Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Leverage LLMs, RAG pipelines, diffusion models, and vector databases * Ensure systems are ... Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW)
Senior Machine Learning Engineer
New York, NY · Remote
$165K - $225K/yr
... chemical staining processes. This innovation supports the critical evolution from research ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...
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Senior Machine Learning Engineer
New York, NY · Remote
$165K - $225K/yr
... chemical staining processes. This innovation supports the critical evolution from research ... Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement ...
... Diffusion, and Runway ML. * Prototype interactive experiences, brand moments, or UI/UX flows using ... Document your process and learnings to help build scalable workflows and design systems infused ...
... Diffusion, and Runway ML. * Prototype interactive experiences, brand moments, or UI/UX flows using ... Document your process and learnings to help build scalable workflows and design systems infused ...
... Diffusion, and Runway ML. * Prototype interactive experiences, brand moments, or UI/UX flows using ... Document your process and learnings to help build scalable workflows and design systems infused ...
... Diffusion, and Runway ML. * Prototype interactive experiences, brand moments, or UI/UX flows using ... Document your process and learnings to help build scalable workflows and design systems infused ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
Founding iOS Engineer
New York, NY · On-site
$200K - $300K/yr
To do this we're developing cutting-edge diffusion models and designing novel, personalized ... Define mobile development processes - including planning, testing, releasing, and monitoring
Founding iOS Engineer
New York, NY · On-site
$200K - $300K/yr
To do this we're developing cutting-edge diffusion models and designing novel, personalized ... Define mobile development processes - including planning, testing, releasing, and monitoring
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and ... for processing massive datasets and scaling machine learning models. - Develop and maintain ...
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
... processes. Key Responsibilities: Generative AI Model Implementation: * Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
Diffusion Process Engineer information
What are the key skills and qualifications needed to thrive in the Diffusion Process Engineer position, and why are they important?
To excel as a Diffusion Process Engineer, you need a strong foundation in materials science, chemical engineering, and semiconductor fabrication processes, generally supported by a relevant engineering degree. Familiarity with cleanroom protocols, process simulation tools (such as TCAD), statistical process control (SPC), and certifications like Six Sigma are commonly expected. Excellent problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and troubleshoot process issues efficiently. These combined qualifications and skills are essential to ensure high-yield manufacturing processes and continual improvement in semiconductor production environments.
What are common daily responsibilities for a Diffusion Process Engineer in the semiconductor industry?
As a Diffusion Process Engineer, your typical day often includes monitoring and optimizing diffusion furnace operations, analyzing process data, and troubleshooting equipment or yield issues to ensure efficient semiconductor wafer production. You'll work closely with operators, equipment technicians, and other engineers to implement process improvements and maintain strict cleanroom standards. Regular tasks may also involve conducting experiments, documenting procedures, and collaborating on cross-functional teams to support new product introductions or resolve production challenges. This varied workflow provides valuable opportunities to deepen your expertise and contribute to advancing manufacturing technology.
What is a Diffusion Process Engineer job?
A Diffusion Process Engineer is responsible for developing, monitoring, and optimizing diffusion and thermal processes in semiconductor manufacturing. They work with high-temperature furnaces and doping techniques to alter the electrical properties of silicon wafers. Their role includes process development, equipment maintenance, troubleshooting, and ensuring production meets quality and efficiency standards. They collaborate with equipment engineers, integration teams, and manufacturing personnel to improve yield and process stability.
What are popular job titles related to Diffusion Process Engineer jobs in New York? For Diffusion Process Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Diffusion Process Engineer jobs in New York look for? The top searched job categories for Diffusion Process Engineer jobs in New York are:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 10 days ago
Job description
Company Description
Within Publicis Groupe's Intelligent Creativity business, we specialize in bringing creative ideas to life, and to consumers. By combining 100 years of craft excellence with 6,000 experts across 52 locations of the world's biggest studio network, we leverage the industry's richest data, through the power of agentic AI, to radically redefine content production with Intelligent Content. We intuitively deliver this through Marcel Make, the world's first Intelligent Content agent. The result? Predictively performing content that unlocks business growth in unprecedented ways. No more guesswork. No more waste. Just content that works, working a lot harder.
