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🔥 Machine Learning Engineer Internship, WebML - EMEA Remote

Posted about 3 hours ago

📍 France

🧭 Internship

🔍 Machine Learning

🏢 Company: Hugging Face👥 51-200💰 $235,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

Interest in open-source, passion for making complex technology accessible, and a desire to contribute to a fast-growing ML ecosystem.

💡 Responsibilities

Converting and optimizing models for in-browser inference (ONNX, quantization)
Enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM)
Building demo applications to showcase new features
Fostering a collaborative open-source community

Python Frontend Development Git Javascript Machine Learning Numpy OpenCV PyTorch React.js TypeScript Algorithms Data Structures REST API Tensorflow Web3.js CI/CD RESTful APIs NodeJS Software Engineering

Posted about 3 hours ago

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🔥 AI Engineer - India (Remote)

Posted 9 days ago

📍 India

🔍 Software Development

🔧 Requirements

Deeply involved in the GenAI space
Passionate about developer tools
Interest in connecting with the community
Excited to contribute to a fast-growing product

💡 Responsibilities

Develop open-source integrations
Build GenAI-powered tools
Engage with the AI developer community to drive adoption of Weave

Backend Development Python Software Development Artificial Intelligence Data Analysis Keras Machine Learning Numpy OpenCV PyTorch Algorithms Data science Data Structures Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving RESTful APIs

Posted 9 days ago

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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 21 days ago

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 280000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

🔧 Requirements

5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working with data pipelines and orchestration / tooling for the modern data stack.
Previous hands on engineering experience in Data Engineering and MLOps.
Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.

💡 Responsibilities

Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
Lead technical discovery during the sales lifecycle to deeply understand prospects’ ML and engineering requirements.
Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.

Docker Python SQL AWS EKS Keras Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Data engineering REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Customer service Attention to detail Presentation skills Active listening Data visualization Data modeling

Posted 21 days ago

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🔥 (Senior to Principal) Applied Scientist

Posted 21 days ago

📍 United States, Canada

🧭 Full-Time

💸 180000.0 - 250000.0 USD per year

🔍 Software Development

🔧 Requirements

3+ years of industry experience in building, training, and fine-tuning Machine Learning models, including defining, vetting, and iterating on metrics and running online controlled experiments (A/B testing, interleaving).
A track record of applied research in AI/ML, as demonstrated by leading research projects, conference presentations, in-depth blog posts, or first author publications.
Profound experience and understanding across advanced models, such as Transformers, LSTMs, GANs, CNNs, and diffusion models.
Extensive experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, Keras, OpenCV, Fairlearn, or MLflow and Python libraries like Pandas
Programming experience in Python and experience with Cloud providers such as AWS, GCP, and Azure
Builder Mindset - you’ve contributed to open source projects and/or have built your own model, tool, or product.
Excellent communication skills – you will interact with customers and/or assist with community-related events, so we’re extra mindful about verbal and written communication.

💡 Responsibilities

Explore new applications and techniques within language modeling and generative models for multiple modalities, improving synthetic tabular data generation algorithms, ethical/fair AI, and privacy enhancing technologies.
Actively collaborate with engineering, sales engineering/solutions architects, product, sales, and marketing as a part of the customer-feedback loop to better understand our end-users and use cases to design and build more effective and efficient solutions.
Research, design, and build end-to-end reusable, scalable solutions for our customers and users.
Partner with the sales engineering teams on building complex customer solutions; identify and escalate problems to engineering and support teams.
Plan, build, and facilitate industry-specific use cases, including content creation in the form of workshops, webinars, technical blogs, whitepapers and developer community engagement.
Stay abreast of developments in AI, actively sharing and trying out new approaches.
Mentor colleagues and promote a culture of knowledge sharing.

