Top Remote Machine Learning Jobs in Atlanta, GA

Develop and implement AI solutions, optimize models, preprocess data, integrate AI into workflows, and collaborate with cross-functional teams.

Own full-cycle recruiting for technical roles, partner with hiring managers to define roles, source and close candidates, build scalable systems and pipelines, optimize hiring with data, and support a global, remote people team while acting as a culture ambassador.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

The role involves conducting research and optimizing machine learning systems while collaborating with technical staff to enhance product performance.

As a Research/ML Engineer, you will translate cutting-edge AI research into product solutions, develop safety and reliability systems, and collaborate with technical teams.

Support development of pricing arrangements, financial models, budgets and AFAs for a law firm. Produce pricing analyses, competitive market research, and performance metrics. Collaborate with attorneys, IT, and data teams to implement pricing tools (Elite 3E, Iridium), leverage AI/analytics for forecasting, and train stakeholders on pricing technology.

Co-found and lead a stealth startup building an agentic AI platform embedded in CAD tools to automate geometry updates, feature-tree edits, and cross-tool workflows. Drive product, engineering, and commercial strategy, hire the founding team, and develop a defensible data capture and automation stack for industrial CAD workflows.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Research Advisor will provide high-level consultancy for generative AI systems, engage in research collaborations, and represent the Human Frontier Collective in key executive meetings.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

Full-cycle quota-carrying Account Executive selling Bold Metrics' SaaS fit and sizing solutions to apparel brands. Own outreach through contracting, build ROI cases, manage cross-functional coordination, develop outbound strategies, leverage AI to scale workflows, track funnel metrics, and feed customer insights to Product.

Sell Conga enterprise SaaS to new-logo accounts by prospecting, qualifying, and closing complex, high-value deals. Develop territory and account plans, collaborate with Sales Engineering, BD, Marketing, Customer Success and Partners, and position solutions (CPQ, CLM, doc-gen, e-signature) to drive revenue lifecycle transformation. Focus is 100% new business and quota attainment.

Lead and mentor full-stack engineering teams to design, build, test, deploy, and support scalable client-facing and proprietary software. Drive architecture, technical roadmap, Agile delivery, cloud-native migrations, API integrations, quality metrics, and cross-functional collaboration while balancing hands-on development and people leadership to meet product and business goals.

Pre-sales technical role: demonstrate Kore.ai platform, architect and whiteboard solutions, run use-case workshops, estimate ML effort, collaborate with product and delivery teams, and support sales to close enterprise AI and contact-center deals.

Own a Pod's product roadmap: discover customer problems, define initiatives, write high-level requirements, partner with engineering, integrate AI-driven workflows, ensure adoption, track outcomes, and steward product metrics.

Lead pet insurance pricing and state rating plans; build and integrate ML rating models; design pricing strategy for expansion; support rate filings; partner with Data Science, Underwriting, and Finance; and manage and grow an actuarial analyst team.

Lead AI-enabled talent strategy for GTM: workforce planning, people analytics, leadership development, succession management, organization design, change leadership, and coaching senior leaders. Partner with COEs, HRBPs, and People Operations to deploy data-driven HR programs, build leadership bench strength, forecast labor needs, and align performance and rewards to business outcomes.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Own and scale Root's largest enterprise partnerships (OEMs, financial institutions, dealer groups). Drive account strategy, manage a $100M+ pipeline, identify and close new business, lead executive negotiations and contract execution, coordinate cross-functional launches, monitor partnership health, and influence product and commercial strategy to deliver growth.

Serve as the primary product contact embedded with health system clients to discover workflows, design AI-powered solutions, scope pilots, and lead 0→1 deployments. Translate clinical and administrative workflows into product requirements, drive UAT and go-live, measure business success metrics, and surface field insights into the product roadmap. Travel to client sites for discovery and deployment support and collaborate with ML engineers, FDEs, and solution teams to ensure measurable ROI and expansion.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.