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

Open nowPosted 161 days ago

Machine Learning Scientist

Rime Labs4 open roles

Where
United States
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowMachine Learning ScientistRime Labs · United States

  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 Rime Labs'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.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 161 days ago

The posting

MACHINE LEARNING SCIENTIST

Rime builds voice AI for enterprises running customer experiences at scale. Our text-to-speech models are purpose-built for high-volume conversational deployments, engineered for the pronunciation accuracy, latency, and deployment flexibility that production environments actually demand.

We started from a different premise than the rest of the field: voice AI isn't bottlenecked by model architecture. It's bottlenecked by data. So before we trained a single model, we built our own corpus: full-duplex, studio-quality conversational speech, recorded and annotated by PhD linguists. That's our moat. It's also why enterprises pick Rime when pilots need to convert into production.

We're backed by top-tier investors including Unusual Ventures, and we've built a team at the intersection of product, research, and craft. Building voice models is an art. We intend to master it.

ROLE OVERVIEW

We're hiring a Machine Learning Scientist to push the frontier of speech synthesis and speech understanding at Rime.

What You'll Own

- Design, train, and evaluate speech synthesis models, autoregressive and non-autoregressive.

- Drive research on full-duplex and half-duplex multi-modal architectures, including unified S2S systems.

- Choose and iterate on speech representations: neural codecs, semantic tokens, mel features, continuous latents.

- Build rigorous evaluation, objective and perceptual. Hold the bar on quality and prosodic control.

- Collaborate with our linguists on TTS frontend behavior so modeling and frontend choices reinforce each other.

WHAT WE'RE LOOKING FOR

- Deep familiarity with the speech synthesis literature, contemporary and historical — Tacotron, FastSpeech, VITS, VALL-E, the codec-LM lineage. Opinions on what worked and why.

- Hands-on training with neural codecs (EnCodec, DAC, Mimi, etc.) and multiple representation choices.

- Experience with full- or half-duplex multi-modal modeling (Moshi, LLaMA-Omni, streaming S2S).

- Strong attention to detail on data quality. You notice when an annotation pipeline is silently degrading or when an eval set has leakage.

- Willing to roll up your sleeves on unglamorous data and training work — paired with the agency to build pipelines so the team isn't stuck doing it by hand.

- Working knowledge of TTS frontend (G2P, normalization, prosody) and experience working with linguists.

- Strong PyTorch fundamentals. Comfortable with training loops, distributed training, model internals.

- PhD or equivalent research experience in speech, audio, ML, or computational linguistics or a track record that makes the credential irrelevant.

Nice to have

- Multilingual TTS experience.

- Background in prosody or paralinguistics.

- Published work in speech, audio, or core ML venues.

- Experience taking research models to production: quantization, distillation, streaming inference.

WHY JOIN RIME

- Category-defining voice AI infrastructure, not incremental research deltas.

- Direct collaboration with founders, including a CEO with a Stanford computational linguistics PhD.

- Real impact on company trajectory.

- Meaningful equity upside.

- High ownership, high standards, low bureaucracy.

What We Offer

- Competitive base + meaningful early-stage equity

- Remote-friendly

- Visa sponsorship available

- Access to a proprietary, full-duplex, studio-quality conversational speech corpus

- Compute and tooling to do the work

- Direct influence on the future of voice AI

At Rime, we...

- Are outliers

- Cut through the hype to focus on the craft

- Move fast with agency and freedom

- Maintain a growth mindset, finding joy in the struggle

- Do the right things, knowing that it'll lead to making money

If that sounds like you too, you'll be a great fit for Rime!

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 Rime Labs'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 Rime Labs'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

    Rime Labs'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.