JOIN NOW Post Job

Live · 11,196 open AI roles

AI Jobs

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Direct message the job poster from Siemens Jamie Sidwell Jamie Sidwell Connecting People - Changing Lives. TALENT ACQ...

$12k* · Senior Fully remote

We are seeking a Postdoctoral Research Scientist in Pandemic Epidemiology to join our vibrant research environment at...

Fulltime Ai

$184k* · Senior Fully remote

The Department of Chemical Engineering and Materials Science invites applications for a Research Scientist – Rheology...

Parttime Machine Learning Data Science Ai

Fully remote

At Allstate, great things happen when our people work together to protect families and their belongings from life’s u...

Remote Ai Data Science

$100k - $170k · Senior Fully remote

We are now looking for a Research Scientist New Grad with a focus in Platform Architecture and Runtime Systems. NVIDI...

Fulltime Ai

$168k - $264k · Senior Fully remote

Requisition ID 195135 Date posted 02/24/2026 Work Location Model On-site Flex Work Location Tualatin-OR Work Country ...

Remote Machine Learning Deep Learning Data Science

$195k* · Senior Fully remote

Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making signi...

Fully remote

It currently takes over 10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical tri...

Fulltime Ai Machine Learning

Fully remote

It currently takes over 10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical tri...

Fulltime Ai Machine Learning

Fully remote

Aether provided pay range This range is provided by Aether. Your actual pay will be based on your skills and experien...

Machine Learning Ai

$160k* · Senior Fully remote

Pay found in job post Retrieved from the description. Base pay range $140,000.00/yr - $260,000.00/yr

Ai Engineer Machine Learning Ai

$140k* · Senior Fully remote

Requisition ID: 918774 Store #: A00152 Tech Srvcs Wholesale DAL-T Position: Full-Time Total Rewards: Benefits/Incenti...

Fulltime Machine Learning Ai

$918k* · Senior Fully remote

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving...

Fulltime Remote Machine Learning Ai

Fully remote

We are looking for a motivated AI Engineer to join our team and support the development of AI solutions. Project over...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

CompanyQualcomm Technologies, Inc.Job AreaEngineering Group, Engineering Group > Software EngineeringGeneral SummaryW...

Machine Learning Mlops Ai

$12k* · Senior Fully remote

OPENTEXT - THE INFORMATION COMPANY OpenText is a global leader in information management, where innovation, creativit...

Ai Ai Engineer Mlops

Fully remote

Location London Sector: Digital & Technology Job type: Contract Salary/Rate: negotiable Contact: Amy Hughes Contact e...

Ai Ai Engineer Generative Ai

$19k* · Senior Fully remote

In this role you will work in the Customer Success team, within the Technical Operations function responsible for the...

Fulltime Remote Machine Learning Data Science

Fully remote

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ426R186 Mission The AI Forward Deployed Enginee...

Ai Ai Engineer Machine Learning Generative Ai

$10k* · Senior Fully remote

THE COMPANY We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. ...

Fulltime Machine Learning Data Science Mlops

Fully remote

Selected role

Research Scientist, Physics x AI

Siemens Princeton, NJ

$12k Senior Full-time

Direct message the job poster from Siemens

Jamie Sidwell

Connecting People - Changing Lives. TALENT ACQUISITON AND BUSINESS ENRICHMENT: RECRUITING | COACHING | SPEAKING | FACILITATION 630.319.7847

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?Transform the everyday with us!In this role you will work onsite in our Princeton, NJ office.We are an AI research Lab specializing in Physics x AI research. Our mission is to scale the capabilities of AI in the physical domain, encoding diverse scientific and engineering knowledge into neural networks to tackle complex, high-impact industrial and scientific problems. As an integral part of Siemens’ Data Analytics & AI organization, we drive physical AI innovation for an industrial scale.Our team is part of Siemens Technology, Siemens’ central in-house research department. It acts as a strategic partner to support our executive units with R&D and innovation services, protects the company's intellectual property, coordinates collaborations with top universities worldwide, and supports standardization activities in all business units and regions.As a Physics x AI Research Scientist, you will explore and build the next generation of scalable, generalizable physics-aware foundation models. We actively welcome candidates from a broad range of backgrounds—including fluid dynamics, electromagnetics, electrical engineering, systems engineering, and biological domains such as protein folding—who are passionate about encoding physical, biological, or engineering priors into modern AI systems. You’ll focus on architectures (especially transformers) that move beyond the limitations of narrow, hard-coded models into robust solutions that generalize across geometries, conditions, and disciplines.Your future impact areas may include:
Systems engineering and verification workflows (from design through manufacturing)
AI-native electronic design automation (EDA) and chip design
Any other discipline where physical or biological priors in AI can bring breakthrough scale and generalization