AWS Python Artificial Intelligence Cloud Computing Data Analysis Differential Equations GCP Git Image Processing Keras Machine Learning MLFlow Numpy OpenCV PyTorch Algorithms API testing Azure Data Structures REST API Pandas Tensorflow Communication Skills Analytical Skills Collaboration Attention to detail Excellent communication skills Research A/B testing

Posted 21 days ago

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🔥 Autonomous Vehicle Internship, Machine Learning

Posted about 1 month ago

📍 Singapore

🧭 Internship

🔍 Software Development

🏢 Company: Motional👥 1001-5000💰 Seed 12 months ago🫂 Last layoff 10 months agoAutomotive Fleet Management Information Technology Autonomous Vehicles Software

🔧 Requirements

Enrolled in a Masters or PhD program in Computer Science, Robotics, Applied Mathematics, Statistics, Physics or similar technical field of study
Demonstrated interest in research and development through academic projects or publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)
Relevant work experience, including internships, full time industry experience or as a researcher in either computer vision, content recommendation, non-linear optimization, reinforcement learning, deep learning or robotics
One-team mindset and effective collaboration with other researchers and engineers
Strong coding experience in Python and with PyTorch or other commonly-used deep learning frameworks
Strong communication and interpersonal skills

💡 Responsibilities

Work with the team behind nuScenes, PointPillars, Point Painting, MotionTrack End-to-End Tracking, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional ensuring the highest standards of quality, scientific rigor and innovation.
Research and develop innovative machine learning strategies for challenging problems that will affect the future of self driving cars.
Collaborate with broader teams across Motional gaining exposure to multiple engineering disciplines and several projects simultaneously throughout the development process.
Execute on the tasks assigned, meet deadlines and at the same time independently explore new innovative ideas

Python Image Processing Machine Learning Numpy OpenCV PyTorch Algorithms Data Structures

Posted about 1 month ago

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🔥 Senior Machine Learning Engineer, Edge AI

Posted about 1 month ago

📍 United States, Canada

🧭 Full-Time

💸 135482.0 - 227700.0 USD per year

🔍 Internet of Things (IoT), Machine Learning

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

BS or MS in Computer Science, Electrical Engineering, or a related field with a focus on ML or embedded systems.
5+ years of experience in embedded machine learning or a similar role.
4+ years of experience in deploying machine learning models in embedded systems.
Proficiency in embedded systems programming, including low-level optimization for inference workloads.
Strong coding skills in C++, Golang, or Python, with experience optimizing ML models for deployment on edge hardware.
Hands-on experience with ML frameworks like PyTorch, TensorFlow, ONNX, and optimization techniques for edge AI (e.g., quantization, pruning, sparsification).
Experience in computer vision and media processing on edge/mobile devices, including real-time object detection, tracking, and scene analysis.
Proven ability to troubleshoot and debug edge AI systems, including profiling inference performance, reducing latency, and optimizing power efficiency.

💡 Responsibilities

Develop and deploy AI models on edge devices by working with petabyte-scale data from Samsara’s camera and sensor devices.
Optimize ML models for real-time inference on edge devices by implementing quantization, sparsification, pruning, and model distillation techniques.
Collaborate with firmware and hardware teams to integrate ML models into resource-constrained environments, ensuring efficient execution.
Improve edge AI performance by profiling and optimizing latency, memory usage, and energy efficiency across different hardware architectures (CPU, GPU, DSP, NPU).
Stay up to date with the latest research in computer vision, deep learning, and embedded AI, applying relevant advancements to Samsara’s products.
Work closely with Product Managers to translate customer requirements into scalable and efficient ML solutions for real-time video analytics and sensor processing.
Debug and troubleshoot edge AI deployments, addressing performance bottlenecks, thermal constraints, and reliability issues in production environments.
Champion Samsara’s cultural principles, fostering a collaborative and growth-oriented team environment.

Python Embedded Systems Machine Learning OpenCV PyTorch C++Tensorflow

Posted about 1 month ago

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🔥 Sr. Machine Learning Engineer

Posted about 1 month ago

📍 UK

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Veritone👥 501-1000💰 $3,900,000 Grant almost 2 years agoGovTech Artificial Intelligence (AI)Search Engine Machine Learning CivicTech Asset Management Information Technology Speech Recognition Visual Search

🔧 Requirements

PhD degree or equivalent experience in Computer Vision and Machine Learning.
Extensive knowledge and experience in deep learning algorithms, including multimodal foundation models.
6 years of experience in developing, optimizing, and testing deep learning computer vision models.
Proficiency in Python frameworks such as Tensorflow and Pytorch, and libraries like OpenCV.
Familiarity with ONNX, TensorRT, and comfortable working in a Linux environment.

💡 Responsibilities

Work within a multi-disciplinary software development team and independently.
Drive the definition, development, and evolution of Veritone’s Track for images and video analysis.
Develop novel deep learning models and algorithms for object detection, tracking, and recognition.

