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Verus Research Jobs (NOW HIRING)

Finance and accounting, sales and marketing, research and development, manufacturing, and continuous process improvement, supply chain management, new business development, and customer relationship ...

CATIA Programmer

Tacoma, WA · On-site

$50 - $70/hr

Responsible for researching and incorporating, where viable, the latest technological advances in all facets of machining, finishing and assembly technologies so that PMW will be recognized as a ...

Staff Accountant

Torrance, CA · On-site

$72K - $82K/yr

Research and obtain necessary supporting documents and approval. Follow-through on discrepancy issues and approvals. * Charges expenses to accounts and cost centers by analyzing invoice/expense ...

Finance and accounting, sales and marketing, research and development, manufacturing, and continuous process improvement, supply chain management, new business development, and customer relationship ...

Verus Research information

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$11

$22

$37

How much do verus research jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for verus research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Verus Research vs Data Analyst?

AspectVerus ResearchData Analyst
Required CredentialsBachelor's or higher in STEM fields, security clearance often preferredBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentResearch labs, government agencies, defense and intelligence sectorsCorporate offices, consulting firms, government agencies
Employer & Industry UsagePrimarily government, defense, and research institutionsBusiness, finance, healthcare, technology sectors

Verus Research focuses on advanced scientific and defense research, often requiring security clearances and specialized technical skills. Data Analysts analyze data to inform business decisions, typically working in corporate or government settings without security clearance. While both roles involve data and technical expertise, Verus Research emphasizes research and development in defense and scientific fields, whereas Data Analysts focus on data interpretation for operational insights.

More about Verus Research jobs
What cities are hiring for Verus Research jobs? Cities with the most Verus Research job openings:
What states have the most Verus Research jobs? States with the most job openings for Verus Research jobs include:
Infographic showing various Verus Research job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 84% Part Time, and 8% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Member of Technical Staff - US Talent Pool

Reasonable AI

San Francisco, CA • On-site

Full-time

Posted 10 days ago


Job description

Reasonable is the applied AI research company building formal verification for post-human software development.
Correctness guarantees for software developed by humans and machines are no longer impractical or prohibitively expensive. Code generated by AI can be provably correct, rather than plausibly functional. At Reasonable, we are doing the research, training the models, and developing the products required to make this a reality. Achieving this creates a new paradigm for high accountability software development and unlocks the full potential of AI for professional engineers.
We're a compact, talent-dense technical team, with deep domain expertise in machine learning, formal verification and mathematical models of program semantics. Join us to develop the next frontier of formal reasoning and software engineering.
Proof follows function.
The Role
As a Member of Technical Staff, you will play a key early role at the core of Reasonable's research, engineering, and product development. Your work will shape the research vision and develop new capabilities at the frontier, where novel training approaches and formal methods intersect. Ultimately, your work will be instrumental in enabling formal oversight in software development.
Projects our team is working on include designing evals for state of the art coding models, developing novel post-training paradigms grounded in formal methods, and building the tooling to deliver correctness guarantees in production software engineering.
We're an early-stage team tackling hard problems with varying degrees of predictability. Our roles require adaptability but, in return, we adapt to the candidate's strengths. The entry point is depth in either machine learning or formal methods, alongside a strong software engineering background.
Requirements
We're looking for
  • Domain expertise in either machine learning or formal methods, with active interest in learning the other
  • Evidence of extremely fast learning of deeply technical subjects
  • Experience running machine learning experiments, ideally at scale
  • Experience post-training large language models
  • Strong software engineering practice: advanced git workflows, testing, containerisation, code review, etc
  • Familiarity with MLOps tools and training across multi-GPU clusters
  • An understanding of specification-aware programming (Verus, Dafny, TLA+), proof assistants and verification tools ( LEAN, Isabelle)
  • AI-natives, with experience using AI-assisted programming tools (Claude Code and similar)

Bonus Points If You
  • Actively contribute to formal verification or program synthesis projects: Verus, Lean, Dafny, or similar
  • Have run production back-end services at scale; you've felt the pain of what testing can't prove
  • Have been accountable for distributed systems; you respect the failure modes that emerge from concurrency, consensus, and partial failure

This is an unusual profile. If that's you, get in touch. If you are close to it, we still want to hear from you! If you know someone that would be ideal, we always reward great introductions.
Benefits
  • Compensation: Generous salary, with equity and additional benefits
  • Location: San Francisco, with flexibility for team and conference travel - we're an on-site team
  • Visa sponsorship: available for the perfect candidate
  • World-class team and environment: an opportunity to build alongside deeply experienced founders, in a well-funded company that's backed by industry leading VCs and angels including Oriol Vinyals, Zoubin Ghahramani, Jonathan Frankle and Guy Podjarny, amongst many others