Junior AI/ML Engineer
Jobright.ai
San francisco,
California,
United States
Information Technology
H-1B
Job posted on August 8, 2025
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Job Description:
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Job Summary: Chime is a financial technology company focused on empowering users to manage and grow their financial lives. They are seeking an AI/ML Engineer to take ownership of AI/ML model development and deployment, contributing to scalable solutions that enhance member experience and support various business functions.
Responsibilities: • Design and implement training pipelines for AI/ML models, including generative models and LLM fine-tuning or prompt engineering. • Own the development and testing of features used in production AI/ML models, including embeddings, vector stores, and retrieval-augmented generation (RAG) pipelines. • Collaborate with data engineers and product teams to scope and refine problem statements, particularly those involving natural language interfaces or content generation. • Conduct model evaluations using offline metrics and online A/B tests for both predictive and generative models. • Write modular, testable, and maintainable code following engineering best practices.
Qualifications:
Required: • 2–4 years of experience in AI/ML engineering or applied data science. • Experience with model training, tuning, and inference workflows in production. • Exposure to large language models (e.g., GPT, LLaMA, Claude) and experience working with foundational models, prompt engineering, or fine-tuning. • Familiarity with RAG architectures, vector databases (e.g., FAISS, Pinecone), and unstructured data processing is a plus. • Familiarity with cloud platforms (AWS preferred), orchestration tools and version control. • Deep understanding of modern AI/ML techniques, including optimization, deep learning and transformer-based architectures. • Proficiency in Python and intermediate to advanced knowledge of SQL, with the ability to wrangle data from diverse sources. • Experience with technologies such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker. • Exceptional communication and collaboration skills, with experience working with stakeholders across product, design, engineering, and marketing.
Preferred: • Familiarity with RAG architectures, vector databases (e.g., FAISS, Pinecone), and unstructured data processing.
Company: Chime is a financial technology company that offers mobile banking services. Founded in 2012, headquartered in San Francisco, California, USA, team size 1001-5000 employees, currently Public Company. Chime has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Chime is a financial technology company focused on empowering users to manage and grow their financial lives. They are seeking an AI/ML Engineer to take ownership of AI/ML model development and deployment, contributing to scalable solutions that enhance member experience and support various business functions.
Responsibilities: • Design and implement training pipelines for AI/ML models, including generative models and LLM fine-tuning or prompt engineering. • Own the development and testing of features used in production AI/ML models, including embeddings, vector stores, and retrieval-augmented generation (RAG) pipelines. • Collaborate with data engineers and product teams to scope and refine problem statements, particularly those involving natural language interfaces or content generation. • Conduct model evaluations using offline metrics and online A/B tests for both predictive and generative models. • Write modular, testable, and maintainable code following engineering best practices.
Qualifications:
Required: • 2–4 years of experience in AI/ML engineering or applied data science. • Experience with model training, tuning, and inference workflows in production. • Exposure to large language models (e.g., GPT, LLaMA, Claude) and experience working with foundational models, prompt engineering, or fine-tuning. • Familiarity with RAG architectures, vector databases (e.g., FAISS, Pinecone), and unstructured data processing is a plus. • Familiarity with cloud platforms (AWS preferred), orchestration tools and version control. • Deep understanding of modern AI/ML techniques, including optimization, deep learning and transformer-based architectures. • Proficiency in Python and intermediate to advanced knowledge of SQL, with the ability to wrangle data from diverse sources. • Experience with technologies such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, and Looker. • Exceptional communication and collaboration skills, with experience working with stakeholders across product, design, engineering, and marketing.
Preferred: • Familiarity with RAG architectures, vector databases (e.g., FAISS, Pinecone), and unstructured data processing.
Company: Chime is a financial technology company that offers mobile banking services. Founded in 2012, headquartered in San Francisco, California, USA, team size 1001-5000 employees, currently Public Company. Chime has a track record of offering H1B sponsorships.