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Neuroscience Ai Machine Learning Jobs in Decatur, GA

Dolby Laboratories, Inc.

AI Architect

Atlanta, GA

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

Dolby

AI Architect

Atlanta, GA · On-site

Role Overview We are seeking a Senior Staff AI / Machine Learning Architect to serve as a key technical bridge between research teams and product engineering organizations. In this role, you will ...

Socket.dev

Machine Learning Engineer I

Atlanta, GA · On-site

$99.40 - $184.60/hr

Our ML/AI team works at the intersection of journalism, technology, and user experience, building ... CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

Use AI tools such as Claude Code to speed up coding, feature work, and testing * Build ML ... Machine Learning focused work * Skilled in analytical thinking, consulting, requirements work ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

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Neuroscience Ai Machine Learning information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do neuroscience ai machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for neuroscience ai machine learning in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in Neuroscience AI and Machine Learning, and how can they be addressed?

Professionals in Neuroscience AI and Machine Learning often encounter challenges such as integrating complex neural data with AI models, handling large and noisy datasets, and ensuring their algorithms are interpretable and clinically relevant. Collaborating closely with neuroscientists, clinicians, and data engineers is essential to address these hurdles. Staying updated on the latest research, leveraging robust data preprocessing techniques, and participating in interdisciplinary team meetings can help overcome these challenges and contribute to innovative solutions in the field.

What is the difference between Neuroscience Ai Machine Learning vs Data Scientist?

AspectNeuroscience Ai Machine LearningData Scientist
Required CredentialsBackground in neuroscience, AI, machine learning, programming skillsDegree in data science, statistics, computer science, or related fields
Work EnvironmentResearch labs, healthcare, biotech, academiaTech companies, finance, marketing, healthcare
Industry UsageNeuroscience research, AI development for brain-related applicationsData analysis, predictive modeling, business insights across industries

Neuroscience Ai Machine Learning focuses on applying AI and machine learning techniques specifically to neuroscience research and brain-related applications, often requiring specialized knowledge in neuroscience. Data Scientists have a broader scope, working with data analysis and modeling across various industries. While both roles involve machine learning skills, their focus areas and work environments differ significantly.

What are the key skills and qualifications needed to thrive as a Neuroscience AI Machine Learning specialist?

To thrive as a Neuroscience AI Machine Learning Specialist, you need a strong background in neuroscience, machine learning, and data analysis, often supported by an advanced degree in a related field (e.g., neuroscience, computer science, or bioinformatics). Expertise in programming languages like Python or MATLAB, familiarity with deep learning frameworks (such as TensorFlow or PyTorch), and experience with neuroimaging tools are typically required. Strong problem-solving abilities, curiosity, and effective interdisciplinary communication are valuable soft skills. These competencies are essential for innovatively analyzing complex neural data and developing AI-driven solutions that advance neuroscience research.

What is a Neuroscience AI Machine Learning specialist?

A Neuroscience AI Machine Learning specialist is a professional who applies artificial intelligence and machine learning techniques to analyze and interpret data related to the brain and nervous system. They work at the intersection of neuroscience, computer science, and data science to develop models that can help understand brain function, diagnose neurological disorders, or advance brain-computer interface technologies. Their work often involves processing complex datasets such as brain imaging or neural recordings, and building predictive models that contribute to both scientific discovery and healthcare innovation.
What are popular job titles related to Neuroscience Ai Machine Learning jobs in Decatur, GA? For Neuroscience Ai Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Neuroscience Ai Machine Learning jobs in Decatur, GA look for? The top searched job categories for Neuroscience Ai Machine Learning jobs in Decatur, GA are:
Neuroscience Ai Machine Learning jobs near you

Machine Learning Lead Engineer

Cox Communications, Inc.

Atlanta, GA • On-site

$134K - $224K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Cox Communications rating

8.3

Company rating: 8.3 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

18th of 97 rated telecommunications companies

Job description

Company
Cox Automotive - USA
Job Family Group
Data Intelligence & Science
Job Profile
Machine Learning Lead Engineer
Management Level
Manager - Non People Leader
Flexible Work Option
Hybrid - Ability to work remotely part of the week
Travel %
Yes, 15% of the time
Work Shift
Day
Compensation
Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Job Description
Cox Automotive is hiring a Machine Learning Engineer Lead for the AI Accelerator team. The role spans three areas. The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision, optimization, or causal machine learning. The Lead also sets the model selection strategy for the team and owns AI governance policy, including bias checks, compliance tracking, and audit trails. The Lead builds evaluation systems that measure whether AI agents and models perform as expected, using the GenAI Eval Framework.
WHAT YOU'LL DO:
Key Responsibilities
  • Design, build, and maintain ML models, algorithms, and pipelines for training, inference, and production
  • Use AI tools such as Claude Code to speed up coding, feature work, and testing
  • Build ML infrastructure, monitoring, and documentation with engineering partners
  • Turn model results into business value, and share progress with stakeholders across teams
  • Coach teams on AI adoption, and lead AI transformation work, from tool testing to rollout
  • Track new advances in ML and AI, and publish or present findings through papers and talks
  • Design agent based workflows for training, data pipelines, and analysis, matched to team skill level
Model Selection & AI Governance Strategy
  • Own the Model Optimization pillar of the agentic AI framework, and set the model selection strategy for the team
  • Pick between Claude Haiku, Sonnet, and Opus based on task complexity, cost, and speed needs
  • Build clear rules for when to use each model, and document the reasoning for each choice
  • Track model cost across projects, and report spend to leadership
  • Own AI governance policy, including bias checks, compliance tracking, and audit trails
  • Work with legal and compliance teams to meet AI regulations
  • Report on AI risk and model use across the AI Accelerator portfolio
Evaluation Systems (Agentic AI Framework)
  • Build and run evaluation systems for AI agents using the GenAI Eval Framework (GEF)
  • Check answer correctness, task completion, tool selection, and context quality, not just the final output
  • Calibrate LLM as judge scores against human baselines through agreement analysis
  • Curate golden datasets with human labels and short critiques for each agent type
  • Compare evaluation runs before and after a prompt or model change, and flag quality shifts
  • Build synthetic conversations to test agents before they reach production
  • Watch for drift, and trace the root cause when agent quality moves away from baseline
  • Set standards for how teams test and approve new models before rollout, and own the hardest evaluation problems as the field matures

WHO YOU ARE:
Required Skills
  • Skilled in AI development tools (Claude, GPT- for ML work, with the skill to check AI output before production use
  • Understanding of agent frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns), from basic setup to custom enterprise design
  • Knowledge of AI ethics, responsible AI practice, and governance rules for business critical ML work
  • A steady habit of learning in AI augmented data science and responsible AI use
  • Skill in comparing AI models on cost, speed, and output quality, and matching each model to the task
  • Hands-on experience sourcing, deploying, and running open-source models in local or cloud environments
  • Ability to set up model serving infrastructure and get open-weight models running end to end (weights, dependencies, inference)
  • Skill in benchmarking open-source models against hosted/proprietary options on quality, cost, and latency to inform build-vs-buy decisions
  • Comfort fine-tuning, quantizing, or otherwise adapting open-source models to task and hardware constraints
Required Qualifications
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Bachelor's degree in a related field and 6 years of experience, or a master's degree and 4 years, or a Ph.D. and 1 year, or 14 years of experience with no degree
  • 6+ years' experience working in Machine Learning focused work
  • Skilled in analytical thinking, consulting, requirements work, system and technology integration, and comfort with new technology
  • Skilled in working with intent, clear communication, building trust, driving new ideas, and pushing for high quality work
  • Other duties as needed
  • A track record of leading new projects from idea to proof of concept
  • Deep skill in more than one ML area and knowledge of new research
  • Strong background in testing technology, studying competitors, and planning strategy
  • Proof of sharing knowledge through papers, talks, or similar work
  • Experience building and leading strong research or innovation teams
  • Strong communication skills for both technical and executive audiences
  • A strong network in the ML research community
  • Experience with research partnerships and joint work
  • Must live within a commutable distance to Atlanta
Preferred Qualifications
  • Experience in corporate research labs, innovation teams, or technology consulting
  • A record of finding and rolling out breakthrough technology
  • Background moving research into business use
  • A strong name in the ML community through talks or open source work
  • Knowledge of new areas such as LLMs, agents, foundation models, multimodal AI, or quantum ML
Leadership Expectations
  • Build a culture of testing, learning, and smart risk taking
  • Build agreement on research priorities while keeping speed high
  • Grow talent through mentoring in both technical skill and research method
  • Share complex results and their meaning with people at every level
  • Lead by example through curiosity, careful method, and open sharing
  • Connect new research to real business use
  • Build the team into a known center for ML experiments

Drug Testing
To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited.
Benefits
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
About Us
Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.
EOE, including disability/vets

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About Cox Communications

Sourced by ZipRecruiter

Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark?

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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