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Junior AI/ML Engineer
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Junior AI/ML Engineer
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
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Junior AI/ML Engineer
role at
Jobright.ai Join to apply for the
Junior AI/ML Engineer
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Machine Learning Engineer” roles.
San Francisco, CA $149,998.00-$250,000.00 5 days ago San Francisco, CA $140,670.00-$195,400.00 4 days ago Research Engineer - Machine Learning (ML)
San Francisco, CA $180,000.00-$240,000.00 2 weeks ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $160,000.00-$185,000.00 2 weeks ago Machine Learning Scientist, NLP (All Levels)
San Francisco, CA $200,000.00-$300,000.00 5 months ago San Francisco, CA $150,000.00-$260,000.00 5 months ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $88,000.00-$140,000.00 1 month ago San Francisco, CA $120,000.00-$180,000.00 2 weeks ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Redwood City, CA $167,200.00-$250,800.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $180,000.00-$270,000.00 4 months ago San Francisco, CA $140,000.00-$290,000.00 8 months ago San Francisco, CA $140,000.00-$170,000.00 2 days ago San Francisco, CA $190,000.00-$355,000.00 3 weeks ago San Francisco, CA $175,000.00-$225,000.00 9 months ago San Francisco, CA $100,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr