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🔥 Senior Software Dev Engineer

Posted about 1 hour ago

📍 United States of America

💸 111000.0 - 231250.0 USD per year

🔍 Software Development

🏢 Company: careers

🔧 Requirements

MS in Computer Science or related field with strong understanding of the fundamentals including Data Structures, Algorithms
Experience in algorithm design and ML/AI
4+ years of experience working with languages such as Java or Python
Familiarity with data mining, text processing and classification algorithms
Demonstrated problem solving skills and taking initiatives
Great communication skills, joy in helping people, ability to remain friendly and constructive under stress
2+ experience working with Applied ML

💡 Responsibilities

Research and develop innovative algorithms for information retrieval, processing and ranking.
Build, enhance, optimize and deploy tools, workflows, systems to process Yahoo mail data for extraction relevant information.
Be responsible for improving information extraction using machine learning and natural language processing techniques.
Participate in agile development to add incremental value to the business.
Collaborate with Research scientists to build M/L models for classification, extraction and recommendations in automated fashion.

Python SQL Agile Apache Hadoop Apache Hbase Data Mining ElasticSearch Image Processing Java Machine Learning MLFlow NLTK Numpy PyTorch SCRUM Algorithms API testing Data engineering Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills RESTful APIs Excellent communication skills JSON Data modeling

Posted about 1 hour ago

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🔥 Machine Learning Engineer

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Business Intelligence

🏢 Company: TigerEye👥 11-50💰 $30,000,000 Series A over 2 years agoSaaS Sales Enterprise Software Software

🔧 Requirements

A Graduate degree in Statistics, Applied Mathematics, or a related field/equivalent experience
Substantial experience with statistics and data modeling
Knowledge of statistical techniques to build predictive models
Knowledge of time series analysis
Solid understanding of computer science, coding principles and algorithms
Proficiency in programming languages such as Go, Dart, and Python

💡 Responsibilities

Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ go-to-market teams
Own training, integration, deployment, versioning, and monitoring of ML components
Improve TigerEye’s existing metrics collection and analysis techniques in order to expand the range of questions TigerEye is able to explore
Build a customizable heuristic system to surface actionable insights
Provide quantitative rationale to inform group decision-making processes
Design and build our ML infrastructure, including integration with customer data
Develop AI agents (both standalone agents, as well as within the context of multi-agent architecture) from start to finish. This includes from product ideation, to agent/LLM orchestration to qualitative and quantitative evaluation

AWS Python SQL Cloud Computing Data Analysis ETL Machine Learning Numpy Algorithms Data engineering Go Pandas Tensorflow Data modeling

Posted about 5 hours ago

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🔥 Research Engineer (L4) - Globalization - Live

Posted about 6 hours ago

📍 United States of America

💸 170000.0 - 720000.0 USD per year

🔍 Entertainment

🏢 Company: Netflix👥 10000-100000

🔧 Requirements

Proven track record of conducting cutting-edge research in Multilingual Live Caption and Translation models, demonstrated by publications in top-tier conferences or journals
MS or PhD in ML, Computer Science or related fields
Familiarity with common ML and DL frameworks such as PyTorch or Tensorflow
Exceptional communication and collaboration skills
Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

💡 Responsibilities

Research, develop and productize cutting-edge Multilingual Live Caption and Translation models
Partner closely with other ML engineers and scientists to integrate work into business applications
Act as domain expert and thought leader in identifying new research opportunities with significant business impact
Present your research to all levels of the company clearly and concisely

Data Analysis Machine Learning PyTorch Algorithms Data science Tensorflow Research

Posted about 6 hours ago

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🔥 Senior Software Engineer, AI

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 147000.0 - 184000.0 USD per year

🔍 Cybersecurity

🏢 Company: HackerOne

🔧 Requirements

8+ years of experience as a software engineer
Experience building production-grade AI platforms and infrastructure that support multiple AI product teams and applications
Strong hands-on experience with large language models (LLMs), generative AI, and machine learning frameworks (TensorFlow, PyTorch, Transformers) in production environments
Expertise in AI platform engineering including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture
Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices

