jobster04.02.26
AI SCORE 8.5

Machine Learning Engineer - Computer Vision (Generative Media) Remote

$90K–$120K/year
RemoteAI/Big DataVisaRelocation

About the Role

We are seeking a talented Machine Learning Engineer to join our innovative team focused on computer vision and generative media. This remote position offers an exciting opportunity to work at the forefront of AI technology, where you'll help create systems that empower creators worldwide. If you're passionate about turning cutting-edge research into production-ready technology, this role is for you!

What You'll Do

  • Develop and implement multi-stage inference systems for video, text, images, audio, and 3D content generation.
  • Utilize your deep knowledge of modern deep learning architectures and optimization techniques.
  • Collaborate with a diverse team of researchers and artists to build creative AI tools.
  • Design, train, and evaluate deep learning systems using frameworks like PyTorch or JAX.
  • Stay updated with the latest advancements in ML literature beyond just generative models.

Requirements

  • Proven experience as a Machine Learning Engineer with a focus on computer vision.
  • Strong proficiency in PyTorch or JAX.
  • Deep understanding of ML fundamentals, including math, probability, and optimization.
  • Experience developing computer vision models for images and video.
  • Ability to invent new methods and advance the state of the art in AI.

Nice to Have

  • PhD in Computer Science or Machine Learning.
  • Published research in top-tier ML conferences such as NeurIPS, ICML, or ICLR.
  • Experience with generative models for video.

What We Offer

  • Competitive salary and relocation support.
  • Access to world-class compute resources.
  • Collaborative environment with leading researchers and artists.
  • Opportunities for professional growth and development.
  • Encouragement for underrepresented talent to apply.
Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of AI and creativity, with competitive compensation and relocation support.

Salary Range
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Bonus
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About jobster

Explore jobster careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Leverage advanced filters to find your ideal position, utilize application tracking for seamless submissions, and gain valuable company insights to enhance your chances of landing a job at jobster. Start your journey to a fulfilling career with jobster today and unlock your potential!

Industry
Tech
Location
Remote

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