Source Job

• Analyze complex datasets and find insights from data.
• Create data models and ETL pipelines for robust and scalable Machine Learning systems.
• Work with distributed computing, big data frameworks, Kubernetes, and Docker.

Kinaxis powers the world’s supply chains to help preserve the planet’s resources and enrich the human experience with more than 40,000 users in over 100 countries.

Deploy and monitor machine learning models in production using tools like Docker, Kubernetes, and MLflow to ensure scalability and reliability. Build and maintain data pipelines using Airflow, Spark, or Kafka to support model training and inference. Integrate ML models into business applications, collaborating with software engineers to operationalize solutions.

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.

• Lead development stages for AI/ML projects from exploration to maintenance.
• Design and implement scalable ML pipelines for large datasets with data scientists and network security experts.
• Conduct experiments and analyze results using metrics and visualization techniques.

Corelight is a cybersecurity company that transforms network and cloud activity into evidence for elite defenders. Fueled by accelerating revenue and investments from top-tier venture capital organizations, they are rapidly expanding their team with a geographically dispersed yet connected employee base.

• Design scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

As a Senior MLE, debug complex AI implementations and optimize inference performance. Work directly with product teams building solutions and develop blueprints for proven patterns. Operate in a high-velocity environment where priorities shift rapidly based on team needs.

Join the team redefining how the world experiences design.

• Partner with the Senior Product Manager to translate AI product strategy into a clear technical roadmap.
• Design, implement, and maintain backend services and APIs that power AI-enabled features for customers and internal users.
• Mentor and level up engineers in AI/ML best practices, distributed systems design, and platform thinking.

Binance.US is America’s home to buy, trade, and earn digital assets and is a licensed and regulated U.S. crypto platform.

Design and validate rule-based and machine learning models for transaction monitoring. Build and optimize scalable data pipelines integrating blockchain analytics. Lead the development and execution of comprehensive metrics and data reporting frameworks.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps).

• Evolve and support real-time machine learning/AI pipelines to build low-latency, high-throughput systems.
• Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.
• Guarantee high levels of service availability through being a part of an on-call rotation, following best practices for disaster recovery and business continuity.

Sony Interactive Entertainment (SIE) PlayStation creates unforgettable gaming experiences and is dedicated to building a world-class team.

• 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.

• 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 and implement scalable AI platform services for LLMs and other AI models.
• Apply LLMs and AI technologies to build and enhance intelligent product features.
• Develop robust APIs and backend systems for seamless integration of AI-powered features.

ClickUp is creating the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

• 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.

• Lead the full ML model lifecycle from feature engineering to ongoing improvement.
• Architect and implement scalable ranking and personalization models using ML frameworks.
• Collaborate with Product and Data Engineering to translate business needs into user impact.

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

• 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 maintain scalable Python applications.
• Design and implement chatbot applications using generative AI technologies.
• Act as a trusted advisor within the team, guiding best practices, raising risks early, and ensuring solutions meet both technical and business needs.

Provectus is an AI consultancy and solutions provider. They help companies across industries embrace AI and solve their most complex challenges.

• Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices

Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines.
• Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.

Frontier Technology Inc. (FTI) delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering.

Design, build, and own AWS-based MLOps infrastructure, defining standards for security, automation, cost-efficiency, and governance. Architect and operate production Kubernetes clusters, including containerizing and deploying ML models using Docker and Helm. Build and maintain CI/CD pipelines for training, validation, and deployment of ML workloads, implementing canary, blue-green, and rollback strategies.

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.

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 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.