💡 Responsibilities

Build and evolve our autonomous AI security agent “Hai” with capabilities to plan, reason, and take secure actions including vulnerability detection, threat intelligence generation and automated security analysis
Build and enhance our AI security agent "Hai" to provide instant security insights, natural language query processing, and actionable recommendations for security teams
Develop AI red teaming agents and frameworks that help identify vulnerabilities in large language models, generative AI systems, and applied AI deployments
Collaborate with product teams to integrate AI capabilities that enhance vulnerability discovery, validation, and remediation
Create APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne ecosystem
Partner with cross-functional teams including Product, Security Research, and Customer Success to translate AI innovations into customer-facing security solutions
Integrate emerging agentic frameworks and LLM-based orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, OpenAgents) to power stateful AI agents with access to security tools, APIs, and third-party systems
Stay current with emerging AI security threats, research cutting-edge AI safety techniques, and contribute to the development of industry-leading AI security standards

AWS Docker GraphQL Python Software Development SQL Artificial Intelligence Cloud Computing Frontend Development GCP Git Kubernetes Machine Learning Numpy PyTorch Ruby on Rails Algorithms API testing Azure Data Structures React Tensorflow CI/CD RESTful APIs

Posted about 7 hours ago

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🔥 Graduate (3-month) Intern - Explainable AI for Knowledge Discovery

Posted about 19 hours ago

📍 United States of America

🧭 Internship

💸 43700.0 - 69900.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Current enrollment or recent graduation from a program in computer science, data science, computer engineering, or related fields
Demonstrated experience developing and implementing deep learning models
Demonstrated experience in using XAI methods
Strong experience in machine learning libraries such as PyTorch and/or TensorFlow
Experience with high performance computing (HPC)

💡 Responsibilities

Collaborate with NREL domain scientists and use multi-modal materials degradation data to design performant machine learning models
Apply state-of-the art XAI techniques on the developed black-box machine learning models to illuminate the connections between input variables and predicted outcomes
Analyze XAI techniques’ output to uncover new scientific knowledge
Author, present, and assist in the preparation of technical papers, reports and conference proceedings on topics related to AI and XAI in material degradation in new energy technologies

Python Image Processing Machine Learning Numpy PyTorch C++Algorithms Data science Tensorflow Data visualization

Posted about 19 hours ago

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🔥 Machine Learning DevRel Engineer

Posted about 22 hours ago

📍 North America

💸 190000.0 - 230000.0 USD per year

🔍 Machine Learning

🏢 Company: Voxel51👥 11-50💰 $30,000,000 Series B about 1 year agoArtificial Intelligence (AI)Computer Vision Machine Learning Analytics Software

🔧 Requirements

2+ years of professional ML experience with an emphasis on computer vision uses cases
MS or PhD in computer science with an emphasis on computer vision
Proficiency with Python
Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
Great writing ability and proficiency with a screening recording/editing suite
Experience maintaining an MkDocs Material-based Docs site, including upgrades and enhancements
Links to conferences or events you have spoken at
Links to open source communities where you are an active participant
Links to GitHub repos where your code is visible
Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)

💡 Responsibilities

Provide technical answers to open source users on Discord, Stackoverflow and Reddit
Author original blogs, tutorials and documentation
Self-produce short videos for use on social media and long format videos exploring technical topics
Create and deliver original courses, both online and in-person
Code up integrations that combine FiftyOne with complementary technologies, models and datasets
Work with marketing to ensure Docs are SEO-optimized
Create documentation (includes features, getting started guides, tutorials and glossaries)
Repurpose documentation into additional formats like Notebooks, blogs, technical articles and videos

Python Git Image Processing Machine Learning Numpy PyTorch Tensorflow RESTful APIs Linux Documentation Data visualization

Posted about 22 hours ago

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🔥 Azure Machine Learning Engineer

Posted about 22 hours ago

📍 Argentina

🧭 Full-Time

🏢 Company: Netrix Global👥 501-1000 Internet Information Technology Telecommunications

🔧 Requirements

Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.
Experience working in cloud environments (Azure) for at least 2 years.
Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
Advanced English level.
Experience using Azure AI Foundry, Azure ML studio and other Azure data services: Fabric, Synapse, purview.
Experience with Generative AI models and deploying them in production.
Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).
Ability to work in Agile teams under Scrum methodology.

