דרושים Applied Researcher ב-איביי ב-Netherlands, Amsterdam

What you will accomplish:

• An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.

• A collaborative and supportive work environment where innovation and creativity are encouraged.

• Access to state-of-the-art resources and tools to support your research and development work.

• A culture that values diversity, inclusion, and the professional growth of its members.

• Competitive compensation and benefits package, tailored to attract the best talent in the field.

What you will bring:

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

• Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).

• Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.

• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

We are seeking a highly skilled and motivated Applied Researcher with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). In this role, you will focus on developing and deploying deep learning models that empower our buyers and sellers, including areas such as LLM post-training (instruction tuning, alignment), and scalable deployment. Working closely with research scientists and cross-functional engineers, you will translate cutting-edge algorithms into production-ready features that create measurable impact in our products and services.

What you will accomplish:

• Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM.

• Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms.

• Conduct research on the latest technologies and methodologies in NLP and LLMs to drive innovation within the team.

• Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation.

• Implement best practices in model development, validation, testing, and deployment to ensure high-quality and scalable solutions.

• Stay abreast of industry trends and advancements in AI, machine learning, and NLP to continuously improve our capabilities.

What you will bring:

• Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.

• Proven experience in machine learning, with a strong emphasis on NLP and LLMs (experience with instruction tuning and alignment is a major plus).

• Proficiency in programming languages such as Python and C++ and frameworks like PyTorch, TensorFlow, or similar.

• Solid understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines. Experience with model inference optimization techniques and libraries is a plus.

• Experience with data preprocessing, feature engineering, model evaluation metrics and large scale data processing framework like SPARK.

• Excellent analytical and problem-solving skills and the ability to work in a fast-paced, dynamic environment.

• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical collaborators, come up with creative solutions, and help with tracking and delivering within the release plan

• Publication record in top AI conferences/journals is a big plus

What we offer:

• An opportunity to work on cutting-edge research in NLP and deep learning, making significant contributions to the field and real-world applications.

• A collaborative and supportive work environment where innovation and creativity are encouraged.

• Access to state-of-the-art resources and tools to support your research and development work.

• A culture that values diversity, inclusion, and the professional growth of its members.

• Competitive compensation and benefits package, tailored to attract the best talent in the field.

As an Applied Researcher within our Advertising team, you will play a pivotal role in developing advanced machine learning and generative AI models to guide sellers and power the next generation of ads products. You will work with large-scale data and state-of-the-art LLMs to deliver actionable insights and innovative ad experiences. Your work will directly impact our guidance systems, enhance ad performance, and deliver value for our sellers. You will also drive innovation by applying GenAI to create new ad experiences and solutions.

• Machine Learning & GenAI Development: Design, implement, validate, and deploy machine learning models tailored to advertising applications. Leverage LLMs to build systems that provide actionable guidance and innovative ad experiences.

• Data Understanding: Analyze large volumes of production data to produce business insights and identify opportunities for ML and GenAI solutions.

• Cross-functional Collaboration: Work closely with product managers, engineers, and other researchers to integrate ML and GenAI insights into our advertising products. Ensure our seller guidance systems are aligned with user needs and business goals.

• Innovation and Research:
  

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning, data science, or generative AI.

• Experience: 5+ years in applied research or development of data analysis, traditional machine learning and generative AI models, with hands-on experience building and deploying these models in real-world applications, preferably with the advertising industry or a closely related field, i.e. search, recommendation system and NLP.

• Technical Proficiency: Strong programming skills in Python, Java or C/C++. Expertise in ML frameworks (TensorFlow, PyTorch), and experience with big data technologies (Hadoop, Spark).

• Analytical Skills: Outstanding ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining, segmentation, and SQL.

• Communication:

As an within our Advertising team, you will play a pivotal role in developing machine learning models and algorithms to guide advertisers optimally. This role will also include a scope positioned around data analysis. Your work will directly impact our guidance systems, enhancing ad performance and delivering actionable insights. You will lead our efforts in data analysis, uncovering trends, and driving data-informed decisions that support our advertisers' success.

• Machine Learning Development: Design, implement, validate and deploy machine learning models tailored to advertising applications. Focus on developing systems that provide actionable guidance to advertisers, optimizing ad performance and engagement.

• Data Understanding : Analyze large volume of production data to produce business insights and identify potential opportunities for ML solutions

• Cross-functional Collaboration: Work closely with product managers, engineers, and other researchers to integrate machine learning insights into our advertising products. Ensure that our advertiser guidance systems are aligned with user needs and business goals.

• Innovation and Research: Stay abreast of the latest developments in machine learning and advertising technologies. Chip in to internal and external research communities by publishing findings, attending conferences, and participating in collaborative projects.

• Technical Mentoring: Guide junior researchers and data analysts. Share knowledge and standard methodologies in machine learning and data analysis to uplift the team's capabilities.

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

• Experience: 5+ years of experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).

• Analytical Skills: Outstanding ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining and segmentation. SQL is a must.

• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

What you will accomplish:

• An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.

• A collaborative and supportive work environment where innovation and creativity are encouraged.

• Access to state-of-the-art resources and tools to support your research and development work.

• A culture that values diversity, inclusion, and the professional growth of its members.

• Competitive compensation and benefits package, tailored to attract the best talent in the field.

What you will bring:

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.

• Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.

• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).

• Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.

• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.