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πŸ“ United States of America

πŸ’Έ 111000.0 - 231250.0 USD per year

πŸ” Software Development

🏒 Company: careers

  • 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
  • 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.

PythonSQLAgileApache HadoopApache HbaseData MiningElasticSearchImage ProcessingJavaMachine LearningMLFlowNLTKNumpyPyTorchSCRUMAlgorithmsAPI testingData engineeringData scienceData StructuresREST APIPandasSparkTensorflowCommunication SkillsRESTful APIsExcellent communication skillsJSONData modeling

Posted about 1 hour ago
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πŸ“ United States of America

πŸ’Έ 170000.0 - 720000.0 USD per year

πŸ” Entertainment

🏒 Company: NetflixπŸ‘₯ 10000-100000

  • 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
  • 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 AnalysisMachine LearningPyTorchAlgorithmsData scienceTensorflowResearch

Posted about 6 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 150000.0 - 200000.0 USD per year

πŸ” Software Development

  • 6+ years of experience as a machine learning engineer. Relevant PhD can count for up to 2 YOE
  • Experience developing machine learning models at scale from inception to business impact
  • Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
  • Strong engineering skills in Python and data manipulation skills like SQL
  • Experience using large scale distributed systems like Spark or Ray
  • Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, PyTorch, Kubeflow
  • Experience with Kubernetes, Docker, and Airflow is a plus
  • Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
  • Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
  • Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
  • Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
  • Implement and scale data pipelines, new features, and algorithms that are essential to our production models
  • Collaborate with the engineering, credit, and product teams to define requirements for new products

DockerPythonSQLData AnalysisKubernetesMachine LearningNumpyPyTorchAirflowAlgorithmsPandasSpark

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 147000.0 - 184000.0 USD per year

πŸ” Cybersecurity

🏒 Company: HackerOne

  • 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
  • Build and evolve our autonomous AI security agent β€œHai” 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

AWSDockerGraphQLPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingFrontend DevelopmentGCPGitKubernetesMachine LearningNumpyPyTorchRuby on RailsAlgorithmsAPI testingAzureData StructuresReactTensorflowCI/CDRESTful APIs

Posted about 7 hours ago
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πŸ“ UK, Europe, Africa

πŸ” Software Development

  • Advanced expertise in machine learning, mathematics, statistics, and theoretical computer science.
  • Experience or academic publication in generative modelling (e.g., VAEs, GANs, diffusion models, or related methods)
  • Strong publication record in prestigious conferences (NeurIPS, ICML, ICLR)
  • Proven ability to translate academic research into practical, impactful algorithms
  • Experience with deep learning, reinforcement learning, or other specialized machine learning domains
  • Exceptional analytical, critical thinking, and problem-solving abilities
  • Conduct applied machine learning research and develop innovative algorithms to solve complex, real-world problems.
  • Prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions.
  • Actively engage with academic institutions to accelerate innovation and maintain M-KOPA's competitive advantage.

PythonData AnalysisKerasMachine LearningNumpyPyTorchAlgorithmsData scienceAnalytical SkillsRESTful APIsProblem-solving skillsData visualizationComputer skillsData modeling

Posted about 8 hours ago
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πŸ“ United States of America

🧭 Internship

πŸ’Έ 43700.0 - 69900.0 USD per year

πŸ” Software Development

🏒 Company: NREL

  • 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)
  • 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

PythonImage ProcessingMachine LearningNumpyPyTorchC++AlgorithmsData scienceTensorflowData visualization

Posted about 19 hours ago
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πŸ”₯ Senior Imaging Scientist
Posted about 22 hours ago

πŸ“ United States of America

πŸ’Έ 140900.0 - 261700.0 USD per year

🏒 Company: roche-ext

  • Master’s Degree in computer science, Biomedical Engineering or related field. PhD preferred.
  • Minimum 2 years of industry R&D experience with software development for image or data analysis algorithms.
  • Proven track record of technical leadership to deliver innovative analysis and software solutions.
  • Proven track record of publications and intellectual property generation from own work.
  • Experienced in design and development projects for medical devices in the field of biomedical image data analysis.
  • Excellent written and verbal communication skills; ability to review and evaluate writing of others in a multidisciplinary environment.
  • Ability to build and grow teams that solve complex problems using creative ideas, state-of-the-art knowledge, and best engineering practice.
  • Experience with commonly used Deep Learning models and frameworks (e.g., Pytorch)
  • Expert knowledge and deep understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.
  • Strong understanding of software architecture for scalable high-performance systems; expert in prototyping and commercial product development languages.
  • Strong understanding of biomedical image data, especially pathology images.
  • Ability to contribute to R&D work following best practices in a regulated industry.
  • Designs and implements innovative algorithms to analyze histopathology images and data as individual contributor or technical lead of a project team.
  • Designs and implements analysis algorithms and software platforms for prototyping and commercial product development.
  • Optimizes algorithms and platforms for efficiency, accuracy, performance, and scalability.
  • Collaborates with and leads other members of a project team to meet defined scientific and technical goals.
  • Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).
  • Organizes and tracks requirements, deliveries, and project time lines.
  • Keeps up-to-date with technology advances, the competitive landscape, and job training requirements in the medical device industry.
  • Provides leadership in selecting new research directions and coordination in execution of the team’s technical goals.
  • Generates Intellectual Property for technology and applications.
  • Presents results and project proposals to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.
  • Provides technical direction, mentorship, guidance and feedback to others.
  • Other duties as may be assigned by management in the pursuit of the operational goals of the team

PythonSoftware DevelopmentData MiningImage ProcessingJavaMachine LearningPyTorchSoftware ArchitectureC++Algorithms

Posted about 22 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: ReplicantπŸ‘₯ 101-250πŸ’° $78,000,000 Series B about 3 years agoArtificial Intelligence (AI)Information ServicesData Center AutomationMachine LearningInformation TechnologySoftware

  • 5+ years of software development experience in ML infra, ML tooling, or products with ML usage
  • Preferred if experienced with the ML ecosystem (e.g. python, pytorch, faiss, elastic search)
  • Excellent communication skills and a vivid imagination
  • Passion about engineering and team culture
  • You love tackling ambiguous technical problems and developing solutions to problems with significant impact
  • You are an independent thinker and like to own and solve complex problems
  • You are interested in exploring the nuance and aesthetic of conversations
  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields
  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences
  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth
  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment
  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

PythonSoftware DevelopmentData AnalysisElasticSearchMachine LearningNumpyPyTorchAlgorithmsCommunication Skills

Posted about 22 hours ago
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πŸ“ North America

πŸ’Έ 190000.0 - 230000.0 USD per year

πŸ” Machine Learning

🏒 Company: Voxel51πŸ‘₯ 11-50πŸ’° $30,000,000 Series B about 1 year agoArtificial Intelligence (AI)Computer VisionMachine LearningAnalyticsSoftware

  • 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)
  • 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

PythonGitImage ProcessingMachine LearningNumpyPyTorchTensorflowRESTful APIsLinuxDocumentationData visualization

Posted about 22 hours ago
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πŸ“ Argentina

🧭 Full-Time

🏒 Company: Netrix GlobalπŸ‘₯ 501-1000InternetInformation TechnologyTelecommunications

  • 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.
  • 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)

PythonSQLAgileCloud ComputingGitMachine LearningPyTorchSCRUMAzureData scienceTensorflowDevOpsTerraformData modelingData managementEnglish communication

Posted about 22 hours ago
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