Baseten

Baseten is seeking a Post-Training Research Engineer to build in-house tooling for post-training AI models at scale. This role involves deep technical dives into ML techniques, distributed computing, and systems-level concepts to support customer custom models, which are critical for Baseten's inference platform.

Post-training researcher focused on fine-tuning open-source LLMs for specific customer tasks using RL and reward engineering. Involves building training pipelines, environments, and evals, and working with customer data to improve models that reach millions of users.

Research Scientist focused on post-training methodology and performant inference, with a significant portion dedicated to pure research and the remainder to applied research informing the company's platform and customer needs. The role involves designing and executing experiments, publishing at top venues, and collaborating with engineering teams to translate research into production systems.

Software Engineer focused on optimizing GPU kernels for ML inference, including matrix multiplications, attention mechanisms, and quantization, using CUDA and PTX assembly.

Engineering Manager for Forward Deployed Engineering team focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. This role involves hands-on technical ownership, team leadership, and collaboration with product and infrastructure teams to ensure best-in-class performance, reliability, and cost efficiency of AI applications on Baseten's platform. The role contributes to the core codebase and drives feature roadmap, acting as a player-coach.

Manager for a Solutions Architect team focused on enabling customers to deploy and optimize AI/ML models, particularly LLMs, on Baseten's inference platform. The role involves leadership, technical guidance, customer discovery, and ensuring high performance, reliability, and cost efficiency of AI applications in production.

Software Engineer focused on building and optimizing the inference runtime for Voice AI models, including state-of-the-art open-source models. The role involves developing large-scale, real-time infrastructure for multi-model voice agents, reducing latency, increasing throughput, and improving GPU efficiency. It also includes designing iteration loops for voice model customization and customization.

Software Engineer role focused on optimizing and operating Model APIs for AI inference, involving distributed systems, model serving, and developer experience. The role emphasizes performance improvements, structured outputs, tool/function calling, and multi-modal serving.

Engineering Manager for Model Performance at Baseten, a company providing inference infrastructure for AI companies. The role involves leading a team of engineers to optimize ML model inference and performance, focusing on production-level AI/ML solutions and scaling large models. Requires a strong engineering background, leadership experience, and expertise in ML performance optimization, with hands-on work in areas like TensorRT, PyTorch, and CUDA.

Software Engineer focused on ML performance for LLM inference, optimizing techniques like quantization and speculative decoding, and debugging ML performance issues in libraries like TensorRT and PyTorch.

Solution Architect role focused on AI/LLM inference, partnering with Sales and customers to design and deploy technical solutions. Responsibilities include customer discovery, technical scoping, leading demos, managing deployments, and driving POC execution. Requires an AI/ML background and customer-facing communication skills, with the ability to script and prototype.

This role focuses on partnering with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. It involves owning the customer journey from exploration to deployment, translating business goals into reliable, observable services with clear quality, latency, and cost outcomes. The role blends engineering, product management, technical customer success, and pre-sales solution engineering.

AI Solutions Engineer role focused on partnering with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. This involves owning the customer journey from exploration to production, translating business goals into reliable, observable services with clear quality, latency, and cost outcomes. The role blends engineering, product management, technical customer success, and pre-sales solution engineering.

Solution Architect role at Baseten, a company providing AI inference infrastructure. The role involves partnering with Sales and customers to understand business needs, design technical solutions, run technical discovery, and guide deployments and proofs of value. Responsibilities include customer discovery calls, technical scoping, leading demos, owning benchmarking and repeatable deployments across various AI modalities, advising on infrastructure tradeoffs, and driving POC execution. Requires an AI/ML background, strong customer-facing communication, and technical depth to scope solutions.

Baseten is seeking an AI Enablement Engineer to own and develop AI-powered tooling and agent infrastructure for internal productivity. This role involves evaluating, customizing, and deploying AI coding agents and building custom internal agents for tasks like incident triage and codebase Q&A. The engineer will also track usage, measure impact, and stay updated on AI tooling advancements to enhance the engineering organization's effectiveness across the SDLC.

Software Engineer focused on GPU Networking and Distributed Systems to optimize AI inference infrastructure, specifically for LLMs and multi-modal models. The role involves integrating RDMA, optimizing networking layers for disaggregated KV cache and WideEP, enabling fast startup speeds, and building observability tools for bleeding-edge hardware.

Software Engineer focused on building and shipping training products for AI companies, working across the full stack from API to infrastructure, including fine-tuning models and partnering with research engineers. The role involves developing features like multi-node training and serverless RL, with a focus on developer experience and reliability.

Software Engineer role focused on building and optimizing the performance of AI inference infrastructure, including benchmarking, hardware profiling, and developing automated testing and monitoring tools for LLMs.

