Get In

Browse

All Tech JobsThe whole board, newest first.Roles That Fit MeAnswer a few questions, see your matches.Early WindowFound before the big boards.Direct ApplyStraight to the manager, past the ATS.
What's new
82
  • No numbers in 3 bullets
  • Missing: Kubernetes, Terraform
  • Title matches the posting
Your CV, scored in 30 seconds
We read it the way an ATS does and tell you the three things to fix first.
Check my CV
Didn’t find what you were looking for? Tell us what to build

Your materials

CV AnalyzerWhat an ATS sees, and what to fix.Tailor CVBrought in line with one posting.Cover LetterWritten from your CV and the role.

You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Company hidden

Founding Member of Technical Staff

  • Office
  • 6+ years

Salary

$190,000 - 225,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

About Naive

Naive is building autonomous companies: agent systems capable of operating real businesses end to end.

We release autonomous company templates and benchmarks, alongside a studio—where users can deploy and operate these systems. Our infrastructure platform, Vetta, powers long-running, high-volume agent workloads.

Responsibilities

  • Build real-world agent environments, benchmarks and autonomous company blueprints—and make Vetta the best-performing agent within them.
  • Turn complex business workflows into reproducible agent environments
  • Design tasks, rewards, evals and benchmarks that measure real outcomes
  • Build production-ready autonomous company blueprints
  • Run experiments, analyze failures and improve agent performance
  • Develop training data and optimization loops from agent trajectories
  • Publish credible benchmarks, technical reports and demos

Requirements

  • Strong Python and research-engineering ability
  • Experience building agents, evals or RL environments
  • Deep understanding of tool use, long-horizon tasks and LLM failure modes
  • Ability to design rigorous experiments and ship production systems
  • High agency and comfort working on ambiguous 0→1 problems
  • Nice-to-Haves
  • RL or post-training experience
  • Browser, coding or computer-use agent experience
  • Experience publishing benchmarks or technical research
  • Familiarity with distributed agent infrastructure
  • P.S. If you’ve made it to the bottom of this listing and are serious about every point on this role, send Sean a LinkedIn connect with a note.
  • Experience: 3+ years
  • Visa: US citizen/visa only

Where you’d work

From the office

The office

No visa sponsorship

You must already be able to work in the United States

About the company

Company hidden

  • Industry: AI

Office in Mountain View, United States

Your chances

Still hiring, not crowded yet, and a person reads your message.

  • 20 checks run
  • 9 good signs
  • 1 red flag

Still hiring?

13 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 3 h agoModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
  • A tight salary range, set for one seat: $190K to $225KSlight evidence
1 moreFewer
  • A hiring contact is attached to itSlight evidence

How crowded?

7 checks

Low

In its favour5

  • You can message the hiring contact and skip the queueModerate evidence
  • In the office in Mountain View: only people nearby can take itSlight evidence
  • Only for people already authorized to work in United StatesSlight evidence
2 moreFewer
  • Senior level: far fewer people qualifySlight evidence
  • Pays below most similar roles, which thins the crowdSlight evidence

Against it1

  • Open for 2 weeks: applications have had time to pile upModerate evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Check My Fit
Details15 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • LLMs
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
AI
Specialty
ML
Show 9 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
3+ years
Tech stack
  • Python
  • LLMs

Location

Work model
Office
Region
United States
Office
  • Mountain View, United States
Visa sponsorship
Not sponsored
Must already work in
  • United States

Compensation

Salary
$190,000 - 225,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
AI

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Data & AI Engineer Intern

    Salary by agreement

    • Hybrid · Paris
    • Junior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    AI Engineer

    $80,000 - 210,000 / year

    • Office · CA, Austin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior AI/ML Engineer

    $200,000 - 260,000 / year

    • Office · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Member of Technical Staff, ML Infra

    Salary by agreement

    • Office · San Francisco
    • Senior

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason