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Phd Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Warnerbros

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... This role is ideal for engineers with roughly 5-8 years of experience (3+ with a PhD) who operate ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... 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:

Dolby

Staff Machine Learning Engineer

Atlanta, GA · On-site

$187 - $215/hr

... machine learning and AI, big graphs, natural language processing, big data management, and ... Mastersin Computer Science or related field, PHD is a plus * 5+ years of professional experience ...

TonicAI

Staff AI/Machine Learning Engineer

Atlanta, GA · On-site

$200 - $260/hr

What you'll bring * 8+ years (or PhD with 3+ years) building production ML systems, with real depth in some combination of LLMs, agents, RL, NER, or information extraction. * Hands-on experience ...

Intuit

AI Scientist 2

Atlanta, GA

In this role, you will develop and deploy modern machine learning and AI models directly in our ... MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ...

Intuit

AI Scientist 2

Atlanta, GA

In this role, you will develop and deploy modern machine learning and AI models directly in our ... MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

In this role, you will develop and deploy modern machine learning and AI models directly in our ... MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math ...

Workday, Inc.

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...

Workday

Senior/Principal AI Engineer

Atlanta, GA · On-site

$120K - $166K/yr

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...

Novelis

Modeling Scientist

Kennesaw, GA

Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry. * Candidates ...

NOVELIS

Modeling Scientist

Kennesaw, GA · On-site

$90 - $120/hr

Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry. * Candidates ...

Novelis Global R&T

Modeling Scientist

Kennesaw, GA · On-site

Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry. * Candidates ...

Novelis Global R&T

Modeling Scientist

Kennesaw, GA · On-site

Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry. * Candidates ...

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All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Atlanta, GA

Phd Machine Learning information

See Atlanta, GA salary details

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How much do phd machine learning jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for phd machine learning in Atlanta, GA is $21.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $24.52 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $45,648 per year, or $21.9 per hour.

Machine Learning Engineer

Infinite Resource Solutions

Atlanta, GA

Full-time

Re-posted 15 days ago

Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development

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