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Diffusion Model New Jobs (NOW HIRING)

Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust ...

Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers) * Help optimize model performance and scaling capabilities * Assist in ensuring safe and robust ...

Senior/Staff Machine Learning Engineer

$107K - $146K/yr

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and ... Adapt diffusion modeling approach to specific real-world projects in collaboration with project ...

... NLP), Diffusion models, Gen-AI). Create representative case study to understand solution ... Prior Experience with researching and implementing new Deep Learning architectures. Prior ...

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and ... Adapt diffusion modeling approach to specific real-world projects in collaboration with project ...

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Diffusion Model New information

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$30

$52

$96

How much do diffusion model new jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for diffusion model new in the United States is $52.18, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $96.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Diffusion Model Engineer, and why are they important?

To thrive as a Diffusion Model Engineer, you need strong expertise in machine learning, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Experience with frameworks like PyTorch or TensorFlow, familiarity with diffusion model architectures, and knowledge of cloud computing platforms are essential technical qualifications. Creativity, problem-solving, and strong collaboration skills help you design novel models and work effectively in research or product teams. These competencies are crucial for developing state-of-the-art generative models that advance AI capabilities and meet organizational goals.

What are the typical collaboration points between a Diffusion Model Engineer and other teams within a machine learning organization?

Diffusion Model Engineers frequently collaborate with data scientists, research scientists, and software engineers to develop, optimize, and deploy generative models. They work closely with data teams to ensure high-quality, diverse datasets for training, and may partner with product or design teams to align model outputs with user needs. Regular cross-functional meetings and code reviews help ensure alignment on model objectives, deployment standards, and ethical considerations, making strong communication skills essential. This collaborative environment supports continuous learning and innovation, providing ample opportunities for professional growth and specialization.

What are Diffusion Model New jobs?

Diffusion Model New jobs refer to roles that focus on the development, application, and optimization of the latest diffusion models in machine learning and artificial intelligence. These positions typically involve research and engineering tasks related to generative AI, where diffusion models are used to create realistic images, text, or other data types. Professionals in this field work on innovating model architectures, improving training efficiency, and applying these models to real-world problems such as image synthesis, natural language processing, and beyond. The job may also require collaboration with multidisciplinary teams to deploy diffusion model solutions in industry or academia.

What is the difference between Diffusion Model New vs Data Scientist?

AspectDiffusion Model NewData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness, tech firms, research institutions
Industry UsageAI research, generative models, machine learning applicationsData analysis, predictive modeling, business insights

Diffusion Model New focuses on developing and refining generative AI models, often requiring advanced AI expertise. Data Scientists analyze data to extract insights and build predictive models. While both roles involve data and algorithms, Diffusion Model New is more specialized in AI research and model creation, whereas Data Scientists work across broader data analysis tasks.

Infographic showing various Diffusion Model New job openings in the United States as of May 2026, with employment types broken down into 5% Locum Tenens, 1% Full Time, 35% Part Time, and 59% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $108,534 per year, or $52.2 per hour.

Machine Learning Research Scientist, Generative Biology

Output Biosciences

New York, NY โ€ข On-site

$120K - $250K/yr

Full-time

Medical, Dental, Vision

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales โ€” from molecules to organisms โ€” enabling us to predict, understand, and program living systems in ways never before possible.

Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.

As a Generative AI Research Scientist, you'll work alongside our founders and team members to develop advanced generative models that can synthesize and design biological systems at multiple scales. Building upon our biological reasoning model, you'll focus on creating the generative capabilities that turn insights into innovations.

  • โ You will design and develop cutting-edge generative models specifically for biological data, creating AI systems that can generate novel molecular structures, protein designs, cellular components, and biological pathways.

  • You will design and implement state-of-the-art generative algorithms including diffusion models, language diffusion models, diffusion transformers, and flow matching approaches and tailor them to biological constraints and properties

  • You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters.

  • You will solve challenging AI research problems at scale, tackling key aspects such as model architecture and scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods.

  • Your work will span various advanced generative AI architectures, including transformers, diffusion models, and autoencoders, exploring and implementing these techniques to push the boundaries of biological AI.

Who We're Looking For:

  • You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field.

  • You have a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, Artificial Intelligence, or other relevant fields.

  • You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR).

  • You have extensive hands-on experience building and training generative models, such as diffusion models, flow matching, autoregressive models, GANs and VAEs.

  • You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX).

Who You Are:

  • You have excellent problem-solving skills and the ability to quickly adapt to new challenges.

  • You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and taking pride in solving them.

  • You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty.

  • You have excellent communication skills and can clearly articulate complex technical concepts.

  • You are motivated by making a real impact and are committed to tackling problems of significant consequence with determination and creativity.

Bonus points:

  • You have experience applying machine learning to biological or chemical problems.

  • You have knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, cheminformatics or related fields.

  • You have experience with multi-modal learning.

  • You have contributed to open-source machine learning projects.

  • You have experience in developing efficient code in C/C++.

Our Values

โค๏ธ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

๐Ÿ† Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

๐Ÿš€ Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

๐Ÿ“ฃ Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

๐ŸŽฎ Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage

Compensation Range: $120K - $250K