deep learning engineer

Apple

Do you have a passion for deep learning and computer vision problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! 
 
Join our team of committed deep learning engineers in the Video Computer Vision group! We are a centralized applied research and engineering organization responsible for developing real-time on-device Computer Vision, Machine Perception, and Generative technologies across Apple products. Our shipped technologies power features in ARKit, MeasureApp, RoomScan, Accessibility, and multiple VisionPro features. 
 
As a member of the Video Computer Vision group you will develop new technologies in the area of scene understanding and for Apple&rsquo;s next generation products. 
 
Description 
 
We are looking for a skilled Deep Learning Engineer for our team. In this role, you will perform research and development work to design algorithms for challenging real world problems in the domain of scene understanding.&quot;,&quot;responsibilities&quot;:&quot;Data curation for improving performance on perception tasks (training and evaluation sets). 
 
Research, design, train, and evaluate machine learning/deep learning algorithms to address product goals. 
 
Benchmark and analyze machine learning/deep learning algorithms to understand limitations. 
 
Optimize algorithms for real time and low power constraints. 
 
Support algorithm integration into Apple products and ensure quality user experience. 
 
Collaborate with teams across Apple with multidisciplinary skills. 
 
Preferred Qualifications 
 
PhD degree with focus on machine learning, computer vision, robotics or MS with a comparable industry career of 3+ years. 
 
Consistent track record of researching, inventing and/or shipping advanced machine learning algorithms. 
 
Experience in language-guided image understanding tasks e.g. open-vocabulary image classification, language-guided visual grounding, open-vocabulary semantic segmentation, etc. 
 
Experience with designing and training with pipelines which consume large (billion scale) data for training efficient vision language models for edge-devices. This includes data curation for training vision language models, writing efficient data loading pipelines, utilizing distributed GPU training framework. 
 
Experience with advanced task-specific quality optimization techniques (few-shot learning, meta-learning, domain adaptation, knowledge-distillation, fine-grained learning) for improving network performance and handling specific failure cases (long-tailed distributions/under-represented classes) for downstream tasks. 
 
Experience in designing and optimizing network towards inference efficiency. 
 
Strong coding skills in ObjectiveC. 
 
Excellent communication and collaboration skills. 
 
Minimum Qualifications 
 
BS in Computer Science or related field with a minimum of 3 years of relevant industry experience. 
 
Experience in designing and training deep learning networks for image understanding tasks, e.g. image classification, object detection, semantic segmentation, panoptic segmentation, etc. 
 
Experience in developing downstream perception algorithms with vision-language models, e.g. CLIP 
 
Solid mathematical foundation of machine learning and deep learning techniques. 
 
Strong coding skills in python (with pytorch) and C/C++. Solid mathematical foundation of machine learning and deep learning techniques. 
 
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 . 
 
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 $147,400 and $272,100, 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'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's Employee Stock Purchase Plan. You'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.

Deep Learning Engineer - Perception Algorithms

At Apple, individual creativity converges around shared values that drive innovation. Our products emerge from collaborative teams strengthening each other's ideas, fueled by diverse perspectives and a belief we can transform lives. Our CVML team solves complex challenges at the intersection of perception, intelligence, and real-time processing. We seek an experienced engineer with demonstrated expertise in applying deep learning to non-vision signals such as audio, motion, and sensor data to shape next-generation products impacting millions daily. 
 
Ready to make an impact? 
 
Description 
 
We seek a Machine Learning Engineer to join our team in designing and implementing advanced algorithms for multimodal sensor fusion. The ideal candidate brings proven expertise in translating cutting-edge research into production-ready solutions that delight users at scale. 
 
In this role, you will collaborate closely with hardware, software and user-experience teams to develop world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of multimodal deep learning models optimized for edge deployment, leveraging sensor fusion techniques to enable intelligent, real-time perception in resource-constrained environments. 
 
