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🔥 Member of Technical Staff
Posted about 1 hour ago

📍 UK

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Moonvalley AI

  • MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.
  • Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).
  • Exceptionally strong Python skills - Minimum 5 years of experience.
  • Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.
  • Rapid prototyping using open-source algorithms and shaping them to meet product needs.
  • Experience deploying ML models in the Cloud.
  • Prior experience with AWS and related services.
  • Experience with databases (Postgres/MySQL).
  • ML framework: Pytorch / Tensorflow.
  • Work closely with academic advisors to incorporate cutting-edge research into our product.
  • Contribute to R&D projects aimed at developing computer vision models.
  • Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.
  • Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.
  • Conducting experiments, analyzing results, and iterating on models to optimize performance.
  • Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.
  • Experiment, validate, and iterate on machine learning models specific to video and image processing.
  • Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.

AWSPostgreSQLPythonArtificial IntelligenceCloud ComputingImage ProcessingMachine LearningMySQLPyTorchAlgorithmsData StructuresREST APITensorflowData modeling

Posted about 1 hour ago
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🔥 Senior Data Scientist (NLP)
Posted about 3 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducationEdTechCommunitiesE-LearningAppsSocial NetworkPeer to PeerSoftware

  • Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
  • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
  • Experience with cloud platforms such as AWS and/or Google Cloud Platform.
  • Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
  • Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
  • Strong mathematical foundation and analytical skills.
  • Excellent research and experimentation skills, including design, execution, and analysis.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
  • Fluency in English.
  • Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
  • Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
  • Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
  • Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
  • Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
  • Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
  • Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
  • Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWSPythonCloud ComputingData AnalysisMachine LearningNumpyPyTorchAlgorithmsData scienceTensorflowCommunication SkillsAnalytical SkillsProblem-solving skillsResearchFluency in English

Posted about 3 hours ago
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🔥 Senior Machine Learning Engineer (Spain remote)
Posted about 4 hours ago

📍 Spain

🔍 Software Development

  • Strong expertise in computer vision and deep learning
  • Experience as a tech lead
  • Develop the fastest, most accurate detection engine that tackles critical challenges in face image security.
  • Work with state-of-the-art deep learning models and computer vision algorithms
  • Guide technical strategy and mentor engineers

DockerLeadershipPythonAgileGitImage ProcessingKerasKubernetesMachine LearningPyTorchSCRUMAlgorithmsData StructuresTensorflowCI/CDRESTful APIsMentoringLinuxData analytics

Posted about 4 hours ago
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🔥 Senior Machine Learning Engineer (Spain remote)
Posted about 7 hours ago

📍 Spain

🔍 Biometric Security

  • Bachelor's degree in computer science, computer engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects.
  • Experience communicating and working across functions to drive solutions.
  • 5+ years of experience in software engineering, computer vision, machine learning, and image processing.
  • Strong proficiency in Python and ML Ops.
  • Experience in one or more deep learning frameworks: Tensorflow / Pytorch.
  • Experience with Linux, Docker, git, and MongoDB.
  • Experience with MLOPS tools: dvc / MLflow/ ClearML / Airflow.
  • Tackle complex machine learning challenges, from designing, training, evaluating, and optimizing deep learning models for a wide range of tasks: face detection and recognition, deepfake detection, image quality assessment and others.
  • Perform deep data analysis and build data-driven algorithms.
  • Collaborate cross-functionally to transform research prototypes into robust, high-performance production solutions.
  • Provide technical leadership, making crucial decisions on ML architecture, model optimization, and coding practices.
  • Stay at the forefront of emerging technologies and research, driving continuous improvement and innovation in our solutions.
  • Own the ML Ops stack, with a strong emphasis on training, evaluation, and model versioning to ensure our machine learning models are reliable, scalable, and production ready.

DockerLeadershipPythonData AnalysisGitImage ProcessingMachine LearningMLFlowMongoDBPyTorchAlgorithmsTensorflowLinuxSoftware Engineering

Posted about 7 hours ago
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🔥 Senior Consultant, Discovery & Translational Science Consulting
Posted about 7 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: clarivate_careers

  • PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
  • A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
  • Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.
  • Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
  • Assist in designing and executing research methodologies to address business challenges and provide recommendations.
  • Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
  • Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
  • Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
  • Support proposal development by contributing to specific elements of the proposal.
  • Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWSDockerPythonSQLApache AirflowApache HadoopCloud ComputingData AnalysisData MiningETLFlaskImage ProcessingKafkaKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresRDBMSNosqlPandasTensorflowCI/CDRESTful APIsTerraformJSONData visualizationAnsibleData modelingData analyticsData management

