Applied AI & ML Engineer at Bose Corporation in US, MA - Framingham

Summary: Bose Corporation is a leader in audio technology and innovation, dedicated to transforming lives through sound. They are seeking an entry-level Applied AI & ML Engineer to contribute to the development of production-ready AI systems and applications, focusing on deploying AI capabilities and modern AI solutions. Responsibilities: - Partner with stakeholders and cross-functional teams to translate business needs into AI/ML and GenAI products - Work with structured and unstructured data (e.g., text, customer feedback) to support model development, evaluation, and insight generation - Contribute to building and deploying AI-powered solutions, including LLM-based applications (e.g., RAG, summarization) and predictive models - Design and implement data and ML pipelines that enable reliable, scalable processing and integration of AI capabilities into production systems - Support MLOps practices by helping to operationalize models and applications (e.g., deployment workflows, monitoring, versioning, and performance tracking) Required Qualifications: - Bachelor's degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, or a related discipline - 0–2 years of experience (internships, co-ops, or projects) in AI, machine learning, data science, or software engineering - Proficiency in Python and SQL - Experience writing clean, maintainable, and well-documented code - Foundational understanding of machine learning concepts and workflows - Exposure to NLP and/or Generative AI, including familiarity with LLMs or transformer-based models - Basic understanding of software engineering practices (e.g., Git, version control) - Strong problem-solving skills and ability to learn new technologies quickly - Effective communication skills and ability to work in a collaborative environment Preferred Qualifications: - Hands-on experience through internships, academic projects, or competitions - Familiarity with LLM frameworks and tooling (e.g., OpenAI APIs, LangChain, Hugging Face) - Exposure to RAG architectures, semantic search, or text-based AI applications - Experience with cloud or data platforms (e.g., Databricks, Snowflake) - Basic understanding of MLOps concepts (e.g., MLflow, model deployment, monitoring) - Experience building simple applications (e.g., Streamlit or similar frameworks) - Familiarity with API development and integration Required Skills: Python, SQL, Machine learning, Natural language processing, Generative AI, Large language models, Software engineering practices, Git, MLOps Benefits: Bonus programs, Comprehensive health and welfare benefits, A 401(k) plan, Exclusive perks designed to support your wellbeing, A generous employee discount where you can immerse yourself in our products and experiences