Member of Technical Staff, Applied Scientist

Reinforce Labs; Palo Alto (CA); On-site; USD 115,000 - 197,000; Full time

Job summary

A leading company in AI technology is seeking a Member of Technical Staff, Applied Scientist. This role involves tackling high-impact problems using machine learning to enhance decision-making and system reliability. You will develop innovative AI tools that address critical challenges in real-world applications. The ideal candidate has deep expertise in machine learning, particularly in production environments, and a passion for using AI to improve safety and efficiency.

Benefits

Medical insurance

Vision insurance

Qualifications

• Deep experience with machine learning, including LLMs and NLP.
• Hands-on experience training and shipping models in production.

Responsibilities

• Develop AI-driven probes to uncover edge-case failures.
• Build classifiers to surface subtle violations and risks.

Skills

Machine Learning

Python

Judgment

Education

Advanced degree in Computer Science

Tools

Cloud-based ML Infrastructure

C++

Rust

Go

Job description

Member of Technical Staff, Applied Scientist

Member of Technical Staff, Applied Scientist

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At Reinforce Labs, we build AI systems that help make complex, high-impact applications safer and more reliable. Our work spans both sides of the problem: developing generative tools that expose weak points in existing workflows, and building intelligent systems that help human operators navigate uncertainty, scale judgment, and take action with greater speed and clarity.

This is a hands-on, deeply technical role. You’ll work on high-ambiguity, high-impact problems where the path isn’t obvious but the stakes are real.

Projects include:

• Developing AI-driven probes to uncover edge-case failures in critical workflows
• Building classifiers to surface subtle violations, risks, or anomalies
• Training generative models that simulate rare or high-risk inputs
• Designing systems that enhance human decision-making under pressure
• Prototyping and deploying intelligent tools that help operators respond faster

We care about real-world outcomes. You’ll work across research and engineering boundaries, and ship tools that help protect people and platforms at scale.

Must-Have

• Deep experience with machine learning (LLMs, NLP, RL, deep learning, etc.)
• Hands-on experience training and shipping models in production
• Proficiency in Python
• Strong judgment and ability to move through ambiguity
• Experience working across both research and software boundaries
• Motivation to use AI to defend, not just to demo

Nice-to-Have

• (a big plus) Experience with trust & safety, moderation, or security-focused ML
• An advanced degree in computer science or a related field is valued.
• Familiarity with LLM prompt attacks, jailbreaks, reward modeling, or eval tools
• Experience building safety ops tools or automating nuanced workflows
• Familiarity with Cloud based ML infra (Ray, SageMaker, W&B, etc.)
• Knowledge of at least one systems language (e.g. C++, Rust, Go)
• Publication in top tier conferences (ICLR, ICML, Neurips, ACL ..) or open-source contributions

Who We Are

Reinforce Labs is a small team with a clear mission: use AI to make critical systems safer, not just smarter. We move fast. We help each other. We take our work seriously and ourselves lightly. We don’t do politics, theater, or prestige. We build.

We value:

• Technical excellence
• Ownership and urgency
• Clarity over noise
• Being good to each other while doing hard things

You are:

• Hands-on, curious, and driven
• Honest and thoughtful under pressure
• Obsessed with building things that matter
• Humble enough to learn, and confident enough to lead

You are not:

• Political
• Posturing
• Coasting on credentials

Why Join Us

• Build both offensive and defensive AI to test and secure real systems
• Work on meaningful, high-stakes problems
• Ship fast, own what you build, and see it used
• Help shape a team and culture with high trust and high integrity

If this sounds like your kind of problem space, reach out. Show us something you’ve built—especially if it was uncomfortable, risky, or broke something important.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Software Development

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Medical insurance

Vision insurance

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