machine learning researcher

Apple

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products &amp; experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for a machine learning researcher to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models. 
 
Description 
 
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. 
 
Minimum Qualifications 
<ul><li>
Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.)</li><li>
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX</li><li>
Experience with rapid prototyping, reproduction, and validation of research ideas</li><li>
Ability to work in a collaborative environment</li><li>
Ability to communicate the results of analyses in a clear and effective manner</li><li>
BS and a minimum of 3 years relevant industry experience.</li></ul> 

Preferred Qualifications 
<ul><li>
Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.</li><li>
Track record of translating research into practical applications either through published work or industry experience.</li><li>
Deep expertise in multimodal foundation models, with a focus on practical applications.</li><li>
Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems.</li><li>
Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems.</li><li>
Experience bridging research ideas with production constraints.</li></ul> 

Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Submit Resume</div>

Applied Machine Learning Researcher - Multimodal Foundation Models

Lucidya

<div>Lucidya is looking for a passionate and innovative AI Researcher to join our dynamic team. In this role, you will be responsible for conducting cutting-edge research in artificial intelligence and machine learning, contributing to the development of intelligent systems that can solve complex problems and enhance our products.
As an AI Researcher, you will analyze existing AI technologies, propose novel solutions and methodologies, and collaborate with cross-functional teams to implement your research findings. Your work will involve experimenting with algorithms, training models, and validating results to push the boundaries of what AI can achieve in various industries.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Conduct research on advanced AI and machine learning techniques to drive innovation.</li>
<li>Experiment with various algorithms and methodologies to improve the performance of AI models.</li>
<li>Analyze large datasets to derive insights and inform research directions.</li>
<li>Collaborate with software engineering teams to implement AI solutions in products.</li>
<li>Stay updated on the latest advancements in AI and machine learning.</li>
<li>Document and present research findings clearly for internal and external stakeholders.</li>
<li>Contribute to publications and participate in conferences to share findings.</li>
</ul>Requirements<ul>
<li>Education:</li>
<li><ul><li>A Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li>
</ul></li><li>Experience:</li>
<li><ul><li>2+ years of experience in AI research or a related domain.</li>
<li>Familiarity with AI/machine learning frameworks such as TensorFlow or PyTorch.</li>
<li>Demonstrated experience in data analysis and statistical methods.</li>
</ul></li><li>Technical Skills:</li>
<li><ul><li>Proficient programming skills in Python and experience in data manipulation.</li>
<li>Knowledge of machine learning algorithms and practices.</li>
</ul></li><li>Soft Skills:</li>
<li><ul><li>Strong analytical and problem-solving abilities.</li>
<li>Good communication skills to present research findings effectively.</li>
<li>Ability to work cooperatively in a team-oriented environment.</li>
</ul></li></ul>Benefits<h3 class="jobSectionHeader">
Why Join Us?</h3>
This is more than just an engineering role, it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</div>

AI Researcher

Lucidya | لوسيديا

<div>
 Lucidya is looking for a passionate and innovative AI Researcher to join our dynamic team. In this role, you will be responsible for conducting cutting-edge research in artificial intelligence and machine learning, contributing to the development of intelligent systems that can solve complex problems and enhance our products.
 
 
 As an AI Researcher, you will analyze existing AI technologies, propose novel solutions and methodologies, and collaborate with cross-functional teams to implement your research findings. Your work will involve experimenting with algorithms, training models, and validating results to push the boundaries of what AI can achieve in various industries.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct research on advanced AI and machine learning techniques to drive innovation
 </li>
 <li>
 Experiment with various algorithms and methodologies to improve the performance of AI models
 </li>
 <li>
 Analyze large datasets to derive insights and inform research directions
 </li>
 <li>
 Collaborate with software engineering teams to implement AI solutions in products
 </li>
 <li>
 Stay updated on the latest advancements in AI and machine learning
 </li>
 <li>
 Document and present research findings clearly for internal and external stakeholders
 </li>
 <li>
 Contribute to publications and participate in conferences to share findings
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education:
 </li>
 <ul>
 <li>
 A Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
 </li>
 </ul>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 2+ years of experience in AI research or a related domain
 </li>
 <li>
 Familiarity with AI/machine learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Demonstrated experience in data analysis and statistical methods
 </li>
 </ul>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Proficient programming skills in Python and experience in data manipulation
 </li>
 <li>
 Knowledge of machine learning algorithms and practices
 </li>
 </ul>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Good communication skills to present research findings effectively
 </li>
 <li>
 Ability to work cooperatively in a team-oriented environment
 
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role, it's an opportunity to
 
 shape the infrastructure and technical future of Lucidya
 
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 
 
 We offer
 
 Employee Stock Option Plans (ESOP)
 
 to give you ownership in the company's success, along with
 
 performance-based bonuses
 
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

Open Data Science

A software development company is looking for a talented, long-term Lead DS Researcher.We're looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.About the companyCompany Top Remote TalentThe company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.ResponsibilitiesYou will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning - especially in the context of medical and clinical data - and turning complex problems into innovative solutions.Requirements What we're looking for: Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);Solid experience with deep learning frameworks like PyTorch or TensorFlow;Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;Familiarity with medical or life science data is a strong plus;Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;Comfortable working in Google Cloud Platform (GCP) environments. Bonus points for experience with: State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;Experience with pipeline orchestration tools like Airflow, Argo, etc.;Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;Intermediate+ English - ability to participate in written discussions with international teams and clients.Working conditions Benefits: Join a mission-driven team working at the intersection of data, medicine, and impact;Work on meaningful challenges with long-term value for public health and healthcare quality;Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;Fully remote-friendly setup with flexibility and trust at the core. Contacts Log In Only registered users can open employer contacts.<img src="https://www.jobg8.com/Tracking.aspx?oz7KrmCIbPRwpsVo3HMc9YhoUv2EUbwje" width="0" height="0" />

Lead Data Science Researcher

United Arab Emirates University

Job Description
 
The Big Data Analytics Center (BIDAC) at the United Arab Emirates University (UAEU) is seeking an outstanding Postdoctoral Researcher to join its growing team focused on Artificial Intelligence, Natural Language Processing (NLP), and Large Language Model (LLM) research and deployment. The selected candidate will contribute to high-impact research and applied projects aimed at developing domain-specific, efficient, and explainable LLMs tailored to the UAE’s strategic sectors such as education, healthcare, and digital government. Working within one of the UAE’s leading AI research centers, the Postdoc will have access to state-of-the-art computing infrastructure, a multidisciplinary research environment, and collaboration opportunities with national and international partners. This position is ideal for researchers who wish to advance the frontier of AI and NLP and translate research into real-world, deployable systems that drive digital transformation in the region. Key Responsibilities: • Conduct cutting-edge research in machine learning, NLP, and LLM optimization (fine-tuning, distillation, quantization). • Develop and evaluate novel architectures, hybrid AI approaches, and explainable NLP systems. • Design and implement retrieval-augmented generation (RAG) and knowledge graph-enhanced LLM frameworks. • Collaborate with faculty, data engineers, and PhD/MSc students on research projects and publications. • Publish high-quality papers in top-tier journals and conferences (e.g., NeurIPS, KDD, etc.). • Support AI infrastructure setup, including GPU-based servers, data pipelines, and MLOps workflows. • Contribute to grant writing, proposal preparation, and project documentation. • Mentor junior researchers and contribute to training workshops or short courses.
 
Minimum Qualification
 
<ul>
<li>PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related field. • Demonstrated research experience in machine learning, NLP, or deep learning. • Strong publication record in recognized AI/ML/NLP venues. • Proficiency in Python and major ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). • Solid understanding of transformer architectures, embeddings, and attention mechanisms. • Experience with data preprocessing, model training, and evaluation for text and multimodal datasets.</li>
</ul>
Preferred Qualification
 
<ul>
<li>Prior experience in LLM deployment on-premise or in secure, private environments. • Experience with multilingual NLP, especially Arabic-English or low-resource language modeling. • Proven track record of open-source contributions, patents, or applied AI projects. • Background in knowledge graphs, semantic search, or hybrid symbolic-neural AI. • Experience with cloud or HPC systems for large-scale model training (e.g., NVIDIA DGX, multi-GPU clusters). • Exposure to prompt engineering, RLHF (Reinforcement Learning from Human Feedback), or evaluation of generative AI systems.</li>
</ul>
Close Date Kindly apply before the closing date.
 
31/12/2025

Postdoctoral Fellow

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