C# Jobs

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their research lab focused on building top-ranked real-time voice models. These models power large consumer-facing AI applications across various sectors. The role involves optimizing real-time inference, developing best-in-class APIs and products, and contributing to the research and development of state-of-the-art models. The ideal candidate is a fast learner who thrives in ambiguity and can demonstrate a strong portfolio of built, broken, and understood systems. This position emphasizes impact, shipping stable code, and a deep understanding of the underlying logic behind engineering decisions.

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their research lab focused on building top-ranked real-time voice models. These models power large consumer-facing AI applications across various sectors, reaching hundreds of millions of end-users. The role involves optimizing real-time inference, developing state-of-the-art models, and creating best-in-class APIs and products. The ideal candidate thrives in ambiguity, learns quickly, and can demonstrate a strong track record of building, breaking, and understanding complex systems. This position emphasizes impact, shipping stable and reliable systems, and a deep understanding of the underlying logic behind engineering decisions.

£140k - £200k

Inworld is a research lab building top-ranked real-time voice models used in large consumer-facing AI applications. We are seeking a Senior/Lead Machine Learning Engineer to optimize real-time inference and create best-in-class APIs and products. This role involves tackling complex, ambiguous problems and driving impact through shipped, stable systems. We value engineers who are comfortable with ambiguity, have a bias for action, and obsess over performance, latency, and reliability as core product features.

Inworld is seeking a Senior / Lead Machine Learning Engineer to join our team in Germany. We are a research lab building top-ranked real-time voice models used in large-scale AI applications across various sectors. Our work involves research, development, optimizing real-time inference, and creating best-in-class APIs and products. We are looking for fast learners with a strong ability to build, break, and understand systems, who thrive in ambiguity and can demonstrate their past work. This role emphasizes full-cycle ownership, taking models from research to production-ready serving.

Inworld is seeking a Staff/Principal Machine Learning Engineer to join their team in Mountain View, USA. This role focuses on optimizing real-time inference for state-of-the-art AI models, which power large consumer-facing applications. The ideal candidate will have a strong background in systems programming and a proven ability to take models from research to production, ensuring reliability and performance. The company values engineers who can navigate ambiguity, drive impact, and deeply understand the underlying logic of their work, fostering a collaborative and fast-paced environment.

$270k - $500k

OpenAI

OpenAI is seeking a Software Engineer to join the Scaling team, which builds the architectural and engineering backbone for the company's infrastructure. This role focuses on enabling production workloads and end-to-end testing on new platforms. You will be responsible for creating test harnesses, developing platform stress benchmarks, and porting existing AI model training and inference workloads to new systems and hardware. A key aspect of this position involves analyzing performance, identifying bottlenecks, and characterizing the behavior of new compute, communication, storage, and control plane systems, including their failure modes.

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and system-level solutions tailored for advanced AI workloads. As an Engineer on our hardware optimization and co-design team, you will collaborate with vendors to co-design future hardware for programmability and performance. You will work closely with kernel, compiler, and machine learning engineers to understand their needs regarding ML techniques, algorithms, and programming expressivity. Your role will involve evangelizing these constraints to vendors to influence future hardware architectures for efficient AI model training and inference, and optimizing large language models across devices, networking bottlenecks, and compute pipelines.

Applied Intuition is seeking a highly focused Cloud Security Engineer to play a crucial role in securing our infrastructure across diverse multi-cloud environments (AWS, Azure, GCP, OCI), with a heavy emphasis on Kubernetes cluster hardening. You will establish robust guardrails, enforce Identity and Access Management policies, and maintain our Cloud Security Posture Management (CSPM) to prevent insecure deployments and ensure continuous compliance. This role involves working alongside our Corporate Security & Infrastructure team to secure our cloud footprint.

$60k - $300k

Applied Intuition is seeking a Motion Planning Engineer for their Fallback Stack team. This role focuses on designing and implementing deterministic, safety-critical planning systems to ensure autonomous vehicles operate safely during degraded autonomy or uncertainty. The position emphasizes classical motion planning, predictable behavior, and large-scale evaluation, rather than deep learning-driven planning. You will contribute to a dynamic, customer-focused team culture and help shape best practices in the autonomy industry, making a significant impact on the development of autonomous systems.