Docker Bash ElasticSearch Machine Learning OpenCV PyTorch Algorithms Tensorflow Linux

Posted about 1 month ago

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🔥 Senior AI Solutions Engineer, Pre Sales - EMEA (Remote)

Posted about 1 month ago

📍 EMEA

🔍 AI Solutions

🔧 Requirements

Seasoned ML/AI expert
Excels in customer engagement
Thrives on solving real-world AI challenges

💡 Responsibilities

Lead technical evaluations
Deliver high-impact demonstrations
Drive successful proof-of-values by aligning Weights & Biases with customer needs
Act as a trusted advisor, engaging with both technical teams and executives
Translate AI/ML capabilities into real business value
Guide prospects through the decision-making process
Collaborate closely with Sales, Support, Product, and Engineering
Serve as the primary technical point of contact during pre-sales engagements
Influence AI adoption strategies
Provide critical insights that shape our product roadmap
Play a key role in closing high-value enterprise deals

Docker Python Artificial Intelligence Cloud Computing Kubernetes Machine Learning MLFlow OpenCV PyTorch Data science REST API Tensorflow

Posted about 1 month ago

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🔥 Computer Vision Solution Engineer

Posted about 1 month ago

📍 Washington, Texas, Virginia

🔍 Computer Vision, SaaS

🏢 Company: Rendered.ai👥 11-50💰 $6,000,000 Seed over 3 years agoDeveloper Tools Artificial Intelligence (AI)SaaS PaaS Machine Learning Software

🔧 Requirements

Master’s degree in Computer Vision, Computer Science, Engineering, or a related field.
Bachelor’s degree in a relevant field with equivalent experience will also be considered.
6 - 10 years of strong experience in training computer vision models, specifically in object detection, classification, and segmentation.
Practical experience with deep learning frameworks such as TensorFlow and PyTorch.
Proficient in working with AWS and exposure to GCP or Azure.
Familiarity with SaaS/PaaS models and deployment techniques.
Solid understanding of image processing and computer vision algorithms.
Proficiency in Python and relevant libraries like OpenCV.
Experience with containerization technologies like Docker and Kubernetes is a plus.
Excellent problem-solving skills to troubleshoot complex issues.

💡 Responsibilities

Support customers through the full adoption lifecycle: pre-sales, solution engineering, and implementation.
Communicate technical concepts to non-technical stakeholders.
Design, develop, and deploy computer vision models focusing on object detection, classification, and segmentation.
Optimize and fine-tune models for high performance in real-world environments.
Collaborate with cross-functional teams to solve complex vision-related problems.
Utilize AWS and other cloud platforms for model deployment and scaling.
Participate in PaaS/SaaS implementations for deployment and monitoring.
Provide technical expertise during pre-sales discussions and product demos.
Document model architectures and results for clear communication across teams.
Stay current with advancements in computer vision and AI.

AWS Docker Python Image Processing Kubernetes Machine Learning OpenCV PyTorch Tensorflow

Posted about 1 month ago

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🔥 Solution Architect, AI/ML Engineering Consultant

Posted about 1 month ago

📍 United States, India

🧭 Contract, Part-Time, Full-Time

🔍 Life sciences

🏢 Company: ValGenesis👥 501-1000💰 $24,000,000 Private almost 4 years agoPharmaceutical Medical Device Software

🔧 Requirements

Bachelor’s or Master’s in Computer Science, Data Science, or related field.
8+ years in AI/ML solution development.
Proven software development experience in life sciences or regulated industries.
Strong analytical thinking and problem-solving skills.
Excellent communication and collaboration abilities.
Knowledge of life sciences validation processes and regulatory compliance.

💡 Responsibilities

Build scalable AI/ML models for document classification, intelligent search, and predictive analytics.
Implement image processing solutions for visual inspections and anomaly detection.
Define AI architecture and select technologies from open-source and commercial offerings.
Deploy AI/ML solutions in cloud-based environments with a focus on high availability and security.
Mentor a team of AI/ML engineers, fostering collaborative research and development.

AWS Docker PostgreSQL Python SQL Apache Hadoop Artificial Intelligence Cloud Computing Git Image Processing Jenkins Kubernetes Machine Learning MongoDB Numpy OpenCV PyTorch Tableau Azure Pandas Spark Tensorflow CI/CD Compliance Data visualization

Posted about 1 month ago

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