AI/ML Engineer – Research & Development, Associate

Qualifications

• 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, with 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
• Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought)
• 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 with an urgent, results-oriented culture
• A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML space
• Experience using LLM-powered IDEs or coding assistants
• Excellent problem-solving skills and the ability to navigate ambiguity
• Must be able to work full-time from the Bandwidth headquarters in Raleigh, NC

Responsibilities

• Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain
• Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services
• Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings
• Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set
• Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems
• Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies
• Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.)
• to accelerate the innovation cycle
• Clearly articulate and present research findings, experiment results, and prototype demonstrations to technical and non-technical stakeholders

Full Description

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Job Summary:

Bandwidth is a global software company focused on enhancing communication experiences through voice, messaging, and emergency services. They are seeking a highly motivated AI/ML Engineer to join their Research & Development team, where the role involves exploring AI/ML technologies, designing prototypes, and collaborating within a cross-functional team to innovate communication solutions.

Responsibilities:

• Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain.

• Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services.

• Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings.

• Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set.

• Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems.

• Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies.

• Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.) to accelerate the innovation cycle.

• Clearly articulate and present research findings, experiment results, and prototype demonstrations to technical and non-technical stakeholders.

Qualifications:

Required:

• 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, with 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.

• Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).

• Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought).

• 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 with an urgent, results-oriented culture. Significant experience in startups or similar fast-moving, resource-constrained organizations is highly desirable.

• A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML space.

• Experience using LLM-powered IDEs or coding assistants.

• Excellent problem-solving skills and the ability to navigate ambiguity.

• Must be able to work full-time from the Bandwidth headquarters in Raleigh, NC.

Preferred:

• Master’s degree or PhD in Computer Science, AI, ML, or a related field.

• Experience with LLM training, fine-tuning (e.g., LoRa), and/or 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), or LLM tooling/external capabilities.

• Experience with MLOps practices and 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.

Company:

Bandwidth is the universal communications platform that simplifies how businesses deliver integrated global experiences. Founded in 1999, the company is headquartered in Raleigh, North Carolina, USA, with a team of 1001-5000 employees. The company is currently Public Company. Bandwidth Inc. has a track record of offering H1B sponsorships.