Top Remote Machine Learning Jobs in Atlanta, GA

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

The Enterprise Account Executive will manage the complete sales cycle, build relationships with senior leaders, and drive platform adoption within data-intensive organizations.

The Analytics Lead will leverage data analytics to optimize credit strategies, monitor portfolio performance, and collaborate on credit policy with stakeholders across technical and non-technical teams.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

Lead pre-sales engagements for Snowflake by delivering executive and technical presentations, hands-on demos and proofs-of-concept, designing solutions, collaborating with product and engineering, and closing large enterprise deals while advising on data architecture and cloud ML/AI deployments.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

The role involves designing, building, and deploying computer vision models for vehicle damage detection, covering the entire ML lifecycle and collaborating across teams.

Lead strategy and execution to apply AI across operations—identify high-impact opportunities, build and manage an AI-native team, deliver production LLM/ML solutions, ensure adoption and ongoing maintenance, and report measurable outcomes to the COO while partnering with finance, HR, and delivery leaders.

Lead a new team to define and deliver AI-powered operational solutions across finance, staffing, delivery, and sales. Set strategy, scope problems, build scalable LLM-based tools, ensure adoption and maintenance, report measurable outcomes to the COO, and manage a distributed team focused on production-grade AI solutions.

Lead zero-to-one product initiatives to transform knowledge discovery using ML/LLMs. Define vision, roadmap, and success metrics; prioritize trade-offs; partner with Design, Engineering, ML, and Data Science; deliver incremental wins while building an extensible platform and improving prospect and subscriber experiences across devices.

Lead organic community growth across Reddit, Quora, YouTube, and TikTok. Develop playbooks, grow subreddits, scale authentic content and engagement using AI, coordinate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Lead Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Develop community playbooks, grow subreddits, create scalable authentic content and engagement strategies (using AI where helpful), coordinate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citations.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Lead strategic positioning and execution for wildfire risk management solutions. Responsibilities include market strategy, sales enablement, research, demand generation, product evangelism, and cross-functional collaboration to ensure effective product marketing.

Build and operate ML training and serving infrastructure by designing, developing, and launching backend systems. Collaborate across teams to decompose projects, support operations and on-call, create monitoring and metrics, perform code reviews, and contribute to developer velocity and platform reliability.

Serve as a customer-facing technologist partnering with sales to position, demo, and package Forrester AI solutions; translate technical AI capabilities into business value, support deal structuring and negotiations, develop enablement and adoption assets, gather product feedback from the field, and drive client retention through training and value realization.

Design and build machine learning systems for Coinbase, responsibly use generative AI tools and copilots, apply human-in-the-loop practices, and deliver measurable efficiency, cost, and quality improvements while collaborating in a remote-first environment with periodic in-person surges.

The Senior Software Engineer will design and optimize recommendation algorithms, maintain data pipelines, and improve personalized user experiences using machine learning techniques and backend engineering skills.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.