We are hiring an AI Systems Engineer to architect, build, and productionize AI-powered tools that directly transform how content is created, adapted, and scaled.  This role is focused on engineering working systems, taking concepts from PoC to MVP to production-grade tooling - that integrate into our content supply chain and are actively used by operators.  You will operate inside the Solution organization as a builder, developing modular AI services, experimentation frameworks, and deployable intelligence layers that enhance and evolve production workflows.Â
OverviewÂBuild functional AI systems, not theoretical modelsÂ
Translate opportunity areas into working prototypes and scalable servicesÂ
Develop production-ready tools used by operators to create and optimize contentÂ
Bridge innovation, engineering, and production executionÂ
Partner with research and analytics teams to translate insights into deployable AI logic Â
AI System Design & EngineeringÂ
Design and develop end-to-end AI-powered services for content production workflowsÂ
Build modular components (APIs, services) that integrate with enterprise platformsÂ
Leverage LLMs, RAG pipelines, diffusion models, and vector databasesÂ
Ensure systems are extensible, reusable, and production-safeÂ
Build modular, extensible systems using Infrastructure as Code (e.g., Terraform) to enable repeatable environments, scalable architecture, and seamless service integration. Â
PoC to MVP to Production DeliveryÂ
Rapidly prototype capabilities to validate feasibilityÂ
Evolve prototypes into MVP tools with real operator usageÂ
Productionize systems with scalability, reliability, and workflow integrationÂ
Workflow & Tooling InnovationÂ
Build AI-assisted generation pipelines and content optimization toolsÂ
Develop reusable, modular capabilities that scale across clientsÂ
Enable self-service and assisted creation models for operatorsÂ
Intelligence Layer DevelopmentÂ
Engineer systems that convert data and performance signals into actionable inputs (e.g. integrated content recommendation engine)Â
Guide content creation, adaptation, and optimization decisionsÂ
Integration with Production EcosystemÂ
Integrate solutions into production environments including workflow and DAM systemsÂ
Ensure outputs are telemetry-driven, traceable, governed, and compliant across systems and workflows.Â
Engineering Standards & GovernanceÂ
Design and implement CI/CD pipelines (e.g., Git-based workflows) to support automated build, test, and deployment for reliable, continuous delivery.Â
Build systems that adhere to secure data handling and enterprise security standards. Â
Ensure observability, monitoring, and auditability of systemsÂ
- 7-10+ years in software engineering, AI/ML engineering, or related fieldsÂ
2-5+ years' experience in content production-grade softwareÂ
Strong Python proficiency and experience with modern AI/ML frameworksÂ
Experience building and deploying production-grade systemsÂ
Familiarity with LLMs, RAG, generative models, and cloud-native architecturesÂ
Experience with APIs, microservices, and system integrationÂ
Ability to translate complex requirements into scalable engineering solutionsÂ
Strong collaboration skills across technical and non-technical teamsÂ
What Success Looks LikeÂ
PoCs consistently evolve into production tools used by operatorsÂ
AI-powered systems are embedded into content production workflowsÂ
Capabilities are delivered as reusable, scalable servicesÂ
The organization operates as a product-building engine, not just strategyÂ
AI becomes infrastructure within production, not experimentationÂ
Technical CompetenciesÂ
Python, APIs, and modular system architecture (microservices)Â Â
LLMs, advanced prompt engineering system design, and RAG pipelines Â
Vector databases (e.g., Pinecone, FAISS) and data modeling (SQL)Â Â
Generative AI systems (diffusion models, ComfyUI) and fine-tuning methods (LoRA) Â
Cloud platforms (GCP/AWS), Docker, Kubernetes, and Terraform (IaC)Â Â
CI/CD pipelines (Git-based workflows, automated build/test/deploy)Â Â
Workflow orchestration and enterprise integrations (DAM, CMS, Workfront)Â Â
Media processing pipelines (image/video/3D asset handling - e.g. GLB, OBJ, STL, CAD, RAW) Â
Telemetry, logging, monitoring, and model evaluation/governanceÂ
Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
Compensation Range:USD $168,150.00 - USD $269,217.00 Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.Â
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply
 Compensation Range: USD $168,150.00 - USD $269,217.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 5/26/2026.Employment Type: FULL_TIME