10 дней назад
Machine Learning Intern (Masters) (AI)
130 600 - 192 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Machine Learning Intern (Masters) (AI): Developing applied machine learning models and research for DoorDash’s logistics marketplace with an accent on NLP, recommender systems, ranking, computer vision, causal inference, and big data analytics. Focus on analyzing large datasets, implementing research ideas, and building efficient models that improve discovery, advertising, forecasting, fulfillment, and search experiences.
Location: San Francisco, Sunnyvale, New York City, or Seattle offices in the United States; 12-week summer internship program.
Salary: $130,600–$192,000, $159,800–$235,000, or $193,800–$285,000 USD annually, depending on market and work location. Equity opportunities are also available.
Company
operates an on-demand logistics engine and a three-sided marketplace connecting consumers, merchants, and delivery workers.
What you will do
- Conduct machine learning and artificial intelligence research for engineering teams.
- Apply research in areas including auction and game theory, recommender systems, ranking, AdTech, computer vision, causal inference, and big data analytics.
- Use ML, NLP, recommender systems, ranking, graph analysis, and related methods to solve problems in discovery, advertising, forecasting, fulfillment, and search.
- Collect, analyze, and synthesize data to build relevant machine learning models.
- Develop clean, efficient, and sustainable code and contribute research ideas that improve product experiences.
Requirements
- Working toward a master’s degree in computer science, machine learning, NLP, statistics, information sciences, or a related field.
- Expected graduation between Fall 2027 and Summer 2028.
- Mastery of at least one systems language: Java, C++, Python, Kotlin, or Go; or one ML framework: TensorFlow, PyTorch, or MLflow.
- Research experience and a background in solving analytical problems.
- Strong communication and teamwork skills, with an interest in applied machine learning and the product.
Nice to have
- Publications in machine learning, AI, data science, data analytics, statistics, or a related technical field.
Culture & Benefits
- Research collaboration and mentoring opportunities.
- 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits, and paid time off.
- Medical, dental, and vision insurance, paid holidays, disability and life insurance, family-forming assistance, and mental health support.
- Benefits and base salary are localized according to work location and applicable market conditions.
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