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

Open nowPosted 71 days ago

Founding ML Researcher

Base Compute3 open roles

Where
Berlin
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowFounding ML ResearcherBase Compute · Berlin

  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 Base Compute'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.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 71 days ago

The posting

ABOUT US

Base Compute is an AI inference lab. Our mission is to bring AGI on device. We believe in a world where everyone has access to intelligence: fast, private and always available on your device.

We’re building the infrastructure for the next generation of on-device AI, from silicon-level optimizations to distributed inference systems.

We’re working on hard problems at the intersection of inference efficiency, model intelligence and autonomous research.

THE ROLE

We’re looking for a Founding ML Researcher to work at the frontier of on-device AI. This role is for someone who identifies problems and potentials, designs and executes experiments and derives insights that translate into real-world performance.

You’ll have significant ownership over our research agenda and direct influence on the technical bets the company makes.

WHAT YOU’LL WORK ON

- Inference research: Identifying and validating new approaches to on-device efficiency, including speculative decoding variants, novel quantization schemes and entirely new techniques yet to be discovered

- Model routing research: Building the intelligence that decides how requests are served between on-device vs. frontier API models

- Autoresearch pipelines: Designing systems that can autonomously explore, hypothesize and evaluate research ideas that accelerate our R&D loop

- Evaluations and benchmarks: Developing rigorous evals that measure performance in the real world, outside of clean academic settings

WHAT WE’RE LOOKING FOR

- PhD in ML or equivalent industry research experience

- Deep understanding of LLM architectures and the principles of AI inference

- Expertise in a relevant topic, such as speculative decoding, quantization theory, model distillation, reinforcement learning

- A track record of producing results that people build on: research papers, open-source projects or blog posts that prove out novel ideas

- Good communication: the ability to explain complex ideas simply, give honest feedback and document findings in a reproducible way

- Nice-to-haves:

- Familiarity with GPU and accelerator architectures and kernel optimization (CUDA, ROCm, Metal, Triton, etc.)

- Experience deploying models under on-device constraints (memory bandwidth, latency budgets, and thermal and power ceilings)

WHAT WE OFFER

- Founding team equity and strong base salary

- Direct influence on technical direction: your ideas will shape the roadmap

- Work on genuinely hard problems that haven't been solved yet

- Small team, fast iteration, low bureaucracy

LOCATION

The team is based in Melbourne and Berlin and works in-person from the office most days. We require strong written and spoken English, since the team collaborates across time zones.

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 Base Compute'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 Base Compute'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

    Base Compute'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.