A research scientist in our team will:
Translate business needs into actionable project proposal, negotiate project terms and budget
Steer delivery of complex, multi-national, strategic projects in cooperation with stakeholders and the project team
Validate the market potential of new AI innovation and develop business models for products, services, and solutions.
Drive ideas from ideation to productization with a customer mindset
Own global Siemens cross-company technology roadmaps and shape the interfaces to other technologies
Work with our U.S.-based and global research groups to proactively shape the strategy of our AI research and pre-development operation in the S.
Shape the subsidies and grants portfolio for our AI research and pre-development in the U.S.
Communicate complex technology topics to non-experts and executive decision-maker
Conduct hands-on research and development scalable, physics-aware foundation models
Model and encode knowledge from diverse scientific and engineering domains - including but not limited to fluid dynamics, electromagnetics, electrical engineering, biology/protein folding (excluding quantum science)
Document and publish research, and present proposals and results confidently to both internal and external large audiences
Proactively engage with Siemens domain experts, their customers and partners to understand real-world problems, collect requirements, and co-create innovative solutions
Translate cutting-edge research into industrial impact, including proof-of-concept projects, identifying and closing research gaps
Identify, adopt, and apply evolving trends in machine learning, physics-informed AI, and AI for science
Collaborate with our interdisciplinary Princeton-based lab and contribute to Siemens’ global Data Analytics & AI network

Basic Qualifications:
Master’s degree with relevant research/industry experience or PhD in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Biophysics, Bioinformatics, or similar from an accredited university.
Demonstrated research background with strong publication record (e.g. NeurIPS, ICML, IEEE, AAAI, L4DC) or equivalent industrial research achievements in industrial AI, physics-informed AI, physical AI and/or AI for science
Demonstrated ability to training neural architectures capable of learning and/or encoding priors from physics, chemistry, biology and/or engineering
Proficiency in one or more modern programming languages (e.g. Python, C++)
Hands-on experience with transformer architectures and deep learning (e.g. PyTorch, JAX, NVIDIA NeMo or similar libraries)
Fundamental knowledge of software engineering principles and modern software development methodologies
Eagerness and ability to present research proposals and results confidently to large, diverse technical and business audiences
Proficiency in English both written and verbal
Authorized to work in the United States without Corporate Sponsorship now or in the future
Successful candidates must be able to work with controlled technology in accordance with U.S. Export Control Law. U.S. Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific U.S. Export Control laws and regulations.

Preferred Qualifications:
Proven ability to translate ideas from state-of-the-art research into real-world/business impact
Experience with large-scale, distributed AI/foundation model training
Familiarity with AI-based surrogate modelling for CFD, AI-native chip design, protein folding, or verification workflows
Domain Knowledge and/or experience in the fields of Predictive Maintenance for Industrial Infrastructure, Automation Engineering, Manufacturing, or Electrification are a plus
Experience participating in international project teams and strong customer orientation
Proven track record of successfully responding to U.S. government grants is a plus
Strong knowledge of the Siemens product portfolio is a plus
Additional language skills, in particular German, are a plus.

About Siemens:We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resourceefficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.Our Commitment to Equity and Inclusion in our Diverse Global Workforce:We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.#Technology, #researchandevelopment, #engineering, #innovation, #siemensjobs, #techjobs, #appliedresearch$126,307 $216,526 10%

Show less

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Research

Industries

Automation Machinery Manufacturing

Showing 5041–5060 of 11,196 AI roles

1 … 251 252 254 255 560

AI Jobs

Find your next AI role

Research Scientist, Physics x AI

Postdoctoral Research Scientist in Pandemic Epidemiology

Research Scientist (Temporary, Part-Time) - Rheology and Materials Processing , Chemical Engineering and Materials Science

Senior Data Scientist - Agentic AI

Research Scientist, Platform Architecture and System Software - PhD New College Grad 2026

Data Scientist 3

AI Research Scientist

Principal AI ML Engineer - Evinova

Associate Principal AI ML Engineer - Evinova

Machine Learning Engineer

AI/ML Engineer

Data ML Engineer

ML Engineer

AI Engineer

MLOps Engineer - ML Platform

Lead AI Engineer

GENERATIVE AI ENGINEER

Junior ML engineer

AI Engineer - FDE (Forward Deployed Engineer)

ML Platform Engineer (Senior)