F. Hoffmann-La Roche Gruppe
Lead Machine Learning Engineer
F. Hoffmann-La Roche Gruppe, New York, New York, United States,
Roche fördert Diversität, Gleichstellung und Inklusion und repräsentiert die Gemeinschaften, denen wir dienen. Wenn es um die Gesundheitsversorgung auf globaler Ebene geht, ist Vielfalt eine wesentliche Zutat für den Erfolg. Wir glauben, dass Inklusion der Schlüssel zum Verständnis der unterschiedlichen Bedürfnisse der Menschen im Gesundheitsbereich ist. Gemeinsam engagieren wir uns für Individualität und teilen die Leidenschaft für eine herausragende Versorgung. Kommen Sie zu Roche, wo jede Stimme zählt.Die Position
The Opportunity:At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.PTE is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.As the Lead Machine Learning Engineer at Roche PTE, you will spearhead the development and deployment of machine learning models that enhance our pharmaceutical operations. You will lead a team of machine learning engineers and collaborate with data scientists, engineers, and business stakeholders to deliver innovative solutions that drive operational excellence, predictive analytics, and automation.Key Responsibilities:Lead the design, development, and deployment of scalable and maintainable machine learning models to address complex challenges in pharmaceutical manufacturing and operations, ensuring seamless integration into production environments. Collaborate with data engineers to establish robust data pipelines that effectively support model performance.Lead and mentor a team of machine learning engineers, fostering innovation and continuous learning. Collaborate with cross-functional teams to translate business needs into ML solutions, ensuring alignment with broader business objectives and strategy.Ensure model performance and optimization by monitoring deployed models for accuracy, efficiency, and reliability, implementing continuous retraining strategies, and leveraging advanced techniques like hyperparameter tuning, feature engineering, and model ensembling to enhance outcomes.Drive innovation and continuous improvement by staying current with advancements in machine learning and AI, applying new methodologies and technologies to enhance Roche PT’s operations, and leading initiatives to integrate AI-driven automation and predictive analytics into processes.Manage stakeholder communication by simplifying complex ML concepts for non-technical audiences, collaborating with IT/DevOps for seamless model integration, and offering thought leadership on ML applications in the pharmaceutical industry.Apply strong coding practices, including modular and reusable code (SOLID principles), version control, testing and automation, CI/CD pipelines, thorough documentation, code reviews, and performance optimization.Who you are:Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus.Experience:
5+ years of experience in machine learning engineering, with a track record of successfully deploying models in production.Proven experience leading and mentoring a team of machine learning engineers.
Technical Skills:
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.In-depth knowledge of machine learning algorithms, including supervised and unsupervised models, and the ability to design, apply, and evaluate multiple or ensemble models to select the best-fit solution.Experience with experiment tracking frameworks (e.g., Weights & Biases, Neptune.ai, or TensorBoard) to log and manage machine learning experiments, track model lifecycle stages (development, staging, production), and evaluate model performance metrics. Skilled in ensuring model reproducibility, version control, and experiment traceability across different environments.Proficiency in programming languages such as Python, R, or Scala.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
Interpersonal skills:
Able to demonstrate an enterprise mindset and entrepreneurial behaviors broadly across different work scenarios. Identify user needs and generate viable solutions in a creative process using innovation frameworks and tools (e.g. DesignThinking, Sprints, User Stories/Personas etc).Able to communicate a compelling story and complex concepts with aspirational language that data professionals, business stakeholders and decision makers equally understand.Able to explain the concept of agility, agile ways of working/thinking, key principles, values and purpose, as well as the OneRoche.
Preferred Qualifications:Experience in the pharmaceutical or healthcare industry.Knowledge of regulatory requirements related to pharmaceutical data (e.g., GMP, FDA).Wer wir sind
Bei Roche leisten 100,000 Menschen in 100 Ländern Pionierarbeit im Gesundheitswesen. Gemeinsam haben wir uns zu einem weltweit führenden, forschungsorientierten Healthcare-Konzern entwickelt. Unser Erfolg baut auf Innovation, Neugier und Vielfalt.Basel ist der Hauptsitz der Roche-Gruppe und eines ihrer wichtigsten Zentren der pharmazeutischen Forschung.Über 10,700 Mitarbeitende aus über 100 Ländern kommen an unserem Standort Basel/Kaiseraugst zusammen, einem der größten Standorte von Roche.Neben umfangreichen Weiterbildungs- und Weiterbildungsmöglichkeiten bieten wir flexible Arbeitsmöglichkeiten, 18 Wochen Mutterschaftsurlaub und 10 Wochen genderunabhängigen Partnerschaftsurlaub.Unsere Mitarbeitenden profitieren auch von zahlreichen Dienstleistungen vor Ort, wie Kinderbetreuungseinrichtungen, medizinische Dienste, Restaurants und Cafeterien sowie verschiedenen Veranstaltungen für Mitarbeitende.Wir glauben an die Kraft von Vielfalt und Inklusion und sind bestrebt, Möglichkeiten zu identifizieren und zu schaffen, die es allen Menschen ermöglichen, ihre Einzigartigkeit in Roche zu entfalten.Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.