Software Engineer on the Training Infrastructure team responsible for architecting and leading development of the ML training platform, focusing on scheduling, storage, networking, reliability, and observability for research engineers and model developers.

Software Engineer focused on building and maintaining the ML inference platform, enabling high-performance deployment, scaling, and monitoring of AI models for production applications.

Software Engineer on the Core Product team at Baseten, building and maintaining the core Baseten product that enables users to deploy and get value from ML models. The role involves working across the stack, including CLI tools, REST APIs, and the web application, with a focus on new feature development, API design, and bug fixing. Example initiatives include chains for multi-component workflows, asynchronous inference, model APIs, and model training for production inference.

The Forward Deployed Engineer partners with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. This role involves owning the customer journey from exploration to production, translating business goals into reliable services with clear quality, latency, and cost outcomes. It blends engineering, product management, technical customer success, and pre-sales solution engineering.

This role focuses on building the analytics foundation for tracking infrastructure usage, capacity, and cloud spend across Baseten's AI inference platform. The lead will create data models to unify cloud billing, usage, capacity, and telemetry data, working with various teams to optimize cost and utilization. Responsibilities include building dashboards, modeling data from multiple providers, defining core metrics, supporting forecasting, developing anomaly alerting, and ensuring data reliability.

Site Reliability Engineer to define and codify gold standards for day 2 operations of an ML infrastructure platform, focusing on robust systems, processes, automations, and observability to ensure reliability at scale and empower the organization. The role involves incident response, building observability tooling, and diagnosing runtime issues related to ML model deployment.

Baseten is seeking an OS / K8s Systems Engineer to build and automate the infrastructure that turns raw GPU hardware into production-ready compute for AI companies. This role focuses on the software layer for reproducible, scalable, and reliable infrastructure across data centers, including OS images, provisioning pipelines, and cluster orchestration.

Engineering Manager for Baseten's Platform Team, responsible for building internal systems to improve engineering productivity, collaboration, and quality through tooling, workflows, AI enablement, and development environments. Focuses on people leadership and technical direction for platform infrastructure.

Strategic Finance, GTM lead to partner with Sales and Marketing leaders, owning revenue forecasting, capacity planning, compensation design, and deal-desk for a consumption-based AI infrastructure company.

GTM Engineer to design, build, and ship AI-powered workflows for sales, marketing, and support functions. This role involves auditing the existing stack, identifying gaps, and building custom AI solutions using tools like Claude Code, integrating third-party APIs, and thinking in systems for stack consolidation.

This role is for an Integrated Marketing Manager at Baseten, a company that provides inference infrastructure for AI companies. The manager will be responsible for planning and executing multi-channel marketing campaigns to drive pipeline and accelerate go-to-market momentum. The role requires experience in campaign management, familiarity with marketing tech stacks, strong analytical skills, and an automation- and AI-native mindset.

Baseten is seeking a Content Engineer to join their team for a 3-month contract-to-hire position. The role focuses on creating written content for developers in the AI space, identifying high-leverage channels, and defining content discoverability playbooks. Responsibilities include shipping technical content, designing automated content production workflows using AI tools, and identifying relevant topics for the Baseten ICP. Requires hands-on developer experience (Python, Javascript, SQL) and comfort with GTM automation tools. Nice-to-haves include experience with AI/ML infrastructure and LLM tooling.

Product Manager for Baseten's core product, focusing on developer experience for building, deploying, and managing AI applications. The role involves shaping APIs, SDKs, UI workflows, and integration surfaces to simplify ML infrastructure for users.

Baseten is seeking an experienced Security Engineer to build and maintain the security posture of their ML infrastructure platform, which serves AI companies. The role involves security architecture, vulnerability management, incident response, IAM, compliance, employee training, and DevSecOps integration, with a focus on cloud and container security.

Software Engineer focused on the model developer ecosystem, revamping the model library to help developers discover, evaluate, and select models. This role involves creating guides, evaluations, and educational content to navigate the specialized AI model landscape, operating at the intersection of technical depth, community building, and product thinking.

Enterprise Account Executive role at Baseten, a company providing AI inference infrastructure. The role focuses on selling Baseten's platform to complex, regulated industries like financial services and healthcare. Responsibilities include owning the sales cycle, driving new business, acting as a trusted advisor, and collaborating with engineering and product teams. Requires 8+ years of enterprise B2B sales experience in technology, with a track record of closing large deals and experience in regulated industries. Technical acumen in areas like model serving and GPU infra is important. Nice to have direct experience selling AI/ML infrastructure.

Account Executive role at an AI inference platform company. Focuses on sales, prospecting, and closing new business with AI-native startups. Requires SaaS sales experience and ability to sell to technical audiences, with a preference for experience in developer/ML tooling.

Data Engineer to build and scale Baseten's internal data platform, transforming raw product and business data into reliable datasets that power decision-making. This role will design data models, pipelines, and analytics infrastructure, working with AI inference, infrastructure, and observability data to generate insights.

This role is for an Infrastructure Ops Engineer at Baseten, a company that provides inference infrastructure for AI companies. The engineer will manage the operational aspects of global infrastructure, focusing on hardware lifecycles, Kubernetes, and cloud-native tools. Key responsibilities include fleet maintenance, fulfilling customer capacity requests, improving system observability, orchestrating maintenance, documenting GPU-specific issues, and building automation to reduce manual intervention. The role acts as a bridge between customers, SRE, and infrastructure teams to ensure platform reliability and readiness for AI deployments.

Baseten is seeking an Onboarding Program Manager to build and lead their onboarding program for new hires. This role involves designing and delivering curriculum, enabling managers, and ensuring new hires are set up for success within the first 90 days in a fast-growing AI startup environment. The focus is on accelerating ramp time and reinforcing company culture and product knowledge.

Baseten is seeking a Performance Marketing Manager to own and scale their paid acquisition engine, focusing on converting ML engineers and AI builders into users, pipeline, and revenue. This role requires end-to-end ownership of paid acquisition strategy, rigorous funnel analytics, structured experimentation, and scaling high-performing campaigns to grow qualified pipeline while reducing CAC. The ideal candidate understands how to market to a technical audience, thinks in terms of funnels and metrics, and has experience in B2B SaaS or developer tooling with an interest in AI.

Software Engineer role focused on building new products for an AI inference platform. The role involves owning infrastructure capabilities like API gateways, auth, quotas, metering, and observability, with a focus on low-latency, reliable backend services and developer-friendly APIs. While not directly building ML models, the role is core to enabling AI companies to ship and operate their AI products at scale.

Sales Manager role at an AI infrastructure company, responsible for leading a team of Strategic Account Executives, driving revenue growth, and partnering with product and engineering. Requires strong technical acumen in AI/cloud infrastructure and experience in enterprise sales.

Sales Manager for Baseten, an AI inference infrastructure company, focusing on the startups segment. Responsibilities include leading a team of Account Executives, driving revenue, and collaborating with product/engineering. Requires sales and management experience, with a strong technical background in AI or cloud infrastructure.

Baseten is seeking a Cloud Platform Engineer to build and maintain scalable infrastructure for AI model deployment and operation. The role focuses on ensuring infrastructure is scalable, reliable, and efficient, automating processes, and collaborating with AI companies to support their inference needs. No prior ML experience is required, but openness to learning is expected.

Account Executive role at an AI infrastructure company focused on selling inference solutions to AI companies. Responsibilities include prospecting, closing new business, and consulting with customers to shape product roadmaps. Requires 4-7 years of SaaS sales experience, with a preference for experience selling to technical audiences or in developer/ML tooling.

Account Executive role at Baseten, an AI inference platform company. Focuses on prospecting, closing new business, and building relationships with AI startups. Requires 1-3 years of SaaS sales experience, technical audience selling, and interest in early-stage startups. Experience with developer/ML tooling is preferred.

This role focuses on building and architecting infrastructure and platform features for enterprise customers, including self-hosted clusters, private connectivity, and compliance solutions. It involves advancing self-hosted offerings, managing capacity, and implementing observability tooling within a cloud-agnostic environment.

Account Executive role at an AI inference platform company, focused on prospecting and closing new business, consulting with customers, and shaping product roadmaps. Requires 4-7 years of SaaS sales experience, with a preference for selling to technical audiences and experience with developer/ML tooling.

Software Engineer on the Internal Platform team at Baseten, a company that provides inference infrastructure for AI companies. This role focuses on building internal systems to improve engineering productivity, collaboration, and quality through tooling, workflows, and development environments. Responsibilities include creating diverse tooling, enhancing monorepos, designing shared libraries for observability, improving CI pipelines, managing Terraform modules, and supporting engineering teams.

Recruiter for an AI infrastructure company, focusing on hiring for the Sales team. This role involves full-cycle recruiting, sourcing, candidate experience, process improvements, and data analysis. Requires 3+ years of recruiting experience, preferably in a startup, with proven success in hiring for Sales teams.

This role is for an Infrastructure Finance Lead at Baseten, a company that provides inference infrastructure for AI companies. The lead will manage the P&L for compute infrastructure, forecast compute spend, and partner with cloud and GPU providers. The role requires strong financial modeling and operational execution skills, with experience in high-growth infrastructure or platform businesses. While the company operates in the AI space, the role itself is finance-focused and does not involve direct AI/ML development.