field work with neural machine translation models, linguistic data, and AI algorithms to enhance translation accuracy. They may also evaluate and post-edit machine-generated translations to ensure quality. Skills in computational linguistics, natural language processing (NLP), and language expertise are often required for this role.

What are the typical responsibilities and daily tasks of someone working in Machine Translation?

Professionals in Machine Translation are commonly responsible for developing, testing, and refining automated translation models and algorithms. On a daily basis, you might work on curating and preprocessing language data, evaluating the performance of translation engines, and implementing improvements based on linguistic analysis and user feedback. Collaboration is frequent with software engineers, data scientists, and linguists to ensure the models are both technically proficient and linguistically accurate. Additionally, you may participate in research to stay updated on emerging techniques, contributing to continuous advancements in translation quality and efficiency.

What are the key skills and qualifications needed to thrive in the Machine Translation position, and why are they important?

To thrive in Machine Translation, you need a strong background in computational linguistics, natural language processing (NLP), machine learning, and fluency in multiple languages, typically supported by a relevant degree or research experience. Familiarity with tools like TensorFlow, PyTorch, translation memory software, and experience with neural machine translation systems are highly valued. Excellent problem-solving skills, attention to detail, and effective collaboration are essential soft skills for this role. These skills are crucial for developing accurate translation models, overcoming linguistic challenges, and working effectively within cross-functional teams.

What are the most commonly searched types of Machine Translation jobs in Georgia? The most popular types of Machine Translation jobs in Georgia are:
What are popular job titles related to Machine Translation jobs in Georgia? For Machine Translation jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Translation jobs in Georgia look for? The top searched job categories for Machine Translation jobs in Georgia are:
Machine Translation jobs near you
Infographic showing various Machine Translation job openings in Georgia as of June 2026, with employment types broken down into 2% Internship, 59% Full Time, 14% Part Time, 4% Temporary, 7% Contract, and 14% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $35,521 per year, or $17.1 per hour.

Senior Machine Learning Engineer

Career Renew

Atlanta, GA • Remote

$165K - $225K/yr

Full-time

Posted 23 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.