Large

Radancy is the leading cloud-based talent acquisition software provider intelligently solving the most critical challenges for enterprises globally and delivering cost-efficient outcomes that strengthen their organizations. The Radancy Talent Acquisition Cloud, powered by rich data and deep industry insights, optimizes the entire candidate journey, enabling enterprises to hire the most qualified talent faster, while reducing costs and driving higher ROI, recruiter efficiency and an improved candidate experience.
Headquartered in New York City with a footprint that spans the world, we are one company committed to predicting, defining and creating the future of our industry in partnership with our 1000+ global customers.

Technology

Radancy

You should have 2+ years in ML, AWS, Docker, Kubernetes, strong Python skills, NLP knowledge, CI/CD experience, and preferably AdTech experience, along with debugging and model optimization skills.

You will develop and manage ML infrastructure, optimize models, implement algorithms, assist data scientists, troubleshoot issues, and write efficient code while integrating with databases.

Data

Software Engineering

Hamburg

Radancy Programmatic is seeking a Machine Learning Engineer to join our dynamic Data Science team. In this role, you will play a critical part in building the infrastructure and algorithms that power our production programmatic advertising allocation system and collaborate closely with data scientists, product managers, and software engineers. The Radancy Data Science team has expertise in optimization, regression, classification, and NLP principles to develop world class machine learning strategies for performance advertising that yield the most important results for our customers: hiring the best employees. Role And Responsibilities * Platform and Infrastructure development * Manage and improve the machine learning serving platform, leveraging AWS. Work with the DevOps team to ensure scalability, security, and reliability of the infrastructure. * Contribute to diverse projects, including bid optimization, budget allocation, natural language processing (NLP), and large language models (LLMs). * Project Deployment and Support * Implement new algorithms and improve the quality of current production algorithms * Assist other data scientists in deploying new machine learning projects. * Troubleshoot production issues * Model Performance Optimization * Hyperparameter optimization across systems of multiple algorithms. * Implement long run solutions to mitigate model concept drift over months and years. * Development and Analysis * Write efficient, maintainable code using the modern python data science stack * Integrate with and query databases, particularly **PostgreSQL** and Delta Lake. Preferred Qualifications * 2+ years as a Machine Learning Engineer or equivalent experience. * Hands-on experience with AWS, docker and Kubernetes. * Experience in debugging complex system issues. * Strong Python programming skills, particularly for data intensive tasks. * Knowledge of machine learning fundamentals and model optimization techniques. * Understanding of NLP, language models, and their applications. * Prior involvement in projects involving bid optimization or budget allocation. * Understanding of CI/CD pipelines (bitbucket pipelines / github workflows), terraform is a plus * Experience working in AdTech is a plus. Who You Are * A proactive problem-solver with a passion for deploying and optimizing machine learning solutions. * A collaborative team player who thrives in cross-functional settings. * An individual with a strong foundation in MLOps, data science and software engineering principles. Why Join Us? * Work on impactful projects at the intersection of machine learning and real-world applications. * Collaborate with a talented team in a supportive and innovative environment. * Opportunity to grow and expand your expertise in cutting-edge technologies like NLP and LLMs. If you’re ready to make a significant impact and take your career to the next level, we’d love to hear from you!

Radancy Programmatic is seeking a Machine Learning Engineer to join our dynamic Data Science team. In this role, you will play a critical part in building the infrastructure and algorithms that power our production programmatic advertising allocation system and collaborate closely with data scientists, product managers, and software engineers.The Radancy Data Science team has expertise in optimization, regression, classification, and NLP principles to develop world class machine learning strategies for performance advertising that yield the most important results for our customers: hiring the best employees.Role And Responsibilities * Platform and Infrastructure development * Manage and improve the machine learning serving platform, leveraging AWS. Work with the DevOps team to ensure scalability, security, and reliability of the infrastructure. * Contribute to diverse projects, including bid optimization, budget allocation, natural language processing (NLP), and large language models (LLMs). * Project Deployment and Support * Implement new algorithms and improve the quality of current production algorithms * Assist other data scientists in deploying new machine learning projects. * Troubleshoot production issues * Model Performance Optimization * Hyperparameter optimization across systems of multiple algorithms. * Implement long run solutions to mitigate model concept drift over months and years. * Development and Analysis * Write efficient, maintainable code using the modern python data science stack * Integrate with and query databases, particularly **PostgreSQL** and Delta Lake.         Preferred Qualifications * 2+ years as a Machine Learning Engineer or equivalent experience. * Hands-on experience with AWS, docker and Kubernetes. * Experience in debugging complex system issues. * Strong Python programming skills, particularly for data intensive tasks. * Knowledge of machine learning fundamentals and model optimization techniques. * Understanding of NLP, language models, and their applications. * Prior involvement in projects involving bid optimization or budget allocation. * Understanding of CI/CD pipelines (bitbucket pipelines / github workflows), terraform is a plus * Experience working in AdTech is a plus.         Who You Are * A proactive problem-solver with a passion for deploying and optimizing machine learning solutions. * A collaborative team player who thrives in cross-functional settings. * An individual with a strong foundation in MLOps, data science and software engineering principles.         Why Join Us? * Work on impactful projects at the intersection of machine learning and real-world applications. * Collaborate with a talented team in a supportive and innovative environment. * Opportunity to grow and expand your expertise in cutting-edge technologies like NLP and LLMs.         If you’re ready to make a significant impact and take your career to the next level, we’d love to hear from you!

