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Phd Machine Learning Startup Jobs in Atlanta, GA

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 ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Minimum Requirements: Requires a PhD in health service research, biostatistics, epidemiology ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

Develops scalable machine learning and reinforcement learning systems that improve healthcare ... Minimum Requirements: Requires a PhD in health service research, biostatistics, epidemiology ...

Coca-Cola

Director, Predictive Modeling

Atlanta, GA · On-site

You willleverageadvanced analytics, machine learning, econometrics, forecasting, and ... Master's degree preferredor PhD in Statistics, Data Science, Economics, Mathematics, Computer ...

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

STR

Lead Signal Processing Researcher

Atlanta, GA · On-site

$173K - $216K/yr

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Intuit

Staff AI Scientist

Atlanta, GA

In this role you will be building and deploying machine learning models using both analytical ... Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

Intuit

Senior Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

Intuit

Senior Staff AI Scientist

Atlanta, GA

In this role you will be building and deploying machine learning models using both analytical ... Qualifications * 6+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

In this role you will be building and deploying machine learning models using both analytical ... Qualifications * 4+ years of industry experience with AI science * BS, MS or PhD in Statistics ...

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Showing results 21-40

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

Phd Machine Learning Startup information

See Atlanta, GA salary details

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$41K

$84.6K

How much do phd machine learning startup jobs pay per year?

As of Aug 20, 2026, the average yearly pay for phd machine learning startup in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What does a PhD machine learning professional do at a startup?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What skills and qualifications are needed to thrive as a PhD machine learning professional in a startup?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.

What are common challenges faced by PhD machine learning professionals in startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

How much does a PhD in machine learning make?

A PhD in machine learning working at a startup or tech company typically earns between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning or AI may command higher salaries, especially in competitive markets.

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, or data scientist in startups and tech companies. It enables expertise in developing algorithms, analyzing large datasets, and deploying AI models using tools like Python, TensorFlow, or PyTorch. These roles often require strong programming skills, knowledge of statistical methods, and the ability to work on innovative AI solutions.

What are popular job titles related to Phd Machine Learning Startup jobs in Atlanta, GA?

For Phd Machine Learning Startup jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Phd Machine Learning Startup jobs in Atlanta, GA look for?

The top searched job categories for Phd Machine Learning Startup jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Phd Machine Learning Startup jobs?

Cities near Atlanta, GA with the most Phd Machine Learning Startup job openings:

Phd Machine Learning Startup jobs near you
Infographic showing various Phd Machine Learning Startup job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Sr. Data Researcher Engineer

PVH (Tommy Hilfiger/Calvin Klein)

Atlanta, GA • On-site

$140 - $190/hr

Other

This job post has expired today. Applications are no longer accepted.

PVH Corp. rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

What You Will Accomplish

Sight and Sound play a large role in our day-to-day experiences. We believe data can play a huge role in making the experiences personalized and resilient. Data is critical to synthesizing experiences that are otherwise unimaginable.

Key Responsibilities
  • Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
  • Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across heterogenous data domains, including tabular, time series, text, audio and video.
  • Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
  • Work with ATG researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.
What You Will Need to Succeed
  • Technical depth: Necessary technical knowledge to create new SW architecture needed for real time just in time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.
  • Explore new technologies: Openness to learn new areas and innovate in the new areas.
  • Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.
  • Work with a sense of Urgency: Respond aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.
  • Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.
Desired Background
  • PhD in Computer Science, or similar fields
  • Background in relational databases, big data systems, and data analytic systems
  • Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
  • Knowledge of statistics and machine learning
  • Proficiency in data structures and algorithms
  • Familiar with git and project management tools, such as JIRA
  • Excellent problem-solving and partnership skills
  • Excellent communication and presentation sk
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