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.

• Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
• Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
• Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).

ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

• Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
• Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
• Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.

Mural is pioneering how generative AI transforms visual collaboration and decision-making.

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.

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.

• Design, develop, and deploy production-grade machine learning solutions.
• Work on complex ML problems and mentor junior engineers.
• Contribute to building ML accelerators and best practices.

Provectus is an Artificial Intelligence (AI) consultancy and solutions provider. They help companies across industries gain a competitive edge, accelerate growth, and create new value by applying AI technologies and data-driven insights.

• Development and deployment of LLM-powered features, including summarization tools.
• Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
• Collaborate with medical and product teams to deliver AI features for practitioners and patients.

Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.

• Build the shared AI execution platform that powers every AI product.
• Shape the unified architecture, guide tough tradeoffs, and elevate engineering standards.
• Ensure the platform is scalable, safe, cost-efficient, and easy to build on.

Zapier builds a platform to help millions of businesses scale with automation and AI, aiming to make automation work for everyone.

• 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.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.

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.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

Build backend and pipeline systems that turn models into real search experiences for 110M+ daily users, owning data flows, ranking and retrieval services, and low-latency model-serving APIs. Integrate models into production through robust interfaces and DAGs, enabling fast iteration and powering discovery across the internet’s largest community platform. Ensure pipelines and systems support high scale, low latency, and operational excellence.

Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.

• 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.

• Deliver on technical initiatives that have significant company-wide impact.
• Set technical direction for the broader ML and Search teams at Reddit, able to identify opportunities and influence strategy for all of Reddit.
• Mentor and grow Staff and Senior Staff engineers and create a strong healthy engineering culture.

Reddit is the place where people come together to have the most authentic and interesting conversations on the internet—Whether you’re into video games, world news, or skincare, there’s a community on Reddit that’s perfect for you. Reddit has over 100,000 active communities and approximately 116 million daily active unique visitors.

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.

• Define and drive multi-year technical strategy for machine learning across Affirm.
• Lead the design, implementation, and scaling of advanced ML systems.
• Provide technical leadership across the ML organization, mentoring senior engineers.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

Help rethink how people navigate the web and transition publishers into a world of hyper-relevance. Design and implement search strategies that combine traditional lexical search with semantic vector search to improve result quality. Measure and improve search metrics and fix ranking logic for a better user experience.

TensorOps is a specialized consultancy dedicated to helping organizations accelerate their adoption of Artificial Intelligence and Machine Learning.

• 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.

• 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.

• Design and deploy complex ML systems to improve ad performance.
• Collaborate with global teams to refine algorithms for ad targeting and relevance.
• Apply cutting-edge ML approaches to enhance ad performance and optimize revenue.

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