$60k - $300k

Hebbia is seeking a Site Reliability Engineer who approaches the role with a software engineering mindset. You will be responsible for the entire lifecycle of critical production systems, focusing on design, development, and enhancement rather than just operation. This involves writing production-quality code to ensure platform reliability at scale, collaborating with product engineering teams to integrate reliability into architectural decisions from the outset, and building essential internal tooling for all engineers. The role emphasizes coding, including instrumenting services, optimizing performance, developing deployment platforms, and translating incident learnings into permanent architectural improvements.

$160k - $350k

Baseten is building the global operating system for distributed, heterogeneous AI hardware, powering mission-critical inference for leading AI companies. As LLM and multi-modal workloads scale, the network becomes a critical component. This role focuses on leading GPU Networking efforts, making RDMA a first-class building block and optimizing distributed inference. You will architect the software fabric that unifies thousands of GPUs, co-optimizing communication and computation for advanced AI workloads.

Modal is building the next-generation infrastructure layer for AI, enabling instant GPU access, sub-second container starts, and native storage for customers like Lovable, Ramp, Cognition, DoorDash, and Suno. We are seeking an Engineering Manager to lead a team of experienced engineers focused on our serverless GPU platform. This is a hands-on leadership role where you will balance technical contributions with people management, setting direction, removing obstacles, and cultivating a strong engineering culture while addressing complex challenges in distributed computing, large-scale data handling, and performance optimization.

Mistral AI

Mistral AI is seeking passionate and skilled backend software engineers to join our new team in NYC. As a Backend Engineer, you will contribute to the development of core systems powering our AI platform, including AI Studio, Le Chat, and Mistral Code. Your work will shape how millions of users and developers interact with our AI platform at scale, focusing on building reliable, high-performance backend systems and APIs. This role directly impacts the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff levels who are eager to learn, collaborate, and ship impactful products.

Cohere

Cohere is seeking a Site Reliability Engineer to join the Model Serving team. This role is crucial for developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and create customized deployments to meet their specific needs, contributing to the widespread adoption of AI.

Cohere

Cohere is seeking Members of Technical Staff to join the Model Serving team. This role focuses on developing, deploying, and operating the AI platform that delivers Cohere's large language models via API endpoints. You will work closely with various teams to deploy optimized NLP models into production environments, ensuring low latency, high throughput, and high availability. The position also offers the opportunity to interact with customers and build customized deployments to meet their specific needs.

Baseten is seeking Software Engineers to join their team in a specialized, high-impact role at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. This position involves not only building automated performance monitoring and diagnostic tools for next-generation AI infrastructure but also defining the roadmap, driving key technical decisions, and taking full ownership of the future direction of this work. The role offers the opportunity to shape the platform that engineers use to deploy cutting-edge AI models into production.

Mistral AI

Mistral AI is seeking early-career software engineers, including new graduates or those with up to 1-2 years of experience, to join their software engineering teams. In this role, you will contribute to building and enhancing the core systems that power Mistral's products, such as AI Studio and Applications, as well as supporting operations like SRE, data, and security. You will play a key part in shaping how users and developers interact with the AI platform at scale, working closely with experienced engineers who will mentor and support your growth. This is an opportunity for enthusiastic graduates to learn, collaborate, and deliver impactful products in a fast-paced environment.

Cohere

Cohere is seeking an Audio Inference Engineer focused on Model Efficiency to join a fast-growing team of researchers and engineers. The mission of this team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You will collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.

Cohere

Cohere is seeking a Member of Technical Staff focused on Model Efficiency to join a fast-growing team of researchers and engineers. This role is instrumental in pushing the boundaries of LLM inference efficiency, developing techniques to improve model execution in production for lower latency and higher throughput. You will work across the inference stack, identifying bottlenecks and developing optimizations, collaborating with modeling and systems teams to ship meaningful improvements. Opportunities exist to build expertise in advanced performance techniques like GPU/CUDA optimizations and model execution strategies for large-scale architectures.

Rogo is transforming global finance with AI, empowering professionals at top investment firms with unparalleled speed, accuracy, and insight. We are redefining financial workflows and are a rapidly growing, global company with proven product-market fit and strong investor backing. We are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to our mission, taking ownership of complex problems and focusing on our users. If you thrive in a fast-paced environment and want to help build the future of finance, join us.