Software Engineer, Infrastructure
The Infrastructure Team builds the underlying tooling and infrastructure that powers all Exa's systems, including building GPU cluster orchestration in Kubernetes, map-reduce batchjobs on Ray, and the best observability tooling in the world to enable fast movement as an engineering organization.
Senior ML Operations (MLOps) Engineer
As a Senior ML Operations Engineer at Eight Sleep, you will pioneer cutting-edge ML technologies and integrate them into products and processes for health monitoring. You will own the design and operation of robust ML infrastructure by building scalable data, model, and deployment pipelines to ensure reliable model delivery to production. Your role involves partnering cross-functionally with R&D, firmware, data, and backend teams to ensure ML inference operates reliably and scales across Pods globally. You will optimize ML systems for cost-effectiveness, scalability, and high performance by managing compute, storage, and deployment resources during training and inference. Additionally, you will develop tooling, microservices, and frameworks to streamline data processing, experimentation, and deployment, and maintain clear and direct communication within a remote work environment.
Manual Quality Assurance Engineer, Web Core Product
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Freelance Mechanical Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.
Freelance Electrical Engineer with Python Experience - AI Trainer
Design rigorous electrical engineering problems reflecting professional practice. Evaluate AI solutions for correctness, assumptions, and constraints. Validate calculations or simulations using Python (NumPy, Pandas, SciPy). Improve AI reasoning to align with industry-standard logic. Apply structured scoring criteria to multi-step problems.
Freelance Electrical Engineering & Python Expert - AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Evaluation Scenario Writer - AI Agent Testing Specialist
Contributors create structured test cases simulating complex human workflows, define gold-standard behavior and scoring logic to evaluate agent actions, analyze agent logs, failure modes, and decision paths, work with code repositories and test frameworks to validate scenarios, iterate on prompts, instructions, and test cases to improve clarity and difficulty, and ensure scenarios are production-ready, easy to run, and reusable.
Manager, AI Deployment Engineering (Southeast Asia)
The AI Deployment Engineering Manager in Southeast Asia is responsible for owning the strategy and operating model of the AI Deployment Engineering team in SEA to ensure alignment with company objectives and customer needs. This role involves leading, building, and mentoring a high-performing team of AI Deployment Engineers to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption. The manager acts as the technical advocate for customers, synthesizing their needs to develop Research and Applied Product/Engineering roadmaps. They serve as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level stakeholders. Additionally, the manager serves as an industry thought leader, championing the safe and innovative application of the company’s technology across various sectors. They also ensure the technical success of strategic technology and software customers by managing the entire implementation journey and ensuring seamless platform integration, aligning technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle.
Technical Support Engineer - Singapore
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
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