Inworld AI jobs

Founding Growth Lead role at Inworld AI, a well-funded AI voice models company. The position owns developer ecosystem growth, marketing channels, product launches, content strategy, and growth infrastructure from the ground up. Requires founder/seasoned growth leader background with experience scaling early-stage companies. Located in Mountain View, California, which is not an acceptable onsite location for Zachary (he prefers remote or major hubs like San Francisco proper, not Silicon Valley suburbs).

Inworld, an AI research lab backed by $125M+ from top-tier VCs (Lightspeed, Kleiner Perkins, Microsoft, Founders Fund), is hiring a founding Solutions Engineer to build out their GTM technical function. You'll sit between sales, product, and engineering—running POCs, building prototypes, and shepherding enterprise and developer customers from evaluation through production deployment across gaming, CCaaS, media, and consumer AI verticals. Key responsibilities include leading technical discovery with customers, building working integrations that demonstrate Inworld's realtime multimodal APIs, serving as primary technical advisor post-signature, and creating reusable technical collateral for the GTM team. Required: 5+ years in a customer-facing technical role (SE, SA, TAM), strong hands-on coding ability (Python preferred), deep familiarity with AI/ML APIs and LLMs, and the ability to run POCs end-to-end while bridging technical and business conversations. Bonus skills include voice AI/TTS/STT experience, gaming or media background, real-time infrastructure knowledge, and prior startup experience. This is a founding hire with significant influence on building the SE function from scratch; base salary $170K–$230K+ bonus and equity, requires South Bay office presence a few days weekly (relocation expected if not local).

Staff/Principal Machine Learning Engineer, Serving at Inworld AI, an AI research lab building realtime multimodal models and orchestration platform. Focus on inference optimization, model acceleration, and high-performance systems running thousands of queries per second on NVIDIA GPUs. Responsibilities include optimizing serving frameworks (vLLM, TRT-LLM), handling distributed systems at scale, and full-cycle ownership from research to production. Requires expertise in C++/CUDA/Rust, quantization, speculative decoding, Kubernetes, and Ray. Remote-capable from Switzerland. Compensation not specified.

Staff/Principal Machine Learning Engineer, Serving role at Inworld AI, a multimodal AI inference company. Focus on optimizing model serving, inference performance, and distributed systems (vLLM, CUDA, C++/Rust). Requires deep expertise in GPU optimization, quantization, speculative decoding, Kubernetes, and high-performance systems. PhD or equivalent in CS/Physics/Math preferred. Based in UK.

Inworld AI seeks a Senior/Lead Machine Learning Engineer for model serving and inference optimization in Serbia. The role emphasizes inference optimization (vLLM, TRT-LLM), model acceleration techniques (quantization, distillation, caching), high-performance systems programming (C++, CUDA, Rust), distributed systems (Kubernetes, Ray), and full-cycle ownership from research to production. Requires proficiency in modern serving frameworks, GPU optimization, and ability to handle thousands of concurrent connections. Requires professional English fluency and Serbia location.

Inworld AI seeks a Senior/Lead Machine Learning Engineer, Serving based in Germany to own inference optimization, model acceleration, and distributed systems at scale. Role requires fluency in English for collaboration with US-based leadership. Similar technical scope to the USA Staff role: vLLM, CUDA, Kubernetes, Ray, production ML systems.

Inworld AI seeks a Staff/Principal Machine Learning Engineer, Serving to optimize real-time multimodal inference at scale. Role emphasizes inference optimization (vLLM, TRT-LLM), model acceleration, high-performance systems (C++, CUDA, Rust), and distributed systems (Kubernetes, Ray). Fully remote, USA-based; high-growth AI startup ($125M+ funded) with deep technical challenges in production ML systems.

Inworld AI seeks a Staff/Principal Research Scientist in the UK to advance foundation models, evaluation systems, and agent research with impact-first orientation. The role values researchers who frame problems, design experiments, treat evaluation as a first-class product, and ship research outcomes. Experience sought includes foundation models, multimodal systems, agents, tool use, published research, and full-stack ownership from problem framing to shipping. Requires UK location.

