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Prime Intellect
Actively Hiring
open superintelligence and infra11-50 Employees
  • B2B
  • Early Stage
    Startup in initial stages
  • Growing fast
    Showed strong hiring growth in the past month

Jobs at Prime Intellect

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Head of Product

NewPosted 2 days ago

Head of Product

  • Set a focused product direction with the founders and technical leads. Turn customer needs and new technical capabilities into clear choices about what we build next.
  • Shape the connected customer experience across our whole platform: environments, evaluations, training, deployment, and traces. Partner with the teams building Model Factory, Data Factory, inference, and sandboxes to make those workflows work together.
Engineering

Member of Technical Staff - Security Eng.

NewPosted 7 days ago

Member of Technical Staff - Security Eng.

  • Harden cloud, GPU, and server infrastructure across hosted and customer-controlled environments, including Linux, Kubernetes, networking, and tenant isolation.
  • Build security telemetry, audit trails, detections, and actionable alerts for suspicious access, workload behavior, and data movement.
Engineering

Member of Technical Staff - IT & Security Eng.

NewPosted 7 days ago

Member of Technical Staff - IT & Security Eng.

  • Own our Mac fleet from first boot to retirement: purchasing, inventory, enrollment, setup, patching, encryption, and secure recovery.
  • Run identity and SaaS access across Google Workspace, SSO, and MFA. Give people and agents the access they need, with clear permissions, regular reviews, and reliable revocation.
Operations

Head of People

NewPosted 1 week ago

Head of People

  • Shape our approach to performance, development, and reviews, helping ambitious people do their best work and grow with Prime.
  • Partner with the founders, finance, and talent on compensation, equity, leveling, and progression as the company scales.
Operations

Office Manager

NewPosted 1 week ago

Office Manager

  • Help drive the office move end to end — vendors, logistics, and onsite needs — as the first priority
  • Run SF HQ day to day: space, kitchen and snacks, furniture, supplies, mail, and packages
Engineering

Applied Researcher - Sovereign AI

NewPosted 2 weeks ago

Applied Researcher - Sovereign AI

  • Build a private improvement loop that turns sensitive traces into environments, training signal, evaluations, and deployable model updates without crossing the operator's data boundary.
  • Train a tool-using domain agent whose actions are permissioned, traceable, recoverable, and evaluated against real procedures rather than generic benchmarks.
Engineering

Applied Researcher - Scientific AI

NewPosted 2 weeks ago

Applied Researcher - Scientific AI

  • Build long-horizon environments where agents search literature, query scientific databases, run code and domain tools, and choose experiments within a fixed compute or experimental budget.
  • Turn research partners' workflows, datasets, and outcome criteria into trainable tasks, evaluations, and reward signals.
Engineering

Applied Researcher - Robotics

NewPosted 2 weeks ago

Applied Researcher - Robotics

  • Build aligned simulation and real-world evaluations for a long-horizon embodied task, then measure exactly where policies fail to transfer.
  • Combine demonstrations, interventions, offline data, and online feedback into a training loop that improves behavior without erasing prior competence.
Engineering

Applied Researcher - Quantitative Finance

NewPosted 2 weeks ago

Applied Researcher - Quantitative Finance

  • Build a quantitative-research environment where an agent forms a hypothesis, writes and runs analysis, runs a backtest on point-in-time data, diagnoses the result, and decides what to test next.
  • Design rewards and evaluations that distinguish durable improvement from the artifacts of look-ahead bias, data leakage, overfitting, favorable execution assumptions, or hidden concentration and tail risk.
Engineering

Lead Applied Researcher - New York

NewPosted 2 weeks ago

Lead Applied Researcher - New York

  • Turn the first portfolio of New York field programs into research agendas with strong owners, comparable evidence, and explicit paths from domain result to shared capability.
  • Personally lead a high-stakes program through environment design, baseline, post-training, evaluation, and deployment while establishing the quality bar for the growing team.
Engineering

Applied Researcher - Forward-Deployed RL

NewPosted 2 weeks ago

Applied Researcher - Forward-Deployed RL

  • Turn a partially documented workflow and business goal into an environment, baseline, and evaluation that the customer team agrees measures the right outcome.
  • Improve a domain agent through RL or another post-training method while separating model limitations from task, harness, inference, and integration failures.
Engineering

Applied Researcher - Ecosystem & Product

NewPosted 2 weeks ago

Applied Researcher - Ecosystem & Product

  • Make a new researcher successful from environment idea to credible evaluation and training run without hiding the underlying experimental choices.
  • Turn fast-moving internal agent and RL abstractions into stable public interfaces without freezing weak ideas prematurely.
Engineering

Applied Researcher - Continual Learning

NewPosted 2 weeks ago

Applied Researcher - Continual Learning

  • Select high-value production traces and interventions, convert them into training signal, and establish regression gates before a change reaches deployment.
  • Determine which adaptation belongs in model weights, harness state, memory, tools, or data, then measure the tradeoffs across a sequence of tasks.
Engineering

Applied Researcher - Computer Use

NewPosted 2 weeks ago

Applied Researcher - Computer Use

  • Build long-horizon computer-use environments from real workflows while preventing shortcuts, leakage, and unsafe side effects.
  • Train agents to recover from interface changes, partial failures, and ambiguous intermediate states instead of restarting or silently drifting.
Engineering

Applied Researcher - Chip Design

NewPosted 2 weeks ago

Applied Researcher - Chip Design

  • Build an interactive verification environment where an agent reads a specification, writes or repairs RTL, invokes simulation or formal tools, interprets failures, and iterates toward a verified result.
  • Design rewards and evaluations that combine functional correctness with tool efficiency, robust...
Engineering

Applied Researcher - Agentic RL

NewPosted 2 weeks ago

Applied Researcher - Agentic RL

  • Build agentic judges and credit-assignment methods that inspect complete trajectories, use tools, and assign useful learning signal beyond one final score.
  • Make multi-agent and long-horizon environments train reliably at scale while preserving debuggable traces and comparable baselines.
Other Engineering

Research Engineer - RL Infrastructure

NewPosted 2 weeks ago

Research Engineer - RL Infrastructure

  • Build and optimize the systems infrastructure behind large-scale RL and distributed training workloads by contributing to our prime-rl https://github.com/PrimeIntellect-ai/prime-rl framework.
  • Improve end-to-end training efficiency across compute, memory, networking, and scheduling layers.
Engineering

Research Engineer / Scientist - Reinforcement Learning

NewPosted 2 weeks ago

Research Engineer / Scientist - Reinforcement Learning

  • Develop and test RL methods for reasoning, coding, and long-horizon tasks, including changes to training objectives and policy optimization.
  • Investigate stability in asynchronous RL, including policy staleness, trainer/sampler mismatch, and numerical differences between training and rollouts.
Engineering

Research Engineer - Pre-training Data

NewPosted 2 weeks ago

Research Engineer - Pre-training Data

  • Find, evaluate, and collect valuable training data from web, code, and technical sources.
  • Build scalable pipelines that turn raw data into training-ready corpora through extraction, cleaning, deduplication, and filtering.
Engineering

Research Engineer - Pre-training

NewPosted 2 weeks ago

Research Engineer - Pre-training

  • Build and extend the pre-training code in prime-rl, taking small experiments into full training runs.
  • Evaluate model architecture changes, including MoE and attention designs, against model quality and training cost.