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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

  • 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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🔥 Senior Data Scientist / ML Engineer
Posted about 2 hours ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🏢 Company: TELUS Digital Brazil

  • Relevant experience in data science/ machine learning development
  • Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
  • Proficiency in Python.
  • Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
  • Strong understanding of machine learning algorithms, processes, tools and platforms.
  • Ability to work on distributed cloud platforms
  • Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
  • Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
  • Establish efficient, automated processes for large-scale modeling;
  • Become part of a highly skilled and geographically distributed team;
  • Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
  • Strong sense of ownership, urgency and drive.

AWSBackend DevelopmentDockerPythonSoftware DevelopmentSQLApache AirflowCloud ComputingData AnalysisData MiningFlaskKubernetesMachine LearningMLFlowNumpyAlgorithmsData engineeringData scienceREST APIPandasCI/CDAgile methodologiesRESTful APIsDevOpsMicroservicesJSONData visualizationData modeling

Posted about 2 hours ago
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🔥 Machine Learning Engineer
Posted about 4 hours ago

📍 Colombia

🧭 Full-Time

🔍 Software Development

  • 5+ years of applied ML engineering experience
  • Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions
  • Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions.

AWSPythonSQLKerasMachine LearningMySQLNumpyData scienceREST APIPandas

Posted about 4 hours ago
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🔥 Bioinformatics Scientist/Engineer
Posted about 5 hours ago

📍 United States

💸 101800.0 - 127300.0 USD per year

🔍 Bioinformatics

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff about 2 years agoWomen'sBiotechnologyMedicalGeneticsHealth Diagnostics

  • MS/PhD in Computer Science, Computer Engineering, Bioinformatics, or related field with a strong focus on cancer epi/genomics
  • Highly experienced in software engineering, algorithm development, and sequencing data analysis, proven through development of production-level software
  • Deep understanding and extensive hands-on experience with best practices in software development, including design principles, object-oriented design patterns, testing, deployment, version control, code review, and documentation.
  • Extensive experience in deployment using containerization technologies, such as Docker
  • Highly experienced in distributed computing on cloud, AWS is preferred
  • Experienced in code profiling to identify opportunities for code optimization in terms of runtime and memory usage
  • Deep understanding of sequencing data
  • Strong computational and programming skills, with hands-on experience with Python and its scientific library stack (Pandas, NumPy, scikit-learn)
  • Expert in using Linux command-line tools and writing shell scripts
  • Ability to work independently while managing multiple objectives and timelines
  • Desire to work in a fast-paced environment with potential for high impact in a small team
  • Design and develop production-level code – both writing new code and refactoring existing code – with a strong emphasis on software architecture, optimization, scalability, robustness, maintainability, and thorough documentation, adhering to best software development practices
  • Strong ability to deeply understand code developed for sequencing data processing and analysis
  • Design and implement comprehensive tests across the entire codebase and pipeline, including unit tests, integration tests, and end-to-end tests
  • Facilitate training and evaluation of Machine Learning models on large datasets using distributed computing on AWS
  • Ability to collaborate between the R&D team and Engineering team to develop and to troubleshoot production software
  • Participate in Code and Design Reviews

AWSDockerPythonSoftware DevelopmentAgileBashData AnalysisMachine LearningNumpyAlgorithmsAPI testingData scienceData StructuresPandasCommunication SkillsProblem SolvingRESTful APIsLinuxDocumentationSoftware Engineering

Posted about 5 hours 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 agoSaaSSalesEnterprise SoftwareSoftware

  • 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
  • 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

AWSPythonSQLCloud ComputingData AnalysisETLMachine LearningNumpyAlgorithmsData engineeringGoPandasTensorflowData modeling

Posted about 5 hours ago
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🔥 Senior Machine Learning Engineer (Underwriting)
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 150000.0 - 200000.0 USD per year

🔍 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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🔥 Senior Software Engineer, AI
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 147000.0 - 184000.0 USD per year

🔍 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 “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

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

Posted about 7 hours ago
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🔥 Data Scientist – Commercial Insights
Posted about 8 hours ago

📍 UK, Europe, Africa

🔍 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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🔥 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

  • 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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🔥 Senior Machine Learning Engineer
Posted about 22 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Replicant👥 101-250💰 $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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