San Francisco, California, United States · Remote OK
$150k–$300k/yr
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, env…
Skills: Machine Learning Engineering, Reinforcement Learning, Post-training, Model Alignment, Distributed Training
San Francisco, California, United States · Hybrid
$135k–$200k/yr
Who We Are Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, an…
Skills: Partnerships, Business Development, Ecosystem Growth, Relationship Building, Strategic Planning
San Francisco, California, United States · On-site
$150k–$250k/yr
About Town Town is an applied AI company building a powerful assistant that makes it easy for anyone to create and use software in their everyday work. Town starts from who you are — it builds a persistent model of your …
Skills: Full-cycle Sales, Enterprise Deal Closing, Pipeline Management, Product-led Growth, Customer Onboarding
San Francisco, California, United States · On-site
Platform EngineerAbout Pi Pi is building an agentic product security platform for teams that need to secure software at Pi is building an agentic product security platform for teams that need to secure software at the sp…
Skills: Cloud Infrastructure, Kubernetes, Infrastructure as Code, CI/CD, Observability
San Francisco, California, United States · Hybrid
$100k–$120k/yr
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified…
Skills: Enterprise Software Sales, Pipeline Management, Lead Qualification, Outbound Prospecting, Salesforce.com
San Francisco, California, United States · On-site
Frontend Software EngineerAbout Pi Pi is building an agentic product security platform for teams that need to secure software at the speed they build it. Modern development is accelerating, but security knowledge is stil…
Skills: TypeScript, React, Next.js, Tailwind CSS, Frontend Architecture
San Francisco, California, United States · Hybrid
$70k–$85k/yr
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified…
Skills: Enterprise Software Sales, Pipeline Management, Lead Qualification, Outbound Prospecting, Sales Forecasting
San Francisco, California, United States · Hybrid
$100k–$120k/yr
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified…
Skills: Enterprise Software Sales, Pipeline Management, Lead Qualification, Outbound Prospecting, Salesforce
San Francisco, California, United States · On-site
AI Engineer, Search & Knowledge SystemsAbout Pi Pi is building an agentic product security platform for teams that need to secure software at the speed they build it. Modern development is accelerating, but security know…
Skills: Python, TypeScript, RAG Architectures, Vector Search, Information Retrieval
San Francisco, California, United States · On-site
$175k–$210k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Distributed Systems, Cloud Services, Observability, API Design, Microservices
San Francisco, California, United States · Hybrid
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, env…
Skills: Python, Rust, TypeScript, React, Next.js
San Francisco, California, United States · On-site
$215k–$260k/yr
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from elect…
Skills: Distributed Systems Design, Go, Kubernetes, Telemetry Pipelines, Time-Series Databases
San Francisco, California, United States · Remote OK
About Us Cracken is an applied AI lab building world’s first full kill chain proactive cyber platform. Built by cyber warfare-experienced operators and AI researchers Cracken keeps digital infrastructure resilient so bus…
Skills: Go-To-Market Strategy, Enterprise Sales, Revenue Leadership, Cybersecurity Sales, Pipeline Management
San Francisco, California, United States · Hybrid
$197k–$345k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: People Management, Distributed Systems, Cloud Native Architecture, Golang, Java
Menlo Park, California, United States · On-site
$132k–$189k/yr
We are seeking a Program Manager to join Meta's Global Product Quality (GPQ) team and drive localization testing programs. This role is responsible for helping Meta's product teams validate how well their products perfor…
Skills: Program Management, Localization Testing, QA Operations, Vendor Management, Internationalization
San Francisco, California, United States · Hybrid
$75k–$124k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Enterprise Technology & Infrastructure Job Details About Sa…
Skills: Technical Writing, API Documentation, Content Strategy, AI Tooling, Markdown
San Francisco, California, United States · Hybrid
$300k–$330k/yr
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructu…
Skills: Enterprise B2B Sales, Strategic Account Management, Complex Sales Cycles, Technical Sales, Prospecting
San Francisco, California, United States · Remote OK
$100k–$150k/yr
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aec…
Skills: Project Management, Technical Delivery, Agile Methodologies, Cross-Functional Collaboration, Risk Management
San Francisco, California, United States · Hybrid
$196k–$265k/yr
EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher …
Skills: Machine Learning, Python, Distributed Systems, API Design, NLP
San Francisco, California, United States · On-site
$180k–$240k/yr
About Pylon Pylon is building the future of B2B customer support. We believe support should be a strategic advantage: deeply technical, tightly connected to the product, and increasingly powered by AI. Because support is…
Skills: Technical Support Leadership, Scaling Support Organizations, AI Implementation, Knowledge Management, Incident Response
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Design and implement next-generation AI agents and post-training methods like RLHF and GRPO to align models with real-world workloads. Act as a technical bridge between customers and research teams to translate applied data into product and research priorities.
