Machine Learning Engineer, Video

Cantina
London
11 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer - Research

Audio Machine Learning Engineer

Senior Machine Learning Engineer

Audio Machine Learning Engineer

A bit about Cantina:

Cantina, founded by Sean Parker, is a new social platform with the most advanced AI character creator. Build, share, and interact with AI bots and your friends directly in the Cantina or across the internet.

Cantina bots are lifelike, social creatures, capable of interacting wherever humans go on the internet. Recreate yourself using powerful AI, imagine someone new, or choose from thousands of existing characters. Bots are a new media type that offer a way for creators to share infinitely scalable and personalized content experiences combined with seamless group chat across voice, video, and text.

If youre excited about the potential AI has to shape human creativity and social interactions, join us in building the future!

A bit about the role:

We are looking for Research Engineers to contribute to the development of state-of-the-art AI systems for real-world applications, focusing on real-time and offline human-centric video generation (currently focusing on talking heads). Our technology leverages diffusion models, flow matching, and GANs. We are also working on network optimization and audio-driven avatars.

As a Research Engineer, you will work on:

  1. Data processing, cleaning, and filtering to ensure high-quality datasets for training and experimentation.
  2. Optimizing and accelerating pipelines to improve performance and efficiency.
  3. Testing hypotheses and building prototypes for new features or model improvements.
  4. Collaborating with researchers and engineers to integrate prototypes into production pipelines.
  5. Supporting the team in deploying and scaling AI solutions.

Requirements:

  1. Experience in data processing and creating efficient pipelines for large-scale datasets.
  2. Strong programming skills in Python, with expertise in frameworks like PyTorch.
  3. Knowledge of image/video generation, audio sequence-to-sequence models, model optimization, and distillation (experience in all areas is not mandatory).
  4. Publications in reputable conferences or journals are a plus.

Why Join Cantina AI?

  1. Opportunity to work on groundbreaking AI technologies that redefine human-computer interaction.
  2. Collaborative and inclusive culture that values innovation, continuous learning, and professional growth.
  3. Competitive compensation package including equity options, healthcare benefits, and flexible work arrangements.

Please note:

  1. This is aremoterole from London, England, but we are also open to remote in the GMT time zone.
  2. The salary starts at $175-250k + stock option plan.
  3. This is full-time employment only -no contractors possible- usually through Remote.com.
  4. We are unable to sponsor location based visas.

Application Process:Please submit your resume, cover letter, and any relevant portfolio or publications demonstrating your research contributions in AI.

J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.