Manager, Research Engineering

The science and engineering of AI is rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problems spaces; who is comfortable with ambiguity and pivoting when needed. Is this you? Come join us.

About the Role

In this opportunity as a Software Engineer with a specialization in Machine Learning, you will:

• Develop and Deliver: Applying modern development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
• Solve Complex Problems: 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 delivery environments.
• Be aTeam Player:Working in a diverse and collaborativeteam-orientedenvironment, you willshare information,value diverse ideas, partner with cross-functional and remote teams.
• Be anAgile Person: With a strong sense of urgency and a desire to work in a fast-paced dynamic environment, you will deliver innovative solutions against strict timelines.
• Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
• Be an Effective Communicator: Through active engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
• Familiarizing and adopting work methodology aligning with the existing engineering organization.
• Contributing to the delivery for key initiatives already in-flight within the labs engineering organization.
• Collaborating with the broader engineering organization in the definition, refinement and adoption of standards in partnership with central and product technology organizations.
• Continue driving a culture of collaboration across sites and functions.
• Become a key member of a high performing team that can take ownership of innovative projects from inception to delivery.
• Proactively look for and explore opportunities where labs can improve the status quo or generate new business value.

About You

Youre a fit for the role of Software Engineer - Machine Learning if you:

• Can think in code and have a deep understanding of the Python software development stacks and ecosystems
• Have a fundamental understanding of the Software development Lifecycle
• Can understand, apply, integrate, and deploy Machine Learning capabilities and techniques into other systems.
• Take pride in writing clean, reusable, maintainable and well-tested code.
• Demonstrate experience deploying cloud-native applications in AWS or Azure (or a similar cloud platform) particularly those involving ML models.
• Are familiar with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch, Huggingface,
• Have a desire to learn and embrace new and emerging technology.
• Are familiar with probabilistic models and understand the mathematical concepts underlying machine learning methods.
• Have a Bachelor's Degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field.
• Have hands-on experience in other programming and scripting languages (Java, TypeScript, JavaScript, etc.).
• Had previous exposure to Natural Language Processing (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.
• Have been successfully taking and integrating Machine Learning solutions to production-grade software.