Your work will span the full spectrum from evaluating breakthrough research to solving complex real-world problems, architecting model efficiency strategies for on-device inference, and ensuring algorithms perform flawlessly in production at scale. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing, while establishing best practices and technical direction for your team.&quot;,&quot;responsibilities&quot;:&quot;Leading the development of cutting-edge multimodal fusion algorithms and taking ideas from concept t shipping 
 
Driving cross-functional collaboration to understand algorithmic constraints, dependencies, and technical trade-offs 
 
Partnering with engineers and designers to architect proof-of-concepts and prototype novel hardware for innovative applications 
 
Leading technical discussions and preparing presentations, papers, and talks to communicate your inventions and establish thought leadership 
 
Establishing coding standards, best practices, and technical strategies for your team 
 
Preferred Qualifications 
 
Ph.D. or M.S., with 3+ years of industry experience in deep learning or related fields. 
 
Excellent math skills, including linear algebra, computational science and optimization 
 
Creativity and curiosity for solving highly complex problems 
 
Excellent communication and collaboration skills 
 
Hands-on experience of working with sensors and hardware 
 
An interest in incubating ideas and taking them to finish 
 
Experience shipping algorithms or publishing in top tier AIML conferences 
 
Minimum Qualifications 
 
B.S and 3 years of experience in software engineering, deep learning, sensor fusion, or related fields. 
 
Experience in deep learning frameworks such as PyTorch 
 
Proficiency in Python development, using best coding practices 
 
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 . 
 
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 $147,400 and $272,100, 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'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's Employee Stock Purchase Plan. You'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.

Machine Learning Engineer: Multimodal Sensor Fusion

Guretruck for solutions

We're Hiring! AI Engineer&ndash; Onsite in New CairoJoin GURETRUCK, a Spanish tech company revolutionizing logistics with smart platforms. We're growing our Cairo team and looking for a talented AI Engineer to join us!What You&rsquo;ll DoDesigning and training ML models for real-world datasetsBuilding deep learning solutions and improving model performanceDeploying models into production environmentsWhat We&rsquo;re Looking For2+ years of experience in machine learningPython skills with experience in NumPy, Pandas, and Scikit-learnFamiliarity with Git and team-based development workflowsStrong foundation in deep learning frameworks such as PyTorch or TensorFlow / KerasUnderstanding of model evaluation, feature engineering, and hyper parameter tuningExperience building, training, and deploying ML modelsFluent in English (Spanish is a plus)Nice to haveBasic knowledge of LLMs and prompt writingExperience fine-tuning modelsUnderstanding of Reinforcement LearningFamiliarity with embeddings or vector databasesWhat We OfferCompetitive salary in EGP + bonusPrivate medical insuranceReal impact on real-world logisticsFast-paced, tech-driven environmentApply Now!Send your CV to s.elhoussiny@guretruck.comSubject: AI Engineer - New Cairo - [Your Name]Job Type: Full-time

AI Engineer– Onsite in New Cairo

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

Edurech Technoogy

Job Title: AI / Machine Learning EngineerAt Edurech Technology, we are redefining education through intelligent, data-driven learning platforms. By leveraging artificial intelligence and machine learning, we build personalized, adaptive, and scalable solutions that enhance learning outcomes for students and educators worldwide. We are looking for a skilled AI / Machine Learning Engineer to help design, build, and deploy intelligent systems that power the future of education.Job SummaryWe are seeking a motivated AI / Machine Learning Engineer with 2&ndash;6 years of experience to join our on-site team in Tempe. The ideal candidate has strong experience in machine learning, deep learning, and model deployment, along with a passion for solving real-world problems using AI. You will work closely with data scientists, software engineers, and product teams to develop and productionize AI-driven features across our platforms.Key ResponsibilitiesModel Development<ul><li>Design, build, train, and optimize machine learning and deep learning models for educational use cases such as personalization, recommendation systems, content classification, and student performance prediction.</li></ul>Data Processing<ul><li>Clean, preprocess, and analyze structured and unstructured datasets.</li><li>Perform feature engineering to improve model performance.</li></ul>Deployment &amp; MLOps<ul><li>Deploy machine learning models into production environments.</li><li>Monitor model performance, data drift, and accuracy, and retrain models as needed.</li></ul>AI Research &amp; Innovation<ul><li>Stay current with the latest AI/ML research and technologies.</li><li>Experiment with new algorithms, architectures, and tools to improve system performance.</li></ul>Collaboration<ul><li>Work with cross-functional teams including product, backend, and data teams to integrate AI solutions into applications.</li><li>Translate business and product requirements into scalable AI solutions.</li></ul>Documentation &amp; Improvement<ul><li>Document model architectures, experiments, and deployment processes.</li><li>Continuously improve AI pipelines, workflows, and system reliability.</li></ul>Required Qualifications &amp; SkillsExperience<ul><li>2&ndash;6 years of professional experience in AI, machine learning, or related roles.</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related quantitative field.</li></ul>Programming<ul><li>Strong proficiency in Python.</li><li>Experience with ML/DL frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.</li></ul>Machine Learning Knowledge<ul><li>Solid understanding of supervised and unsupervised learning, deep learning, and evaluation metrics.</li><li>Experience with NLP, computer vision, or recommendation systems is a plus.</li></ul>Data &amp; Tools<ul><li>Experience working with SQL and large datasets.</li><li>Familiarity with data processing libraries such as Pandas, NumPy, and Spark.</li></ul>Communication<ul><li>Strong verbal and written communication skills with the ability to explain AI concepts to non-technical stakeholders.</li></ul>Preferred Qualifications<ul><li>Master&rsquo;s or Ph.D. in AI, Machine Learning, or a related field.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based ML services.</li><li>Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).</li><li>Experience with model versioning, CI/CD, and containerization (Docker, Kubernetes).</li><li>Prior experience in EdTech, SaaS, or large-scale AI systems.</li><li>Proven experience taking AI/ML models from research to production.</li></ul>Job TypeFull-timeBenefits<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Relocation assistance</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>Work LocationIn personJob Type: Full-timePay: $101,358.61 - $122,066.28 per yearWork Location: In person

AI/ML Engineer

PaxeraHealth

<div>The AI Engineer is responsible for understanding the medical imaging business problems, identifying/applying the right AI or cognitive computing technologies. In addition to being involved in the formulation and execution of technology solutions.
RESPONSIBILITIES:<ul><li>
Develops required machine learning models or prototype applications, applying formulated AI recipes and verifying the problem/solution fit.</li><li>
Understands the challenges in medical imaging and using state of the art solutions in AI and DL.</li><li>
Participates in building new experiences, improves existing products, ensures quality assurance test designs and contributes to test systems architecture discussions.</li><li>
Works alongside leading innovators in the field of deep learning and health care, plays a critical role in algorithm development.</li><li>
Analyzes and evaluates data and builds deep networks to detect or predict features, while effectively balancing quality, availability, timeliness and cost factors.</li></ul><h2 class="jobSectionHeader">
Job Requirements</h2><ul><li>
3-6 years of AI/ML experience with a degree in a quantitative fields like Computer Science, data science, Engineering or related field required, with a significant focus on deep learning.</li><li>
BA/BS degree in computer science or related discipline is required, MS degree is preferred.</li><li>
Good command of the English language required (spoken and written).</li></ul>
REQUIRED SKILLS<ul><li>
Strong background in machine learning and parallel processing pipelines, with significant experience in image processing.</li><li>
Experience in working with large datasets and relational databases (SQL)</li><li>
Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus.</li><li>
An intuitive sense of how to architect high-performance distributed computing systems for machine learning &amp; tie them to business problems.</li></ul>
oXaQH5qwPT</div>

Senior AI Engineer

ShrinQ Consulting Group Inc

<div>
 
 
 Role Overview
 
 
 
 We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models that support data-driven decision-making and intelligent applications. The role involves working with data scientists, engineers, and product teams to build scalable machine learning pipelines and integrate models into production systems.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, train, and optimize machine learning models for real-world applications
 </li>
 <li>
 Build and maintain data pipelines for model training and evaluation
 </li>
 <li>
 Deploy machine learning models into production environments
 </li>
 <li>
 Work with large datasets to extract insights and improve model performance
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate ML solutions into products
 </li>
 <li>
 Monitor model performance and retrain models as needed
 </li>
 <li>
 Implement best practices for model versioning, testing, and deployment
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field
 </li>
 <li>
 Strong programming skills in Python or similar languages
 </li>
 <li>
 Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Understanding of statistics, data structures, and algorithms
 </li>
 <li>
 Experience with data preprocessing and feature engineering
 </li>
 <li>
 Knowledge of SQL and working with large datasets
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Familiarity with MLOps tools and model deployment pipelines
 </li>
 <li>
 Knowledge of big data technologies like Spark or Hadoop
 </li>
 <li>
 Experience with deep learning and natural language processing (NLP)
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

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