Technical Staff, Machine Learning - (Remote - North America and Europe)

Jobgether; United Kingdom; Remote; GBP 260,000 - 325,000; Full time

Job summary

A leading company in AI-driven job matching is seeking a Member of Technical Staff specializing in Machine Learning. This remote position focuses on developing innovative multimodal AI systems for media generation, requiring strong expertise in machine learning and computer vision. The role offers a competitive salary, comprehensive benefits, and opportunities to work with a world-class team.

Benefits

Health insurance

Paid time off

Retirement plans

Flexible remote work options

Diverse and inclusive environment

Qualifications

• 5+ years of relevant experience in machine learning or computer vision.
• Expertise in major machine learning frameworks like PyTorch or TensorFlow.
• Strong programming skills and ability to write clean research code.

Responsibilities

• Develop machine learning models for generative media applications.
• Collaborate with product teams to deploy models in production.
• Maintain high standards of clean research code and documentation.

Skills

Machine Learning

Computer Vision

Programming

Collaboration

User-Centric Design

Tools

PyTorch

TensorFlow

Job description

Technical Staff, Machine Learning - (Remote - North America and Europe)

Technical Staff, Machine Learning - (Remote - North America and Europe)

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Member of Technical Staff, Machine Learning in North America and Europe.

As a Machine Learning Engineer, you will be responsible for developing innovative multimodal AI systems to push the boundaries of content creation for media generation. You will work alongside a world-class team, building generative models in computer vision, focusing on image and video. This role involves rapid prototyping, collaborating closely with cross-functional teams, and bringing cutting-edge machine learning models to production in a fast-paced, high-ownership environment.

Accountabilities:

• Develop and innovate machine learning models, particularly in computer vision, for generative media applications such as image and video
• Work with engineering teams to push the boundaries of content creation on the browser, driving advancements in media generation technologies
• Collaborate closely with the product team to deploy cutting-edge machine learning models into production environments
• Maintain high standards of clean, maintainable research code and contribute to team knowledge sharing through excellent documentation
• Prototype solutions quickly and iterate on them with tight product deadlines, ensuring continuous improvements to the system
  
  
  

Requirements

• 5+ years of relevant experience in machine learning, computer vision, or graphics engineering/research
• Expertise in at least one major machine learning framework, such as PyTorch or TensorFlow
• Strong programming skills with the ability to write clean and efficient research code
• A deep interest in human-in-the-loop systems for creativity, with a focus on user-centric design
• Strong communication skills and experience collaborating in fast-paced, cross-functional teams
• Ability to manage tight product deadlines while maintaining a high standard of work
  
  
  

Benefits

• Competitive salary range of $260,000-$325,000 (for U.S. candidates, with adjustments for other regions)
• Comprehensive benefits package, including health insurance, paid time off, and retirement plans
• Opportunities to work with a world-class team at the cutting edge of AI and media technology
• Flexible remote work options across North America and Europe
• A diverse and inclusive environment fostering collaboration, innovation, and personal growth
  
  
  

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.

If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Non-profit Organizations and Primary and Secondary Education

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