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The Opportunity:At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.PTE is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.As the Lead Machine Learning Engineer at Roche PTE, you will spearhead the development and deployment of machine learning models that enhance our pharmaceutical operations. You will lead a team of machine learning engineers and collaborate with data scientists, engineers, and business stakeholders to deliver innovative solutions that drive operational excellence, predictive analytics, and automation.Key Responsibilities:Lead the design, development, and deployment of scalable and maintainable machine learning models to address complex challenges in pharmaceutical manufacturing and operations, ensuring seamless integration into production environments. Collaborate with data engineers to establish robust data pipelines that effectively support model performance.Lead and mentor a team of machine learning engineers, fostering innovation and continuous learning. Collaborate with cross-functional teams to translate business needs into ML solutions, ensuring alignment with broader business objectives and strategy.Ensure model performance and optimization by monitoring deployed models for accuracy, efficiency, and reliability, implementing continuous retraining strategies, and leveraging advanced techniques like hyperparameter tuning, feature engineering, and model ensembling to enhance outcomes.Drive innovation and continuous improvement by staying current with advancements in machine learning and AI, applying new methodologies and technologies to enhance Roche PT’s operations, and leading initiatives to integrate AI-driven automation and predictive analytics into processes.Manage stakeholder communication by simplifying complex ML concepts for non-technical audiences, collaborating with IT/DevOps for seamless model integration, and offering thought leadership on ML applications in the pharmaceutical industry.Apply strong coding practices, including modular and reusable code (SOLID principles), version control, testing and automation, CI/CD pipelines, thorough documentation, code reviews, and performance optimization.Who you are:Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus.Experience:
5+ years of experience in machine learning engineering, with a track record of successfully deploying models in production.Proven experience leading and mentoring a team of machine learning engineers.
Technical Skills:
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.In-depth knowledge of machine learning algorithms, including supervised and unsupervised models, and the ability to design, apply, and evaluate multiple or ensemble models to select the best-fit solution.Experience with experiment tracking frameworks (e.g., Weights & Biases, Neptune.ai, or TensorBoard) to log and manage machine learning experiments, track model lifecycle stages (development, staging, production), and evaluate model performance metrics. Skilled in ensuring model reproducibility, version control, and experiment traceability across different environments.Proficiency in programming languages such as Python, R, or Scala.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
Interpersonal skills:
Able to demonstrate an enterprise mindset and entrepreneurial behaviors broadly across different work scenarios. Identify user needs and generate viable solutions in a creative process using innovation frameworks and tools (e.g. DesignThinking, Sprints, User Stories/Personas etc).Able to communicate a compelling story and complex concepts with aspirational language that data professionals, business stakeholders and decision makers equally understand.Able to explain the concept of agility, agile ways of working/thinking, key principles, values and purpose, as well as the OneRoche.
Preferred Qualifications:Experience in the pharmaceutical or healthcare industry.Knowledge of regulatory requirements related to pharmaceutical data (e.g., GMP, FDA).Wer wir sind
Bei Roche leisten 100,000 Menschen in 100 Ländern Pionierarbeit im Gesundheitswesen. Gemeinsam haben wir uns zu einem weltweit führenden, forschungsorientierten Healthcare-Konzern entwickelt. Unser Erfolg baut auf Innovation, Neugier und Vielfalt.Basel ist der Hauptsitz der Roche-Gruppe und eines ihrer wichtigsten Zentren der pharmazeutischen Forschung.Über 10,700 Mitarbeitende aus über 100 Ländern kommen an unserem Standort Basel/Kaiseraugst zusammen, einem der größten Standorte von Roche.Neben umfangreichen Weiterbildungs- und Weiterbildungsmöglichkeiten bieten wir flexible Arbeitsmöglichkeiten, 18 Wochen Mutterschaftsurlaub und 10 Wochen genderunabhängigen Partnerschaftsurlaub.Unsere Mitarbeitenden profitieren auch von zahlreichen Dienstleistungen vor Ort, wie Kinderbetreuungseinrichtungen, medizinische Dienste, Restaurants und Cafeterien sowie verschiedenen Veranstaltungen für Mitarbeitende.Wir glauben an die Kraft von Vielfalt und Inklusion und sind bestrebt, Möglichkeiten zu identifizieren und zu schaffen, die es allen Menschen ermöglichen, ihre Einzigartigkeit in Roche zu entfalten.Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.
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