Job Description

Data Science / Machine Learning Intern

BoldVoice (YC S21) is an accent training app that empowers non-native English speakers to speak clearly and confidently. Users watch video lessons on pronunciation from Hollywood accent coaches, and improve their fluency by practicing and getting instant feedback from the app's speech artificial intelligence.

We are a small, nimble team, with a big mission to help 1 billion people improve their English skills and advance their careers.

Role and Responsibilities

We are looking for a data science / machine learning intern to support our core speech AI and ML product initiatives. If you're analytical, detail-oriented, and excited about working with real-world AI systems in production, this role is for you.

Responsibilities include:

• Rigorously test our proprietary pronunciation scoring models to identify edge cases, biases, and performance anomalies
• Support data cleaning, labeling, and preprocessing workflows for model training and evaluation
• Collaborate closely with ML engineers to triage and debug model-related issues
• Improve internal tools, dashboards, and documentation used for data analysis and model QA

Qualifications:

• Current student or recent graduate (BA/BS/MS) in Computer Science, Data Science, Statistics, Linguistics, or a related field
• Prior experience or coursework in data analysis, ML, or NLP strongly preferred
• Familiarity with Python and basic data science tools (e.g., pandas, Jupyter, NumPy); bonus for SQL or PyTorch/TensorFlow
• Bonus: knowledge of phonetics, speech technology, or the International Phonetic Alphabet (IPA)
• Strong attention to detail, curiosity, and the ability to break down complex problems
• Self-starter mindset: organized, scrappy, and able to work independently with minimal oversight
• Must be US-based, NYC-local, and able to work in person (remote candidates will not be considered)
• Must be able to dedicate at least 20 hours/week (ideally more)

Compensation & Perks

• Paid internship: You will be paid an hourly rate
• AI experience: You will be part of a ML engineering team training cutting-edge voice models
• In-person immersion: You will work from our office in the Manhattan (Noho), and see firsthand how a fast-growing startup operates.

How to Apply

• Share your resume
• Share your availability (start date, end date, and number of hours per week)
• Download the app, go through the onboarding, assessment, and first practice session, and provide suggestions for how the experience or pronunciation model output could be improvedfrom a product, UX, or ML perspective.

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