involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online … solutions into production-grade software and have an understanding of ModelOps and MLOps principles. Had previous exposure to NaturalLanguageProcessing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields. Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.). What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment More ❯
involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online … solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to NaturalLanguageProcessing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days More ❯
models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, NaturalLanguageProcessing (NLP), and Large Language Models (LLM) to develop innovative solutions for Amazon's ISS team. The role combines usage of latest AI technology with practical … and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping. Define and conduct experiments to validate/reject More ❯
models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, NaturalLanguageProcessing (NLP), and Large Language Models (LLM) to develop innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative … and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping. Define and conduct experiments to validate/reject More ❯
will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI … Model Training and Fine-tuning: Experience in training and fine-tuning AI models to optimize performance and accuracy. NaturalLanguageProcessing (NLP): A solid understanding of NLP to handle tasks involving human language interaction. Data Ethics and AI Bias: Awareness of ethical considerations and bias in More ❯
and automation, helping our customers drive innovation and boost productivity. The AI team at Productboard oversees this critically important set of AI platform capabilities, processing customer feedback from various sources and helping Product managers to better understand their customers at every step of the product development lifecycle. We are … B2B SaaS. Hands-on experience and strong track record of building complex AI/ML products. Experience with naturallanguageprocessing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of data pipelines, data modeling, and MLOps. Experience More ❯
who enjoys collaborating and problem solving, working on complex, distributed systems You have Python coding skills combined with at least one other OO programming language, e.g. C#, Java, C++ You have experience of working with Artificial Intelligence and are excited about the … possibilities of AI in real world settings You have a data centric mindset with a good knowledge of LLMs (Large Language Models) and NLP (NaturalLanguageProcessing) You have a strong knowledge of modern software engineering best practices and have experience across the full software development More ❯
science that millions of people will use? Are you excited about working on Large Language Models (LLM), NaturalLanguageProcessing (NLP), Machine Learning (ML), and Deep Learning (DL)? We are embarking on a multi-year journey to improve the shopping experience for customers globally. The Amazon … diversity in user preferences, multilingual search, and data scarcity. We are looking for an applied researcher to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in query understanding and semantic matching. As part of this role, you … moving fast to change the way Amazon search works. Together with a multi-disciplinary team, you will work on building solutions with LLM/NLP/ML/DL at its core. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ More ❯
winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯
development of a framework and software prototype for an AI-based compliance control system. This system will apply NaturalLanguageProcessing (NLP) and Large Language Models (LLMs) to analyze the compliance of treaties and agreements, including for example bilateral agreements that are particularly relevant for operationalizing More ❯
with a strong technical background. You must have experience in a tech scale-up environment. We are looking for experts in machine learning and naturallanguageprocessing who are excited by the challenges of automated knowledge base construction, including information extraction, entity resolution, graph-based embedding/… focus on NLP. Proven experience leading ML projects across the full lifecycle. Comfortable dealing with uncertainty and pre-market product ideas. Deep expertise in naturallanguage processing. Deep understanding with the new generation of Large Language Models. Familiarity with the search and recommendation problem space. Experience with More ❯
deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with NaturalLanguageProcessing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply … Desired Qualifications: Masters or PhD in Machine Learning/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and More ❯
deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with NaturalLanguageProcessing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply … Desired Qualifications: Masters or PhD in Machine Learning/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and More ❯
Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, naturallanguageprocessing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate … AI-driven insights into experimental workflows. Develop and maintain scalable pipelines for data processing and model deployment. Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge More ❯
AI solutions for their core platform. Youll work on cutting-edge projects that leverage Machine Learning (ML) and NaturalLanguageProcessing (NLP) techniques to solve complex, real-world challenges. This is an excellent opportunity for someone passionate about AI and innovation to thrive in a collaborative and … fast-paced environment. Key Responsibilities: Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. Collaborate with engineering teams to integrate AI models into existing systems … projects. What Were Looking For: Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with NLP frameworks such as Hugging Face or spaCy. Strong understanding of data handling, including SQL, NoSQL, and building data processing pipelines. Familiarity with cloud platforms More ❯
and attention to detail. Ability to work independently and as part of a team. Preferred Qualifications: Experience with naturallanguageprocessing (NLP) techniques. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Experience with version control systems (e.g., Git). More ❯
current problems. Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (NaturalLanguageProcessing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of More ❯
validate analytical models using leading AI/ML techniques, including supervised and unsupervised learning, deep learning, GenAI and naturallanguageprocessing (NLP) Evaluate and integrate new data sources, emerging tools, and sophisticated analytics methodologies to transform the organization's capabilities Design interactive dashboards and data applications to More ❯
feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with NaturalLanguageProcessing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search … and collaboratively. Desired Qualifications: Masters or PhD in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment More ❯
feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with NaturalLanguageProcessing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search … and collaboratively. Desired Qualifications: Masters or PhD in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment More ❯
advances in deep learning and machine learning to personalise recommendations at Bumble, e.g. graph neural networks, computer vision, naturallanguageprocessing (NLP), representation learning, reinforcement learning, etc. Optimise model performance while balancing computational efficiency and scalability within Bumble's MLOps platform to deploy and scale models. Work More ❯
/deliverables: These are the key things that you will be responsible for within the Senior Data Analyst role: Lead and oversee the collection, processing, and analysis of intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Collaborate with intelligence and security professionals across the … SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in NaturalLanguageProcessing (NLP). Exceptional problem-solving abilities, attention to detail, and a curious, analytical mindset. Highly desirable: Familiar with AWS, Snowflake A background in intelligence or quantitative More ❯
experiences that surpass previous machine learning models. We seek a passionate, talented, and resourceful Applied Scientist specializing in NaturalLanguageProcessing (NLP), Recommender Systems, and/or Information Retrieval. The role involves inventing and building scalable solutions for a state-of-the-art context-aware speech assistant. … in programming languages such as Java, C++, Python, or related languages PREFERRED QUALIFICATIONS PhD in Electrical Engineering, Computer Science, or Mathematics, with specialties in NLP, recommendation systems, or information retrieval 2+ years of experience building machine learning or deep learning models for large-scale customer-facing products or features Publications … in peer-reviewed NLP/ML conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) Strong software development skills Excellent written and verbal communication abilities Amazon is an equal opportunity employer and values diversity. We provide accommodations for applicants with disabilities during the hiring process. For more information, visit this More ❯
revolutionizing how customers experience music, podcasts and audiobooks through personalized recommendations and novel listening features. We are innovating with Machine Learning technologies, including Large Language Models, to enhance content recommendations and create more engaging listening experiences. As a technical leader, you'll have ownership of key product and technology … transform how customers discover and engage with music and podcasts. We are focused on building personalized and dynamic experiences that allow customers to use naturallanguage to find the content they already love and discover new content they'll love just as much. These experiences work seamlessly across … facing features. Experience partnering with product and program management teams. Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, NaturalLanguageProcessing and related applications. Excellent written and verbal communication skills, with the ability to present complex technical information in a clear More ❯
The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, naturallanguageprocessing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯
