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Mobile Machine Learning Jobs in Georgia (NOW HIRING)

Dolby

Senior Database Researcher

Atlanta, GA · On-site

... mobile computing, computer networking, and IoT. What You Will Accomplish Sight and Sound play a ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

Monitise

Senior Data Scientist

Alpharetta, GA

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Develop machine learning models, scoring approaches, and analytical methods that support MOA, Offer ...

Dolby

Senior Database Researcher

Atlanta, GA · On-site

$143.50 - $168.20/hr

... mobile computing, computer networking, and IoT. What You Will Accomplish Sight and Sound play a ... Develop tools and frameworks to enable scalable development of machine learning models and data ...

Fiserv, Inc.

Senior Data Scientist

Alpharetta, GA · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Develop machine learning models, scoring approaches, and analytical methods that support MOA, Offer ...

3M HEALTHCARE

Senior Software Engineer

Atlanta, GA · On-site

$120 - $180/hr

... machine learning and AI technologies. Our current products include personalized content recommendations, contextual ad targeting, and site search that serve millions of CNN users on web and mobile.

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Monitise

A.I. Transformation Lead

Alpharetta, GA

$141K - $225K/yr

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Lead the design, development, and deployment of AI and machine learning solutions across business ...

Dolby

Multimodal AI Researcher, Audio

Atlanta, GA · On-site

... edge & mobile computing, computer networking, and IoT. Dolby is looking for a talented Senior ... Deep knowledge on current machine learning literature. * Strong publication record, with ...

Monitise

AI Engineer

Alpharetta, GA · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ...

Dolby

Senior Audio AI Researcher

Atlanta, GA · On-site

$88K - $120K/yr

... edge & mobile computing, computer networking, and IoT. What you will do: You will push the ... Good knowledge about current machine learning literature. * Highly skilled in Python and one or ...

Dolby

Sr Researcher, Sight Lab

Atlanta, GA · On-site

... edge & mobile computing, computer networking, and IoT. At Dolby Laboratories, we investigate ... Research state-of-the-art computer vision and machine learning algorithms and prior art in the ...

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Showing results 21-40

All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Georgia

Mobile Machine Learning information

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

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

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Georgia?

The most popular types of Machine Learning jobs in Georgia are:

What are popular job titles related to Mobile Machine Learning jobs in Georgia?

For Mobile Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Georgia look for?

The top searched job categories for Mobile Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Mobile Machine Learning jobs?

Cities in Georgia with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Database Researcher

Dolby

Atlanta, GA • On-site

Full-time

Re-posted 23 days ago

Job description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We're big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.
The Advanced Technology Group (ATG) is the research division of the company. ATG's mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby's continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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.
We're looking for talented database systems and big data management researchers who are excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large. Research in the areas of data platforms, data science and analytics at Dolby Laboratories focuses on all aspects of large-scale cloud and edge data platforms and services, and novel ways to accelerate discovering insight from data.
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
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 need to succeed
Competencies
  • 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: Responds 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 skills
  • Relevant publications in data mining / database conferences (e.g., SIGMOD, VLDB, ICDCS, IEEE BigData, ICDE, KDD, WSDM, ICDM, WEB)
  • Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services
  • Bonus: Experience with AI models and cloud-based software development of AI models

Learn more about our innovative research: https://www.dolby.com/about/innovation/empowering/
The Atlanta Area base salary range for this full-time position is$143,500-$168,200, which can vary if outside this location,plus bonus, benefits, profit sharing and equity compensationOur salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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