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

Open nowPosted 5 hours ago

Machine Learning Intern

Helical

Where
London, England, United Kingdom
Get the CV for this job

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

Your applicationOpen nowMachine Learning InternHelical · London, England, United Kingdom

  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 Helical'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 5 hours ago

The posting

As a Machine Learning Engineer intern at Helical, you'll build, optimize, and scale real-world applications of bio foundation models.

You'll work closely with researchers and product engineers to productionize model training, inference, and deployment workflows. You'll also help push the limits of foundation models by prototyping new methods, contributing to our core ML infrastructure, and translating research into fast, iterative code.

This is a deeply technical role with high ownership - ideal for engineers who want to operate at the bleeding edge of AI infrastructure, model development, and system design.

What You'll Do

  • Build and maintain scalable training/inference pipelines for various biological foundation models architectures (e.g. Transformers, SSMs).
  • Optimize model performance, latency, and throughput across environments.
  • Apply the latest post-training research to current architectures and data setups.
  • Design modular, reusable ML components for internal and open-source use.
  • Collaborate with researchers to turn notebooks into production-grade systems.
  • Own ML infrastructure components (data loading, distributed compute, experiment tracking, etc.).
  • Drive experimentation around fine-tuning, transfer learning, and evaluation at scale.

Requirements

Essentials

  • MSc or PhD in Machine Learning, Computer Science, Applied Math, or similar.
  • Strong Python programming skills, with deep knowledge of PyTorch, JAX, or TensorFlow.
  • Hands-on experience building and scaling ML pipelines in real-world settings.
  • Comfort with MLOps tools and practices (e.g. Weights & Biases, Ray, Docker, etc.).
  • Experience with modern ML architectures - Transformers, Diffusion Models, SSMs, etc.
  • High agency, fast iteration speed, and comfort with ambiguity in early-stage environments.

Bonus Points

  • Contributions to open-source ML libraries or tooling.
  • Experience with distributed training, model compression, or serving at scale.
  • Familiarity with foundation model evaluation and benchmarking frameworks.
  • Knowledge of how to integrate ML systems into user-facing applications or APIs.
  • Interest in the biology/pharma space.

Benefits

What we offer:

  • Proven product already in use with top pharma
  • Opportunity to shape a category-defining company at an inflection point
  • High ownership, direct impact, and close collaboration with founders
  • Competitive Salary, Equity and Benefits
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 Helical'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 Helical'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

    Helical'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.