Source Job

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
• Design ranking algorithms that balance relevance, diversity, and revenue.
• Run statistically rigorous A/B tests to measure true business impact.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale. Design ranking algorithms that balance relevance, diversity, and revenue. Partner with product, engineering, and analytics to launch high-impact personalization features.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

• Optimize ad performance using both mature models and emerging ML technologies.
• Build scalable infrastructure to support real-time ad decisioning across millions of requests per day.
• Collaborate with global teams across product, data, and engineering to launch high-impact ad features.

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

Shape the future of AI-powered search across all OLX verticals. Lead the design and evolution of OLX’s Search AI Platform, developing LLM- and GenAI-based systems that power discovery and relevance. Mentor and inspire data scientists and ML engineers across OLX’s global hubs, sharing best practices and shaping the future of applied ML at scale.

At OLX, we work together to build a more sustainable world through trade.

Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models. Develop frameworks and platform to build, deploy, serve and monitor ML-based services. Contribute to vision and architecture to scale ML solutions at QuintoAndar's business.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, guided by a shared purpose of helping people love the place they live.

• Act as a trusted advisor to customers, building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices and give product demos to stakeholders.
• Partner with product and engineering teams to drive the product roadmap and spearhead new opportunities within existing accounts.

Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Work on impactful AI and machine learning projects and contribute to solutions. Help build and support machine learning models and AI systems that power Experian's products and services. Participate in research and experimentation with new AI techniques and tools and machine learning models focusing on real-world applications.

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

• Design and deploy production-ready ML solutions, leveraging cutting-edge platforms.
• Conduct causal analysis to guide high-stakes business strategy.
• Integrate models into production systems and monitor their performance using advanced observability tools.

CSC Generation is the AI-native holding company re-engineering omni-channel retail by acquiring iconic brands and transforming them with their operating platform.

• Build the core Machine Learning foundations that power Nova’s agentic experiences.
• Design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.
• Develop generalized evaluation frameworks for LLM- and agent-based features.

Iterable is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

• Design, build, and deploy machine learning models for personalization, automation, and insights.
• Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment.
• Integrate ML outputs into user-facing products and backend systems.

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection.

• Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
• Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
• Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.

MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.

Architect the data and machine learning backbone that makes the entire marketplace work. Unify creator identity, content signals, audience behavior, brand requirements, and campaign outcomes into a single intelligence layer. Define standards for data modeling, feature stores, model lifecycle, observability, and how the intelligence system scales across millions of creators.

Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world.

• Design, train, and operate ML systems that power the Tebra platform.
• Own the entire lifecycle from data exploration and model development to deployment.
• Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.

Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being, helping independent practices bring modernized care to patients.

Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Mercor is building the talent engine that helps leading labs and research orgs move AI forward.

As a Principal Decision Scientist, you will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. You will design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights.

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Develop and implement machine learning models to enhance Uber Freight's logistics capabilities.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Contribute to the design and architecture of scalable and robust AI platforms.

Uber Freight is a market-leading enterprise technology company powering intelligent logistics with a suite of end-to-end logistics applications and an expansive carrier network.

• Help define the direction for the team.
• Define and prioritize ML Platform initiatives.
• Enable teams to build features at scale by providing a foundation of reusable software components and infrastructure.

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries.