Карьера в Viviar

We are looking for a Senior Machine Learning Engineer to design, build, and deploy large-scale ML systems that power our core AI products. You will collaborate with research scientists to bring models from prototype to production, optimize inference pipelines, and mentor junior engineers.

We are hiring a Research Scientist specializing in NLP to advance the capabilities of our language models. You will drive original research, publish findings, and work closely with engineering teams to integrate breakthroughs into our products.

Our ML Infrastructure team builds the backbone that enables researchers and engineers to train, evaluate, and ship models at scale. You will design systems that handle thousands of GPU-hours per day and ensure reliability for mission-critical training jobs.

We are looking for an AI Product Manager who can bridge the gap between cutting-edge research and products that delight users. You will own the roadmap for one or more AI-powered features, work closely with research scientists and engineers, and drive product strategy grounded in user insights and business goals.

We are building a team of Prompt Engineers who specialize in designing, testing, and optimizing interactions with large language models. You will work at the intersection of linguistics, UX, and AI to craft prompts and interaction patterns that make our models safer, more capable, and more useful.

Our Data Engineering team is responsible for building the data infrastructure that feeds our model training pipelines. You will design scalable ETL systems, manage large-scale datasets, and ensure data quality and lineage across the organization.

We are expanding our multimodal AI capabilities and are looking for a Computer Vision Engineer to work on image and video understanding systems. You will develop and optimize vision models that integrate with our language models to enable richer, more capable AI products.

We are looking for an RL Engineer with experience applying reinforcement learning to real-world AI systems. You will work on training language models with human feedback, building reward models, and designing RL algorithms that improve model alignment and capability.

Our Safety team works to ensure that AI systems we develop are safe, reliable, and aligned with human values. You will conduct research on model interpretability, robustness, and alignment, contributing to both internal safety processes and the broader field.

We are looking for an MLOps Engineer to build and maintain the systems that take models from research to production. You will own the model deployment lifecycle, from continuous integration and testing to monitoring and rollback infrastructure.

We are building a highly reliable, scalable API platform that exposes our AI models to millions of users and developers. You will design and implement the backend services that handle authentication, rate limiting, billing, and model routing at scale.

We are looking for a Full-Stack Engineer to build the interfaces and products that put AI capabilities in the hands of users. You will work across the stack — from designing React frontends to building the backend services that power them.

Model evaluation is one of the most critical and underexplored areas of AI development. As an AI Evaluation Engineer, you will build the systems and benchmarks that measure our models' capabilities, safety, and quality — enabling faster research iteration and more confident deployments.

We are looking for a Data Scientist to generate deep insights from user behavior data to inform product and research decisions. You will build dashboards, run experiments, and develop models that help us understand how people interact with our AI systems.

The Pretraining team is responsible for training the foundation models that underpin all of our products. As a Research Engineer on this team, you will work at the intersection of research and engineering to design training runs, improve data pipelines, and push the frontier of what's possible at scale.

AI systems introduce novel security challenges — from adversarial inputs to model extraction attacks. As a Security Engineer focused on AI systems, you will secure our infrastructure and models against both traditional and AI-specific threat vectors.

We are building multimodal AI capabilities that include voice and audio understanding. You will develop models for automatic speech recognition (ASR), text-to-speech (TTS), and audio classification, integrating them into our AI product suite.

We are building AI-powered personalization systems that help users get the most out of our products. As an Applied Scientist on the Recommendation team, you will develop models that understand user preferences and deliver highly relevant content and suggestions.

We are looking for a Technical Program Manager to drive coordination across our AI Research and Engineering teams. You will own cross-functional programs, remove blockers, and ensure that ambitious research and product goals are delivered on time.

We believe that responsible AI development requires deep engagement with ethics, law, and policy. As an AI Ethics & Policy Researcher, you will analyze the societal implications of our systems, engage with regulators and civil society, and help shape internal governance frameworks.

We want every developer who builds on our platform to be successful. As a Developer Relations Engineer, you will be the bridge between our product and the external developer community — creating tutorials, answering questions, gathering feedback, and influencing our API design.

The Multimodal Research team is building AI systems that understand and generate across text, images, audio, and video. You will conduct original research on multimodal architectures, contribute to model development, and publish work that advances the field.

We are building an Internal Developer Platform (IDP) that enables hundreds of engineers and researchers to be more productive. You will design self-service tools, automate toil, and create the abstractions that make complex infrastructure feel simple.

Great documentation is as important as great AI. We are looking for a Technical Writer who can translate complex AI concepts and API behaviors into clear, accessible documentation that empowers developers and researchers to build effectively with our technology.

We are looking for a researcher who sits at the intersection of systems and ML. You will co-develop new hardware-software co-design ideas, research novel training algorithms that improve efficiency, and collaborate with infrastructure teams to push the boundaries of what's computationally feasible.

Human feedback is the fuel that powers our alignment work. As the Annotation & RLHF Data Lead, you will design annotation guidelines, manage relationships with annotation vendors, ensure data quality, and build the feedback datasets that improve our models' helpfulness, honesty, and safety.

Our AI platform serves millions of requests per day across a globally distributed infrastructure. We need a Distributed Systems Engineer who can design fault-tolerant, highly available systems that handle the unique demands of AI inference at scale.

Making powerful AI accessible requires making it efficient. As a Quantization & Model Efficiency Engineer, you will develop techniques to reduce model size and inference cost without sacrificing quality — including quantization, distillation, pruning, and speculative decoding.

We are expanding our enterprise business and need Solutions Architects who can guide large organizations in deploying our AI capabilities. You will serve as the technical face of the company to enterprise customers, designing solutions and ensuring successful adoption.

We offer research internships for exceptional students working on AI alignment-related problems. Interns are treated as full research members — you will work with a senior researcher mentor, run your own experiments, and are expected to produce publishable work by the end of the internship.

We are looking for an exceptional research leader to head our AI Research organization. You will define the long-term research agenda, attract and retain world-class research talent, and ensure that our research investments translate into breakthrough AI capabilities and products. This is a rare opportunity to shape the direction of a frontier AI lab.