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Machine Learning Engineer Intern ((COMPANY NAME)-Data-Plus-Fundamentatal Recommendation and Social Recommendation) - 2024 Start (BS/MS)

Azienda non indicata
Costa Rica  San Jose, Costa Rica
Stage, Ingegneria, Inglese
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Descrizione del lavoro:

Responsibilities

(COMPANY NAME) is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. (COMPANY NAME) has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of (COMPANY NAME)'s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make (COMPANY NAME) possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At (COMPANY NAME), we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Team Introduction:
Our team designs, implements and improves the recommendation algorithm that powers the for you feed, following feed, friends feed, people and friends recommendation, new user recommendation, etc of the (COMPANY NAME) app. We stay up-to-date with the latest technology in machine learning/deep learning and apply this knowledge to tackle complex problems in innovative ways, including but not limited to CV/NLP, reinforcement learning, multi-task learning, graph neural networks, multi-objective optimization, information retrieval, learning to rank, user interest modeling, sequential recommendation, watch-time modeling. Our team is at the intersection of cutting-edge machine learning research and the large scale end to end recommendation system. We take pride in finding the right balance between solid research, elegant system
design and being pragmatic.

We are looking for talented individuals to join us for an internship in 2024. Internships at (COMPANY NAME) aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at (COMPANY NAME).

Internships at (COMPANY NAME) aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2024. Successful candidates must be able to commit to one of the following summer internship cycles below:
1.May 20, 2024 to August 9, 2024
2.May 28, 2024 to August 16, 2024
3.June 10, 2024 to August 30, 2024
We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to (COMPANY NAME) and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
- Deliver end-to-end machine learning solution to address critical product challenges;
- Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance.
- Work with cross functional teams to design product strategies and build solutions to grow (COMPANY NAME) in important markets.

Qualifications

- Bachelor degree or above in computer science or a related major
- Able to commit to working for 12 weeks starting May 2024
- Strong software development experience with C++, Python or other programming language;
- Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:
- Graduating December 2024 onwards with intent to return to degree-program after the completion of the internship.
- Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
- Strong communication and teamwork skills;
- Passion about techniques and solving challenging problems.

(COMPANY NAME) is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At (COMPANY NAME), our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

(COMPANY NAME) is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at earlycareers.accommodations@(COMPANY NAME).com

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.(COMPANY NAME).com/legal/privacy.

Job Information:

【For Pay Transparency】Compensation Description (hourly)
The hourly rate range for this position in the selected city is $59- $59. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.​
Our time off and leave plans are: Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.​
We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

Provenienza: Web dell'azienda
Pubblicato il: 18 Feb 2024
Tipo di impiego: Stage
Settore: Internet / New Media
Durata di lavoro: 3 mesi
Lingue: Inglese
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