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New Grad Machine Learning Jobs in Atlanta, GA (NOW HIRING)

... machine learning and AI, big graphs, natural language processing, big data management, and ... Develop new applications, novel data collection tools, and instrumentation regimes that enable an ...

Lead Machine Learning Engineer - REMOTE

Atlanta, GA · Remote

$98K - $129K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Freedom to try new impactful ideas. * Ability to deploy your work to teams across 40+ divisions and ...

Expand coverage into new domains, languages, and entity types, and handle the long tail of formats and edge cases that real customer data throws off. * Own model evaluation across the board ...

In this role, you'll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work ...

In this role, you'll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work ...

In this role, you'll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work ...

Experience building and scaling production AI systems, machine learning pipelines, and MLOps platforms in cloud-native environments. . * Demonstrated ability to evaluate new AI technologies and ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Drive innovation by researching new algorithms, tools, and methodologies that can improve the ...

Following the machine learning lifecycle, the data scientist should be able to convert the results ... Drive innovation by researching new algorithms, tools, and methodologies that can improve the ...

Showing results 21-40

New Grad Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do new grad machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for new grad machine learning 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 is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Atlanta, GA?

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

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

The top searched job categories for New Grad Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for New Grad Machine Learning jobs?

Cities near Atlanta, GA with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Full-time

Re-posted 6 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.

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 a talented Staff Data/ML Engineer who is 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, distributed processing systems, and data science at Dolby Laboratories focuses on all aspects of large-scale cloud and data processing platforms and services, and novel ways to accelerate discovering insight from data.  We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.

Specifically, we are looking for an architect who is passionate about combining science with art-translating research into AI-enabled, low latency real-time streaming systems and applications, which enable the next generation of immersive experiences.

You will:

Partner with Dolby researchers, understand the AI based Imaging/Audio algorithms and optimize the algorithm to run in Cloud and end device in a distributed way.

Be a key part of a team which is trying to figure out how to do low latency cloud offloading of complex algorithm. T

Partner to develop a Cloud backend solution, Web App and mobile applications for Android/iOS which connect to the Cloud backend.

Key Responsibilities:

  • Design and implement advanced data platforms, unified data models spanning structured and unstructured data sets, and data-enabling systems like metadata management services to support training and inference of AI/ML models in hybrid-cloud environment.
  • Design and implement cloud-based, distributed software architectures and microservice-based platforms to enable low latency, real-time streaming and complex event processing that deliver Dolby's next gen Audio/Visual experiences in the cloud or on end-user devices.
  • Develop new applications, novel data collection tools, and instrumentation regimes that enable an amazing variety of interactive and immersive data-driven experiences by inferring context of both content and the world around us using AI-based techniques.
  • Consult and implement data governance and management policies to support Dolby's position as trusted custodian in the media, entertainment, and technology ecosystems.
  • Partner with ATG researchers to understand data and advanced cloud system-related opportunities in adjacent research 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, platforms, and enabling systems 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

  • Masters in Computer Science or related field, PHD is a plus
  • 5+ years of professional experience with relevant experience building and designing distributed data systems
  • Knowledge of statistics, data science, AI/machine learning, big data management
  • Strong proficiency in Python and an additional language (e.g., C++, Golang, Rust, etc)
  • Expertise in data structures, distributed algorithms (consensus, coordination, etc), data modeling, and data analytic techniques of heterogenous, stream-based data
  • 4+ years of experience in cloud systems, distributed computing architectures (n-tier, peer-to-peer, microservices), service design and implementation (REST, Thrift/gRPC, etc), container orchestration (Kubernetes) and optimization techniques
  • Experience with real-time messaging and streaming architectures, platforms, and frameworks (PubSub/Kafka, Storm, Kinesis, Dataflow/Beam, Flink, Spark Streaming, etc)
  • Experience with AI/ML models, cloud-optimization, and software development patterns
  • Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etc
  • Familiar with git and project management tools, such as JIRA  
  • Excellent problem-solving and partnership skills
  • Excellent communication and presentation skills
  • Desired: Knowledge of Audio/Video formats, processing, editing, and streaming.
  • Bonus: Experience with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.
  • Bonus: Experience with Databricks / Spark

The Atlanta Area base salary range for this full-time position is $187,200 -$215,200, which can vary if outside this location, plus bonus, benefits, profit sharing and equity. Our 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.