Requires a strong background in ML engineering with expertise in distributed training frameworks and large-scale model alignment. Candidates should have a track record of research contributions and experience deploying containerized systems at scale.
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
Role Impact
This is a customer facing role at the intersection of cutting-edge RL/post-training methods, applied data, and agent systems. You’ll have a direct impact on shaping how advanced models are aligned, evaluated, deployed, and used in the real world by:
Advancing Agent Capabilities: Designing and iterating on next-generation AI agents that tackle real workloads—workflow automation, reasoning-intensive tasks, and decision-making at scale. Working with applied data from real deployments to continuously refine policies, improve reasoning, and enhance reliability and safety.
Building Robust Infrastructure: Developing the distributed systems, evaluation pipelines, and coordination frameworks that enable these agents to operate reliably, efficiently, and at massive scale. Building data capture, processing, and versioning workflows for feedback, model traces, and reward signals.
Bridge Between Customers & Research: Translating customer needs and insights from applied data into clear technical requirements that guide product and research priorities. Collaborating closely with RL and eval teams to ensure real-world signals inform model alignment and reward shaping.
Prototype in the Field: Rapidly designing and deploying agents, evals, and harnesses alongside customers to validate solutions. Using applied evaluation data to iterate on model performance and discover new capabilities.
Customer-Facing Engineering
Work side-by-side with customers to deeply understand workflows, data sources, and bottlenecks.
Prototype agents, data pipelines, and eval harnesses tailored to real use cases, then hand off hardened systems to core teams.
Translate customer insights and evaluation results into roadmap and research direction.
Post-training & Reinforcement Learning
Design and implement novel RL and post-training methods (RLHF, RLVR, GRPO, etc.) to align large models with domain-specific tasks.
Build evaluation harnesses and verifiers to measure reasoning, robustness, and agentic behavior in real-world workflows.
Integrate applied data collection and analytics into the post-training process to surface regressions, emergent skills, and alignment opportunities.
Prototype multi-agent and memory-augmented systems to expand capabilities for customer-facing solutions.
Agent Development & Infrastructure
Rapidly prototype and iterate on AI agents for automation, workflow orchestration, and decision-making.
Extend and integrate with agent frameworks to support evolving feature requests and performance requirements.
Architect and maintain distributed training and inference pipelines, ensuring scalability and cost efficiency.
Develop observability and monitoring (Prometheus, Grafana, tracing) to ensure reliability and performance in production deployments.
Requirements
Strong background in machine learning engineering, with experience in post-training, RL, or large-scale model alignment.
Experience with applied data workflows and evaluation frameworks for large models or agents (e.g., SWE-Bench, HELM, EvalFlow, internal eval pipelines).
Deep expertise in distributed training/inference frameworks (e.g., vLLM, sglang, Ray, Accelerate).
Experience deploying containerized systems at scale (Docker, Kubernetes, Terraform).
Track record of research contributions (publications, open-source contributions, benchmarks) in ML/RL.
Passion for advancing the state-of-the-art in reasoning, measurement, and building practical, agentic AI systems.
What We Offer
Cash Compensation Range of $150-300k + equity incentives
Flexible Work (remote or San Francisco)
Visa Sponsorship & relocation support
Professional Development budget
Team Off-sites & conference attendance
Growth Opportunity
You’ll join a mission-driven team working at the frontier of open, superintelligence infra. In this role, you’ll have the opportunity to:
Shape the evolution of agent-driven, data-informed solutions—from research breakthroughs to production systems used by real customers.
Collaborate with leading researchers, engineers, and partners pushing the boundaries of RL, evaluation, and post-training.
Grow with a fast-moving organization where your contributions directly influence both the technical direction and the broader AI ecosystem.
If you’re excited to move fast, build boldly, and help define how agentic AI is developed and deployed, we’d love to hear from you.
Ready to build the open superintelligence infrastructure of tomorrow?
Apply now to help us make powerful, open AGI accessible to everyone.
The Open Superintelligence Stack
Prime Intellect makes frontier AI training accessible to every company. We operate as both a full-stack platform and an open research lab, enabling organizations to train their own models by directly leveraging our state-of-the-art agentic training infrastructure.
Offices: San Francisco, US
Based on 3487 listings with disclosed salaries, most software jobs in San Francisco, CA pay between $140k–$290k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 4,497 open software positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, Salesforce, Harvey, Amazon, among others. Browse the listings above to see every active employer.
Yes — 2643 of the 4497 open software positions offer remote or hybrid work (628 remote, 2015 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
