3 Artificial Intelligence jobs in Jeddah
Artificial Intelligence Engineer
Posted today
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At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.
**About Us**:
As the advanced central research and development organization of The Boeing Company, Boeing Research & Technology (BR&T) provides innovative technologies that enable the development of future aerospace solutions while improving the cycle time, cost, quality and performance of existing Boeing products and services.
**Location**:
King Abdullah University in Science and Technology, Jeddah, Saudi Arabia
**Primary Responsibilities**:
This is an Artificial Intelligence Engineer role. Your duties will include (but not limited to):
- Adapt and integrate various software packages into workable prototypes
- Design, apply, and create algorithms, methods, and tools addressing project requirements
- Participate in the software development and machine learning development processes- Collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations- Provide solutions to a variety of technical problems of moderate scope and complexity
- Work under general supervision, and no instructions are needed for routine work
- Leverage knowledge of Artificial Intelligence approaches and techniques
- Effectively communicate results to teammates and customers
- Demonstrate an interest in personal learning and development
- Seek feedback from multiple sources to improve and develop
**Basic Qualifications (Required Skills/Experience)**:
- Experience developing and deploying software programs
- Experience developing and evaluating learned models
- Experience preparing data to create learned models
- Experience with scripting languages for prototyping such as Python
- Experience with high level programming languages such a C++, C, Java
**Preferred Qualifications (Desired Skills/Experience)**:
- Bachelor's degree or higher in Computer Science or similar
- Experience with software frameworks such as Robot Operating System (ROS)
- Experience with Linux OS
- Experience with machine learning libraries, such as PyTorch.
- Experience with machine learning techniques, such as Support Vector Machines, Heuristics, Neural Nets, Markov Decision
- Experience with Machine Learning development and deployment pipeline, i.e. from data to model
- Knowledge of data structure, numerical optimization and algorithm complexity
- Experience with Agile methodology and repositories, such as Git
**Typical Education & Experience**:
Education/experience typically acquired through advanced education (e.g. Bachelor) and/or typically 2 or more years' related work experience or an equivalent combination of education and experience (e.g. Master).
**Relocation**:
This position does offer relocation.
**Equal Opportunity Employer**:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Machine Learning Specialist
Posted 19 days ago
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Job Description
Bachelor’s Degree in Computer Science or related field.
Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis.
- Proficiency in Python.
- Information Retrieval.
- Data Mining.
- Natural language Programming.
- Machine Learning
- Python Data Science stack (NLTK, Pandas, Numpy).
- Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.
- Experience taking a leading role in building complex software systems that have been successfully delivered to customers.
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Interested applicants should send their CVs with mentioning “machine learning specialist” in the subject line.
#J-18808-LjbffrSenior AI Engineer - Data & Infrastructure for Multimodal Models (100% Remote)
Posted today
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Job Description
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.
Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team, where you’ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development.
Responsibilities
Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).
Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.
Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.
Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.
Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.
Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.
Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.
Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.
Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.
Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.
Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.
Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.
Preferred Qualifications
Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.
Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page:
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or@ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
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