Senior Full Stack Engineer, Backend Engineering
Design and implement high-throughput, isolated processing clusters for Enterprise clients ensuring strict tenant isolation and High Availability. Drive improvements across Temporal workflow clusters and production Kubernetes environments with scaling strategies supporting self-serve consumers and Enterprise contracts. Collaborate with the AI/ML team to transform experimental models into scalable, production-ready services, owning infrastructure that connects model outputs to user-facing features with minimal latency. Build and operate high-dimensional vector database infrastructure for semantic search enabling users to find exact moments in video using natural language. Architect backend systems for bulk workflow orchestration, resource isolation, and multi-tenancy to support large media houses managing massive video archives.
Senior Software Engineer, Backend (Canada)
As a Senior Software Engineer, Backend at Centari, you will be a key player in designing and building Centari's core AI technology. You will work alongside engineers who share a bias for action, writing code, shaping the product, interacting with customers, and driving initiatives from concept to completion. You will be involved in developing systems built with Go and React/TypeScript, leveraging cutting-edge LLM technologies across infrastructure, search, and persistence layers.
RISC-V AI / HPC & Agentic Software Engineering Lead
The role involves defining scalable, top-down system architectures that unify CPU and AI technologies for next-generation automotive applications. It requires shaping the architectural direction of the automotive and robotics portfolio to ensure products meet high standards for performance, safety, reliability, and security. The position includes leading technical efforts with systems thinking and cross-functional collaboration, articulating technical direction across engineering teams and external partners, and identifying future use cases to propose next-generation architectural solutions. The responsibilities include architecting complex SoCs from concept to execution and contributing to world-class automotive solutions in a highly technical, fast-moving environment.
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.
Full Stack Product Engineer
As a Full-Stack Product Engineer at Ideogram, you will build products that integrate generative AI directly for creators, working across the entire technology stack to create delightful user experiences and optimize backend systems that serve millions. Responsibilities include shipping features that users love, combining product intuition with strong ownership, user empathy, and the ability to move quickly within an evolving AI landscape. You will design APIs and data models to support changing product needs, use AI-native engineering tools to accelerate development and debugging, and take initiative to identify and complete opportunities. The role involves working with minimal direction in a fast-paced environment, taking responsibility for outcomes, collaborating, communicating technical concepts to diverse stakeholders, seeking feedback, pushing for quality in code review, and mentoring others.
Freelance Automotive Engineering & Python Expert - AI Trainer
Contributors may design graduate- and industry-level automotive 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.
Research Engineer
Research Engineers at Cohere Labs are responsible for building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems. They work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports research programs. The role involves writing clean, reliable code and building systems that others can use and extend, experimenting, running ablations, analyzing results, and iterating quickly. They collaborate closely with researchers to translate ideas into practical implementations and contribute to defining how ideas become reality within the AI research 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.
Mechanical Engineer with Python Experience - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice. They evaluate AI-generated solutions for correctness, assumptions, and engineering logic. They validate analytical or numerical results using Python libraries such as NumPy, SciPy, and Pandas. Contributors work to improve AI reasoning to align with first principles and accepted engineering standards and apply structured scoring criteria to assess multi-step problem solving.
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.
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