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Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Senior Sales Engineer at Rubrik drives technical solutions for Rubrik’s hybrid cloud data management platform, advising customers and internal teams on architecture, security, and AI operations to meet enterprise needs.
Designs and governs enterprise-scale AI-driven data platforms, integrating generative AI, self-service analytics, and modern cloud architectures to support business transformation.
Lead a team of designers at Rubrik to define the strategic vision for enterprise product experiences, balancing usability with cybersecurity and AI features.
Designs enterprise-grade user experiences for Rubrik’s cyber-resilience and AI products in Tel Aviv, collaborating with product, engineering, and customers to build secure, usable interfaces.
A paid remote study for ML engineers and AI researchers: participants design and build scenario environments for reinforcement learning agents on Terac's platform, configure environmental parameters and reward structures, test agent behaviors, and give usability feedback in an interview. Pays $90/hour.
Senior engineer building Together AI's AI Acceleration Cloud in Amsterdam (hybrid, 2 days/week on-site): backend services and operators that virtualize ML hardware (GB200 GPUs, BlueField DPUs), automate data-center networking/storage, and power self-serve Kubernetes and Slurm clusters. Core stack: Go, Kubernetes, Terraform, Prometheus, AWS/GCP/Azure.
A part-time, project-based role contributing to AI and data science work: designing computer science problems, evaluating AI solutions for correctness, and validating calculations using Python libraries like NumPy, Pandas and SciPy.
Part-time, project-based Python contributor role with an AI and data science solutions platform: design CS problems, evaluate AI outputs for correctness, and validate calculations using Python (NumPy, Pandas, SciPy). Suits CS experts with 2+ years experience and strong written English; pays up to $40/hour.
Together AI is seeking a Senior Software Engineer to build and maintain AI agent systems that automate the operation and diagnosis of their large-scale GPU infrastructure. The role involves developing distributed services, knowledge graphs, and retrieval systems to enable autonomous infrastructure management.
Full-stack developer to lead an AI-powered quality assurance/accreditation SaaS platform for higher education institutions, based in Ajman, UAE. Day to day: build frontend and backend (React/Next.js, Node.js/Python), design databases, APIs and auth, and integrate LLM/RAG features for document analysis, dashboards and report generation.
A customer-facing pre-sales Solutions Architect at Together AI (an AI-native cloud for open-source model inference, fine-tuning, and training) based in London. Day to day, they advise strategic customers, run demos and POCs of the hardware/software stack, and build prototypes and enablement content using Python, JavaScript, Kubernetes, Docker, and LLM/GPU technologies.
Lead the SRE team in Amsterdam to manage production systems and infrastructure using Ansible, Terraform, and Kubernetes, ensuring reliability for an AI infrastructure company.
Senior Software Engineer building and improving Swayable's AI/ML-powered analytics engine that measures public opinion and message/ad impact. Day-to-day work blends scientific Python development, machine learning, and distributed high-performance computing alongside Vue.js/Node, MongoDB, and GraphQL services.
Build and deploy AI models that decode brain signals into control signals for medical devices, using transformers and time-series data to restore autonomy for people with disabilities.
Build and fine-tune small, low-latency language and context models for brain-computer interfaces that restore autonomy to people with disabilities.
Define Echo Neurotechnologies’ brand and visual identity, crafting cohesive designs for medical devices and software, including motion graphics and data visualizations.
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Principal engineer leading AI frameworks, compilers, and runtimes to optimize model performance and reliability at cloud scale, collaborating across teams to improve deployment velocity and hardware efficiency.
Build infrastructure-as-software systems that provision, manage, and self-heal GPU inference clusters at Together AI, using Go/Python/Rust, workflow orchestration (Temporal/Cadence), event-driven architecture (Kafka/NATS), and Kubernetes-style reconciliation loops.
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