Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 12 hours ago

Applied Research Scientist

Meta1,235 open roles

Where
Bellevue, WA; Menlo Park, CA; Seattle, WA; Burlingame, CA; New York, NY
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowApplied Research ScientistMeta · Bellevue, WA; Menlo Park, CA; Seattle, WA; Burlingame, CA; New York, NY

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 12 hours ago

Meta median: 35 days open

The posting

This role is within the Agent Data and Optimization team. The team is the Applied AI org’s data and research environment engine: we turn world-class technical expertise into the training data, reinforcement learning (RL) environments, evaluations, and feedback loops that make Meta’s models and the products built on them the best in the world. Our research and agentic work directly improves Muse family of models and powers products such as Muse Code and the Muse assistant. This unique data and research infrastructure is a key differentiator for Meta, complementing our investments in compute and model architecture.

Why this is exciting: You’ll work directly on frontier AI models, not adjacent to them. We’re a significant, well-funded organization with the ethos of an AI startup: new, highly entrepreneurial, flexible, and already delivering measurable impact. Research and RL environments from our team went directly into the latest Muse release and helped the Muse family of models compete at the frontier.

As a Research Scientist, you’ll independently own ambitious applied research from question to measured result. You’ll identify capability gaps, formulate hypotheses, develop methods and benchmarks, build experimental environments and high-quality RL environments, and analyze agent behavior to distinguish genuine progress from shortcuts. The work centers on advancing AI through: - Original research that develops agents’ ability to reason, experiment and solve complex technical problems. - Evaluation and benchmarks that measure meaningful progress and generalization. - High-quality RL environments grounded in expert knowledge.

Why Join Us - Shape what frontier models can do Your expertise helps identify the capabilities to develop and the evidence used to measure progress. Your work will directly improve the family of Muse models and push the boundaries of what frontier AI can do. - Own the research from idea to results Take a research question from definition through implementation, experiments and measured results. You’ll combine research judgment with hands-on engineering and help set the technical direction of your work. - Work on open research questions Investigate how agents learn from feedback, make progress across successive experiments and apply what they learn to new problems. Develop methods that can distinguish genuine improvement from errors and shortcuts. - Collaborate across research and engineering Work with other domain experts, engineers and researchers across Applied AI. Build on shared knowledge, challenge assumptions and turn promising ideas into reproducible methods and systems.

Depending on your interests and strengths, your work may focus on model learning, evaluation methods, research environments, or data and experimental infrastructure. The role combines deep technical judgment with implementing and testing ideas.

Responsibilities

  • Identify capability gaps and formulate research questions that advance AI agents’ reasoning and problem-solving abilities.
  • Develop research methods, benchmarks and experimental environments with reliable, reproducible measurements.
  • Create and curate high-quality data, and build pipelines that support model training and evaluation.
  • Analyze agent behavior and design feedback that rewards useful progress and tests generalization to new problems.
  • Lead research from hypothesis through implementation and measured results, collaborating with Meta’s model development and research teams.

Minimum Qualifications

  • A PhD in Computer Science, AI, relevant technical field, or equivalent practical experience
  • 3+ Years Experience leading major research initiatives or influencing technical strategy across teams
  • Demonstrated ability to build reliable technical systems and evaluate their results
  • A strong track record of first-author publication on AI-related topics with experience presenting the work
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

US: $154,003/year to $217,000/year + bonus + equity

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Meta's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Meta's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Meta's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.