秋招推荐岗位 - Facebook
职位1
Front End Engineer, University Grad
Menlo Park, CA/Seattle, WA/
New York, NY
Job ID: FL17742921
KEY RESPONSIBILITIES
- Work with Product Designers to develop Facebook products
- Build efficient and reusable front-end abstractions and systems
- Identify and address performance bottlenecks
- Participate in design and code reviews
- Interact with other team members to incorporate their innovations and vice versa
- Identify and communicate best practices for front-end engineering
BASIC QUALIFICATIONS
- 1 or more years of experience with JavaScript
- 1 or more years of experience with Object Oriented JavaScript Frameworks (Prototype JS, MooTools, Dojo, etc.)
- 1 or more years of experience developing applications with HTML/CSS/JS
职位2
Applied Research Scientist, Enterprise Products (University Grad)
Austin, TX/Menlo Park, CA/
New York, NY
Job ID: FL17742922
KEY RESPONSIBILITIES
- Build pragmatic, scalable, and statistically rigorous scientific solutions for large scale enterprise problems by leveraging or developing state-of-the-art machine learning and optimization methodologies on top of Facebook's unparalleled data infrastructure.
- Work cross-functionally to define problem statements, collect data, build analytical models and deploy them at scale.
- Build and maintain data driven machine learning models, optimization models, experiments and forecasting algorithms.
- Apply excellent communication skills in order to develop cross-functional partnerships and spread scientific best practices.
- Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Facebook's Enterprise Products.
- Think creatively, proactively, and futuristically to identify new opportunities that will grow the enterprise product’s long-term roadmap and bring productivity gains for the enterprise.
BASIC QUALIFICATIONS
- Currently has, or is in the process of obtaining a Masters degree in quantitative field (e.g. computer science, engineering, operations research, electrical engineering, statistics, mathematics and related fields)
- Experience working with machine learning, natural language understanding, computer vision, statistics or mathematical programming tools and techniques
- Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
- Experience with at least one programming language (i.e. Python, R, Java, or C++)
- Experience writing SQL queries
- Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2
- Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano
- Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
- Experience communicating scientific work in a clear and effective manner
职位3
Technical Program Manager, Product Intern
Menlo Park, CA/Seattle, WA/
New York, NY
Job ID: FL17742923
KEY RESPONSIBILITIES
- Articulate the technology, requirements, goals and milestones of your team
- Determine who your customers are and communicate technical requirements to teams you depend on
- Identify product needs in technically complex areas, scope the requirements and partner with engineering to lay out the roadmap
- Ability to work with others on cross-functional software engineering projects that cover a range of areas
- Work with Engineering, Product Management, and other cross-functional teams on project execution
BASIC QUALIFICATIONS
- PCurrently has, or is in the process of obtaining, a Bachelor's or Master's degre
- Knowledge in technical architecture of scalable web applications and/or media products
- Communication experience and experience working with teams on technical projects
- Interpersonal experience, including relationship building and collaboration within cross-functional team
- Analytical experience
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版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。