Research Engineer

About the role

In this opportunity as a Research Engineer, you will:

• Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, designing, building, testing and delivering high-quality solutions.
• Build Scalable ML Solutions: 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 a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, and partner with cross-functional and remote teams.
• Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver timely solutions.
• 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 dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.

About You

• A Bachelor of Science degree, computer science or related field
• At least 2 years software engineering experience, ideally in the context of machine learning and natural language processing
• Experience and understanding of Python software development stacks and ecosystems, ideally also experience with other programming languages and ecosystems
• Ability to understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems
• Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn
• Take pride in writing clean, reusable, maintainable and well-tested code
• A desire to learn and embrace new and emerging technology
• Familiarity with probabilistic models and understand the mathematical concepts underlying machine learning methods
• Proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform)
• 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.
• Ability to understand and translate between language and methodologies used both in research and engineering fields
• Ability to take and integrate Machine Learning solutions to production-grade software

Benefits

• Hybrid Work Model: flexible hybrid working environment with digital and physical connectivity
• Flexibility & Work-Life Balance: Flex My Way policies, flexible work arrangements, work from anywhere for up to 8 weeks per year
• Career Development and Growth: continuous learning culture, Grow My Way programming, skills-first approach
• Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, two company-wide Mental Health Days off, Headspace app access, retirement savings, tuition reimbursement, employee incentive programs, and wellbeing resources
• Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance
• Social Impact: two paid volunteer days off annually, pro-bono consulting projects, ESG initiatives
• Making a Real-World Impact: help customers pursue justice, truth, and transparency

Pay

The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $101,600 USD – $188,700 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $88,200 USD – $163,800 USD. For Ontario, Canada, the base compensation range for this role is $80,000 CAD – $100,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.