NLP Engineer

• Apply your deep technical expertise to solve complex, real-world problems.
• Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
• Apply your research skills to design, code, and test novel AI/ML solutions.
• Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
• Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
• Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
• Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

PhD Intern – AI/ML/NLP Engineer

• You will be a vital member of our ML Data Team.
• Manage resource allocation and timelines, adjusting direction flexibly based on real-time information across all data streams in your product vertical.
• Enhance dataset and process quality through seamless collaboration with vendors and outsourcing partners.
• Establish labeling guidelines, monitor data quality, and improve tools and infrastructure to build a sustainable data operations framework.
• Partner with Engineering and AI Model teams to align on top priority data needs, design tools such as analytical reports and dashboards, and clearly communicate project progress.

Computational Linguist, AI Evaluation

• Provide support for a large-scale, multi-site Electronic Health Record (EHR) system deployment.
• Assist with planning, execution, and coordination of assigned workstreams, ensuring alignment with project goals, timelines, and budgets.
• Report to your workstream lead, collaborating across technical teams, clinical stakeholders, site leadership, and senior management, where necessary.
• Support all phases of deployment, including pre-deployment, go-live, and post-deployment optimization.
• Communicate routinely with key stakeholders to provide updates, address challenges, and maintain momentum on deliverables.
• Cultivate trusted relationships across organizations (client, vendor, and internally) to ensure seamless management of deployment activities.
• Develop deep knowledge of client's practices, policies, and processes to effectively carryout activities within the role’s purview.
• Analyze and process large free-text datasets (primarily response to open ended questions in training and change management surveys) to develop efficient methods for clients to review and interpret feedback and sentiments, identify concerns, recognize positive trends, and pinpoint areas for improvement to inform actionable decisions.

See all jobs on JobTailor

PhD Intern – AI/ML/NLP Engineer

Computational Linguist, AI Evaluation

EHR Natural Language Processing SME