Senior / Lead Research Scientist at Inworld AI, based in Serbia. Focus on frontier AI research—foundation models, multimodal systems, agents, LLM architecture, and evaluation frameworks. Requires PhD in ML/NLP or equivalent, published research at top conferences, and full-stack research ownership from problem framing to shipping. Serbia location; primarily research vs. production engineering.

Inworld AI is hiring a Senior/Lead Research Scientist to lead work on foundation models, multimodal AI, and agent systems. The role requires PhD-level expertise in ML/NLP or equivalent, with published research and full-stack research ownership. Located in Germany, the position is technically advanced but targets researchers rather than software engineers.

Inworld AI seeks a Staff/Principal Platform Engineer to own cloud infrastructure, CI/CD pipelines, and platform tooling using Terraform, ArgoCD, and Kubernetes. The role emphasizes infrastructure-as-code, cloud deployment across major providers (GCP, Azure, Oracle), monitoring reliability, and facilitating a 'you build it, you run it' culture. Requires 8-10 years of software engineering, 3+ years infrastructure-as-code experience, and proficiency in Golang, Python, or Bash. Salary: $280k–$350k. Requires on-site presence in South Bay office a few days per week.

Inworld AI seeks a Staff/Principal Research Scientist in Switzerland to develop realtime multimodal AI models and orchestration platforms. The role emphasizes foundation models, evaluation, frontier AI topics, and published research (ICML, NeurIPS, etc.). Compensation and equity not disclosed. Location is Switzerland; remote-capable but positioned as Switzerland-based role.

Inworld AI seeks a GTM Lead for North America to manage customer relationships, translate technical requirements, run the sales process end-to-end, and shape GTM strategy. Role requires 5+ years customer-facing experience (AE, SE, GTM), technical aptitude in AI/cloud/infrastructure, and ability to manage high-value accounts. Mountain View, CA position; reports to VP of Revenue.

Staff / Principal Software Engineer - Canada at Inworld AI, fully remote but based in Vancouver, British Columbia, Canada. Backend/platform engineer role building AI platform services including LLM routing, TTS/STT APIs, and infrastructure. Involves shipping fast, realtime systems, and multi-provider cloud complexity, but location is Canada, not US.

Inworld is hiring a Staff/Principal Backend Engineer to join their AI platform team, working on newly launched products including an intelligent LLM router, real-time API services (TTS/STT), and infrastructure projects. You'll own core systems for multi-provider failover, cost/latency-based routing, live A/B experimentation, and real-time observability handling hundreds of queries per second, while collaborating closely with ML teams to ship quickly and tackle challenges like zero-to-one platform building and multi-provider complexity at scale. Required experience includes excellent programming in a statically typed backend language (preferably Go, Python, C++, or Rust), proven track record deploying cloud services to hundreds+ qps, hands-on work with PostgreSQL/MySQL, Redis/Memcached, pubsub/queues, and strong communication skills. Bonus experience includes API gateway/routing layer development, analytics databases (ClickHouse, Timescale), OpenTelemetry, and C++. This is an IC-focused role at Inworld, a well-funded AI startup ($125M+ raised from Lightspeed, Kleiner Perkins, Microsoft, Meta, and others) recognized as one of CB Insights' 100 most promising AI companies. Candidates must be based in or willing to relocate to the SF Bay Area for on-site work a few days per week, with a base salary range of $280k–$350k plus equity.

Inworld AI seeks a Staff/Principal Research Scientist to advance foundation models, multimodal systems, and agent research. The role emphasizes research framing, experimentation design, evaluation methodology, and shipping research impact. Experience sought includes foundation model training, RL/reward modeling, multimodal architectures, evaluation frameworks, and published research at top venues. Requires on-site work in Mountain View with relocation assistance offered.