Machine Learning Engineer - Radancy

Radancy Programmatic is seeking a Machine Learning Engineer to join our dynamic Data Science team. In this role, you will play a critical part in building the infrastructure and algorithms that power our production programmatic advertising allocation system and collaborate closely with data scientists, product managers, and software engineers.&lt;br&gt;&lt;br&gt;The Radancy Data Science team has expertise in optimization, regression, classification, and NLP principles to develop world class machine learning strategies for performance advertising that yield the most important results for our customers: hiring the best employees.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Role And Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt; Platform and Infrastructure development &lt;/li&gt;&lt;li&gt;Manage and improve the machine learning serving platform, leveraging AWS. Work with the DevOps team to ensure scalability, security, and reliability of the infrastructure. &lt;/li&gt;&lt;li&gt;Contribute to diverse projects, including bid optimization, budget allocation, natural language processing (NLP), and large language models (LLMs). &lt;/li&gt;&lt;li&gt; Project Deployment and Support &lt;/li&gt;&lt;li&gt;Implement new algorithms and improve the quality of current production algorithms &lt;/li&gt;&lt;li&gt;Assist other data scientists in deploying new machine learning projects. &lt;/li&gt;&lt;li&gt;Troubleshoot production issues &lt;/li&gt;&lt;li&gt; Model Performance Optimization &lt;/li&gt;&lt;li&gt;Hyperparameter optimization across systems of multiple algorithms. &lt;/li&gt;&lt;li&gt;Implement long run solutions to mitigate model concept drift over months and years. &lt;/li&gt;&lt;li&gt; Development and Analysis &lt;/li&gt;&lt;li&gt;Write efficient, maintainable code using the modern python data science stack &lt;/li&gt;&lt;li&gt;Integrate with and query databases, particularly **PostgreSQL** and Delta Lake. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Preferred Qualifications&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;2+ years as a Machine Learning Engineer or equivalent experience. &lt;/li&gt;&lt;li&gt;Hands-on experience with AWS, docker and Kubernetes. &lt;/li&gt;&lt;li&gt;Experience in debugging complex system issues. &lt;/li&gt;&lt;li&gt;Strong Python programming skills, particularly for data intensive tasks. &lt;/li&gt;&lt;li&gt;Knowledge of machine learning fundamentals and model optimization techniques. &lt;/li&gt;&lt;li&gt;Understanding of NLP, language models, and their applications. &lt;/li&gt;&lt;li&gt;Prior involvement in projects involving bid optimization or budget allocation. &lt;/li&gt;&lt;li&gt;Understanding of CI/CD pipelines (bitbucket pipelines / github workflows), terraform is a plus &lt;/li&gt;&lt;li&gt;Experience working in AdTech is a plus.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Who You Are&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;A proactive problem-solver with a passion for deploying and optimizing machine learning solutions. &lt;/li&gt;&lt;li&gt;A collaborative team player who thrives in cross-functional settings. &lt;/li&gt;&lt;li&gt;An individual with a strong foundation in MLOps, data science and software engineering principles. &lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Why Join Us? &lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Work on impactful projects at the intersection of machine learning and real-world applications. &lt;/li&gt;&lt;li&gt;Collaborate with a talented team in a supportive and innovative environment. &lt;/li&gt;&lt;li&gt;Opportunity to grow and expand your expertise in cutting-edge technologies like NLP and LLMs.&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;If you’re ready to make a significant impact and take your career to the next level, we’d love to hear from you!

Radancy

Mission