Bandwidth
Communications
AIEngineer(Research&Development)
“AI Engineer (Research & Development) at Bandwidth. Skills: AI, Machine Learning, LLMs, Python. Dive deep into AI/ML research. Identify opportunities”
What You'll Achieve.
Define the next generation of communication experiences; Deliver exceptional experiences; Crush the mission
Industry & Context.
Solve real-world problems; Excellent problem-solving skills; Navigate ambiguity
Work full-time from Raleigh office
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, AI, ML, or a related technical field, or equivalent practical experience, Demonstrable expertise and hands-on experience in Artificial Intelligence and Machine Learning, Deep knowledge in at least one specific AI domain (e.g., NLP, LLMs, Speech Recognition), Proven experience (typically 3+ years) designing, building, and evaluating AI/ML models and systems, Programming skills, particularly in Python, Familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face), Solid understanding and practical experience with Large Language Models (LLMs), Experience implementing services or applications built on top of foundational LLMs (via APIs or open-source models), Proven ability to thrive in a small, highly collaborative team environment, Experience using LLM-powered IDEs or coding assistants, Excellent problem-solving skills, Ability to navigate ambiguity, Must be able to work full-time from the Bandwidth headquarters in Raleigh, NC
Nice to Have
Master’s degree or PhD in Computer Science, AI, ML, or a related field, Experience with LLM training, fine-tuning (e.g., LoRa), Developing custom evaluation benchmarks, Familiarity with advanced AI architectures and concepts such as agentic systems (e.g., ReAct), Multi-modal models, Mixture of Experts (MoE), LLM tooling/external capabilities, Experience with MLOps practices, Cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform), Familiarity with AI Developer and Agentic Frameworks (e.g., OpenAI, LangChain, CrewAI, Autogen), Experience contributing to AI/ML research, publications, or open-source projects
What You'll Do.
Dive deep into AI/ML research
Identify opportunities
Design proof-of-concepts
Test proof-of-concepts
Implement AI/ML models
Integrate AI/ML models
Experiment with AI techniques
Evaluate methodologies
Leverage LLM-powered IDEs
Accelerate innovation cycle
Articulate research findings
Present experiment results
Demonstrate prototypes
How You'll Work.
Team & Collaboration
Collaborate intensely within a small, cross-functional R&D team; Share knowledge; Contribute to a T-shaped skill set; Work closely with product; Collaborate with stakeholders
Communication Scope
Clearly articulate and present research findings; Present experiment results; Demonstrate prototype demonstrations
Applying for this AI Engineer (Research & Development) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Bandwidth?
Real rants from real employees. Read before you apply.