Senior NLP / ML Engineer

The Senior NLP / ML Engineer sits on the Data Science Team within our Strategic Analytics & Intelligence Organization (SAI) and exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively. As a center of excellence, the Commercial Data Science team uses advanced data science capabilities, working across CMG to develop strategic and holistic solutions by identifying and leading innovative analytic projects & pilots to enable patient and customer solutions.

The Opportunity:

We are looking for a Senior NLP / ML Engineer with a strong track record in building enterprise-level Machine Learning (ML) and Natural Language Processing (NLP) driven applications and products at scale.

• The Senior Engineer will manage and guide data science and data engineering elements of AI/ML projects.
• You will drive the development, deployment and industrialization of enterprise applications using advanced NLP techniques to generate value from structured and unstructured data for the Commercial and Medical organizations.
• Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.
• Help partners define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.
• Apply ML and Statistical approaches to answer various complex business questions using multiple data sources and technical tools.
• Act as subject matter expert for applicable data science and other advanced analytical methodologies, programs, and projects, particularly in the areas of NLP, LLMs, and Gen AI.
• Collaborate within cross-functional teams to develop efficient machine learning based applications, gain alignment and deliver impactful business insights; engage necessary partners to enable better decision-making.
• This position is based in SSF and relocation benefits are not available.

Who You Are:

• You have a BS, MS, or PhD in relevant subject area: Data Science; Computer Science; Applied Mathematics, Statistics, Economics, Engineering or related field, with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
• 7 years of relevant industry work experience with at least 4 years in Machine Learning, Deep learning, Natural Language Processing and Applied Statistics including a transferable skills across multiple industries.
• 3+ years of experience applying NLP and Text Analytics to enterprise data, with demonstrated ability to drive tangible results.
• Demonstrated proficiency in using open source libraries and packages such as Spark, TensorFlow, Keras, PyTorch etc. to solve Enterprise problems.
• Demonstrated proficiency in using open source NLP libraries and packages such as Gensim, spaCy, NLTK, HuggingFace etc.
• Demonstrated working knowledge and experience with recent advancements in LLMs, Agentic Workflow Design Patterns, and open-source frameworks like LangChain, LlamaIndex etc.
• Solid foundational knowledge in Deep Learning (open source frameworks like Tensorflow, Keras and/or PyTorch) with applications focused on NLP (such as Transformers for Sequence to Sequence learning tasks).
• Experience working with large, complex data using Hadoop or Spark or any other big data platforms.
• Proficiency with industry-standard programming languages such as R or Python
• Experience with other data science and cloud-computing tools and platforms (AWS, GCP, etc.).
• Strong knowledge of secondary data sources including syndicated sales, promotional & marketing data, longitudinal patient level data.
• Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.

The expected salary range for this position based on the primary location of CA is $172,500 – $320,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits:

Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.