Posted about 7 hours ago
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🔥 Machine Learning Engineer Internship, WebML - EMEA Remote
Posted about 17 hours ago

📍 France

🧭 Internship

🔍 Machine Learning

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

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

PythonFrontend DevelopmentGitJavascriptMachine LearningNumpyOpenCVPyTorchReact.jsTypeScriptAlgorithmsData StructuresREST APITensorflowWeb3.jsCI/CDRESTful APIsNodeJSSoftware Engineering

Posted about 17 hours ago
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🔥 Senior Software Engineer, AI
Posted about 22 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

  • 5+ years of engineering experience
  • Excitement for product-focused application of ML/AI - this will be a production-focused role
  • Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
  • Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
  • Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
  • Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
  • Experience in developing, testing, evaluating and deploying ML models
  • Ability to collaborate on all aspects of product strategy and UX
  • Experience shaping an early stage tech stack and product, and engineering organization
  • Be an essential technical contributor at a Series B company as it scales.
  • Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
  • Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
  • Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWSBackend DevelopmentGraphQLPostgreSQLPythonSQLArtificial IntelligenceCloud ComputingData AnalysisData MiningFull Stack DevelopmentGitKerasMachine LearningNumpyPyTorchReact.jsSoftware ArchitectureTypeScriptData engineeringREST APIPandasReactTensorflowCI/CDDevOpsNodeJSSoftware Engineering

Posted about 22 hours ago
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🔥 Senior Machine Learning Engineer
Posted about 22 hours ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

  • 4-5 years of experience in applied machine learning or related field
  • Strong proficiency in Python and its ML/data science libraries
  • Extensive experience with NLP techniques and generative AI technologies
  • Experience with LLMs and both text-to-text and text-to-image generative models
  • Proficiency in working with large datasets and creating ETL processes
  • Experience with version control systems (e.g., Git) and CI/CD practices
  • Ability to work in a fast-paced, changing startup environment
  • Collaborate with stakeholders to identify and map business problems to ML solutions
  • Design, develop, and implement ML models with a focus on NLP and generative AI applications
  • Curate, clean, and prepare data for model development and training
  • Create and maintain ETL jobs for data processing
  • Conduct rapid prototyping of ML solutions to quickly iterate on ideas
  • Stay current with the latest advancements in ML, particularly in NLP and generative AI
  • Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
  • Implement data flywheels to continuously improve ML features through increased usage
  • Define and implement ML performance metrics
  • Contribute to the product roadmap with ML-driven feature ideas
  • Be an essential technical contributor at a Series B-stage company as it scales

AWSPythonSQLETLGitMachine LearningNumpyData sciencePandasTensorflowCI/CDA/B testing

Posted about 22 hours ago
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🔥 Machine Learning Engineer (LLMs)
Posted about 23 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducationEdTechCommunitiesE-LearningAppsSocial NetworkPeer to PeerSoftware

  • 3+ years experience with deployment and maintenance of Machine Learning models in production
  • Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
  • Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
  • PyData stack along with quick frontend frameworks e.g. streamlit.
  • Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
  • Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
  • Proven track record of development of data and machine learning pipelines.
  • Knowledge of Linux/Unix system, shell scripting.
  • Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
  • Culture of DevOps and high-quality software standards.
  • Fluency in English.
  • Operationalization of Machine Learning Models
  • Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
  • Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
  • Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
  • Tooling, Infrastructure & Experimentation Support
  • Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
  • Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
  • Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
  • Continuous Learning
  • Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
  • Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWSPythonSQLBashCloud ComputingKubernetesMachine LearningPyTorchData scienceREST APITensorflowCI/CDLinuxDevOpsMicroservices

Posted about 23 hours ago
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🔥 Junior Full Stack AI Engineer
Posted 1 day ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🏢 Company: Creai

  • Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
  • Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
  • Proven ability to tackle complex problems using data analytics and predictive modeling.
  • Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
  • Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
  • Familiarity with data structures, data modeling, and software architecture principles.
  • Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
  • Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
  • Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
  • Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
  • Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
  • Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
  • Document development processes and present technical results to technical and non-technical stakeholders.

AWSPythonSQLCloud ComputingData AnalysisFull Stack DevelopmentJavaMachine LearningPyTorchSoftware ArchitectureAzurePandasTensorflowCommunication SkillsRESTful APIsScalaData modeling

Posted 1 day ago
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