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.
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.
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.
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.
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.
Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code.
Architect fault-tolerant infrastructure for distributed ML, GPU clusters, NVIDIA runtime, S3 checkpointing, Large dataset management and streaming, health monitoring.
Build systems that simulate and handle real-world network conditions — bandwidth shaping, latency injection, packet loss.
Pluralis Research is pioneering Protocol Learning—a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates.
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.
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.
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.
Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.
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.
Lead the design and deployment of advanced AI inference systems for high-profile clients.
Translate complex business problems into robust, real-time AI architectures.
Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against a role's core requirements.
Building world-class AI infrastructure to support a 100+ person research team.
Designing and scaling multi-cloud systems that support high-performance model training and inference.
Improving monitoring, alerting and system observability for AI workloads.
Canva is redefining how the world experiences design. They have campuses in Sydney and Melbourne, co-working spaces in Brisbane, Perth, Adelaide and Auckland, and trust their employees to choose the balance that empowers them and their team to achieve their goals.
Conduct exploratory data analyses and develop machine learning models to identify risks.
Train and iterate on machine learning models using novel techniques.
Debug models when observability shows performance gaps, and iterate on models.
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