Skip to content

Open nowFirst seen 3 days ago

Machine Learning Researcher

Transparent Search Group151 open roles

Pay
$200,000 a year
Where
San Francisco, California, United States
Get the CV for this job

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

Your applicationOpen nowMachine Learning ResearcherTransparent Search Group · San Francisco, California, 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 Transparent Search Group'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.

12.1% 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. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Machine Learning Researcher

Company: Confidential — venture-backed technology company

Location: San Francisco, CA (South Park office, in person 5 days per week)

Compensation: $200,000 base + highly competitive early-stage equity

Employment Type: Full-time

Visa Sponsorship: Visa transfers; can sponsor visas

About the Company

The client is pursuing general causal intelligence: AI that can predict the future and identify the actions that change it. It is building a Large Physics foundation Model (LPM), because domains governed by physics have inherent cause-and-effect structure that visual or textual data lacks. Its starting domain is weather, the most observed physical system on earth, with rapid ground-truth feedback and data volumes that dwarf LLM training sets.

The founders come from Cruise, Google Research and Meta. The company is about 10 people in San Francisco, growing to around 35 this year, and is backed by Kindred Ventures, Refactor and BoxGroup.

The Role

The client is hiring ML researchers to build powerful physics models grounded in observable feedback and verifiable ground truth. If you have done frontier research and trained large-scale models from scratch in language, vision, robotics or biology, you will work across the full ML stack to build a Large Physics foundation Model, starting with weather.

What You Will Do

  • Work across the full ML stack: data, model, evaluation and infrastructure.
  • Implement novel model architectures and training algorithms.
  • Build data pipelines and training infrastructure for massive, petabyte-scale, multimodal datasets.
  • Iterate rapidly on experiments and ablations, and read results through careful analysis.
  • Bring new ideas from current research into the work.

What You Bring

  • 1+ years training large-scale foundation models from scratch (pre-training ideal), not only fine-tuning
  • Strong ML fundamentals and depth in at least one core domain (computer vision, sensor fusion, language models, physics-informed networks)
  • Distributed training and inference across hundreds to thousands of GPUs
  • Petabyte-scale data pipelines for model training
  • A mission-driven passion for science or the physical world
  • Individual-contributor focus
  • Ability to work in person in San Francisco 5 days a week

Nice to Have

  • Research lab experience (e.g. DeepMind, FAIR)
  • PhD or Master's in a quantitative field; background in physics or related sciences
  • Meteorology, computational fluid dynamics or numerical simulation

Interview Process

Initial screen, culture interview (30 min), technical screen, onsite day.

Tech Stack

Python, PyTorch, Weights & Biases, large-scale GPU clusters (100s-1000s of GPUs)

Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

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 Transparent Search Group'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 Transparent Search Group'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

    Transparent Search Group'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.

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.