💡 Responsibilities

Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.
Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.
Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.
Prepare and structure data for advanced AI and GenAI solutions.
Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.
Document and rigorously test models and workflows to meet accuracy and performance requirements.
Monitor and enhance the performance of Machine Learning models and services in production.
Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads. (Desired)

Python SQL Agile Cloud Computing Git Machine Learning PyTorch SCRUM Azure Data science Tensorflow DevOps Terraform Data modeling Data management English communication

Posted about 22 hours ago

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🔥 Principal Machine Learning Engineer

Posted 1 day ago

📍 United States of America

💸 142500.0 - 264700.0 USD per year

🔍 Medical Devices

🏢 Company: roche-ext

🔧 Requirements

8+ years of experience algorithm (implementing and modifying) experience
8+ years of experience with Python
Experience with C++
Experience with Cloud Computing / AWS
Experience with Docker/Kubernetes
Knowledge of modern software tools and development practices, including agile development and continuous integration / continuous deployment

💡 Responsibilities

Contribute to technology roadmap for algorithm development frameworks and related technology
Work with the Algorithm development team
Provide technical leadership on DP algorithm deployment and integration
Mentoring of software developers and other team members
Translating Research code and PoC (Proof of Concepts) into Products

AWS Backend Development Docker Python Software Development Agile Cloud Computing Image Processing Keras Kubernetes Machine Learning MLFlow Numpy OpenCV PyTorch C++Algorithms Data Structures Pandas Spark Tensorflow CI/CD RESTful APIs Mentoring Data analytics

Posted 1 day ago

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🔥 Applied AI Engineer (Image/Video Diffusion)

Posted 1 day ago

📍 North America, Western EU

🧭 Full-Time

🔍 AI

🏢 Company: Intangible👥 11-50💰 $4,000,000 Seed 3 months agoDigital Marketing SaaS Marketing Software

🔧 Requirements

Proven expertise in software development with a focus on AI/ML applications.
Deep understanding of visual generative AI principles, including diffusion models, GANs, and VAEs.
Strong experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and visual AI libraries (e.g., Hugging Face Diffusers, OpenCV).
Proficiency in optimizing models for fast inference (e.g., quantization, pruning, knowledge distillation).
Experience with visual data processing and storage, including vector databases for embeddings (e.g., Pinecone, Weaviate).
Proficient in Python and related ML/visual processing libraries (e.g., PIL, NumPy, Blender Python API).
Ability to ship end-to-end AI features in production environments.

💡 Responsibilities

Develop and optimize visual generative AI models (e.g. Stable Diffusion, Flux) for fast inference and high-quality outputs.
Design inference pipelines to deliver real-time or near-real-time visual content generation in production environments.
Fine-tune foundation models or adapt pre-trained visual models for domain-specific creative tasks (e.g. 3D asset generation, style transfer).
Prototype and integrate AI-driven visual features in collaboration with product and engineering teams.
Analyze and improve model performance, balancing latency, quality, and computational efficiency.
Build and maintain data pipelines for processing and augmenting visual datasets (e.g. images, 3D models, textures).
Collaborate with artists and designers to ensure AI outputs meet creative and aesthetic standards.
Innovate out-of-the-box creative solutions by leveraging existing generative technologies (e.g. pre-trained models, open-source frameworks) to achieve exceptional visual results tailored to user needs.

AWS Docker Python Software Development Artificial Intelligence Cloud Computing Frontend Development Game Development Git Image Processing Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Blender Data Structures Unreal engine Tensorflow CI/CD RESTful APIs Data visualization

Posted 1 day ago

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🔥 AI Research Scientist (Sequential Decision Making)

Posted 1 day ago

📍 USA, Canada, UK

🧭 Full-Time

💸 171169.0 - 200000.0 USD per year

🔍 Industrial Automation

🏢 Company: Phaidra👥 1-10💰 $25,000,000 Series A almost 3 years agoArtificial Intelligence (AI)Industrial Automation Machine Learning Information Technology

🔧 Requirements

PhD in a technical field or equivalent practical experience, with demonstrated expertise in one of the following areas: Planning Reinforcement Learning Optimization
1+ years of applied research experience.
Strong background in software engineering, with proficiency in Python and open-source ML libraries such as Keras, TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, and ray.
Prior experience with research projects and contributions to open-source software.

💡 Responsibilities

Collaborate with other AI researchers on applied real-world problems to demonstrate algorithmic feasibility and enhance algorithmic capabilities.
Design and implement prediction and decision algorithms to control complex non-linear dynamic systems.
Develop and maintain a benchmarking platform for algorithmic performance evaluation and experimental design.
Clearly and efficiently report and present research findings and developments, both internally and externally, verbally and in writing.
Participate in and organize ambitious collaborative research projects.
Work with external collaborators and maintain relationships with relevant research labs and key individuals.
Mentor and guide Research Engineers to apply research findings and developments to industrial domains.

Python Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Communication Skills Analytical Skills Research Software Engineering

Posted 1 day ago

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