101-250 employees
Public
Big Data & Analytics
Communications
Consumer
Digital Platform
Mobile
SaaS

Twitter Company Overview

Twitter connects everyone to what's happening in the world right now. It's where movements form, news breaks and change happens, all in real time. The world has seen this with conversations around #BlackLivesMatter, #SheInspiresMe, #LoveIsLove, #OrlandoStrong, #BlackWomenDidThat, and many more.

Our Boston office is home to teams working on TV, video and data science who give our creators the ability to show the world what's happening, all across the world, live, as it unfolds. 

About TV and video:
We handle real-time analysis of dozens of TV networks, pushing the boundary on real-time audio and visual pattern recognition and analytics.

 
About data science at Twitter:
We measure and understand satisfactions and motivations of our users that informs product and marketing strategy and helps power core systems at Twitter.
 
Join us on the right coast and do work that matters. Apply here.

Jobs at Twitter

 

Job Category

7 Jobs Listed
Cambridge |

Who We Are

Twitter’s QA Engineering team is seeking a strong, talented Software Engineer in Test to help create and deliver cutting edge applications used by millions of people around the world.  This position is based in our Boston office.

What You'll Do

  • Design, develop and maintain functional, regression, integration and end-to-end tests using Java and Scala

  • Think strategically to improve testing processes and help define best practices while providing high quality and scalable solutions

  • Maintain and enhance automation frameworks that can be used by both Development and QA.

  • Work closely with 1 or more development teams to support back end, infrastructure and analytics testing

  • Designing and implementing end-to-end test scenarios

Who You Are

We’re looking for a Software Engineer in Test with strong programming and test automation experience.

  • Have 5+ years of programming experience in Java

  • Have 2+ years of SWE Test experience   

  • Have a can-do, do what needs to be done attitude

  • Have the ability to shift priorities quickly and multi-task

  • Are a fast learner with good problem solving and analytical skills

  • Have excellent communication, presentation, and interpersonal skills

Cambridge |

Who we are

Twitter users generate many terabytes of data every single day; Twitter engineers run hundreds of experiments; Twitter data scientists craft increasingly sophisticated models of users and content.

The  Applied Research team at Twitter works to measure and understand the satisfaction and motivations of our users.  Applied Research is part of the larger Analytics team at Twitter. From modeling individual user behavior to characterizing user populations, our work powers core systems at Twitter and helps inform product strategy. To develop a deep understanding of our users, we use machine learning, statistical modeling, data mining, time series modeling, and many other analytical techniques; we build prototypes; and we perform experiments — all applied at the scale of Twitter.

What you’ll do

You will work as an integral part of our data science team to develop and implement models, algorithms, and systems that can be applied at scale to Twitter data. Examples of the kind of work you might do include building deep neural networks to classify Twitter users and content, large-scale graph and matrix factorization, recommendation algorithms, or time-series models on user log data. You’ll work with both engineers and data scientists on the team and elsewhere at Twitter.

Who you are:

You probably have

  • Several years of experience working in machine learning
  • An advanced degree (masters, PhD) in machine learning
  • Strong interest and experience in machine learning, including deep learning, building classifiers, natural language processing (NLP), pattern recognition algorithms, and recommender systems
  • Experience with large datasets and modern data processing systems like Hadoop, Spark, Hive, and Presto
  • Good communication skills, a pragmatic approach to problem solving, and a strong quantitative background
  • Some experience with software engineering best practices (e.g., unit testing, code reviews, design documentation)
  • Knowledgeable of core CS concepts such as data structures, algorithms, and optimization

Requirements

  • Bachelors degree or higher in Computer Science or related field with coursework in machine learning (or equivalent work experience)
  • Strong software development experience (e.g., in Scala, Java, C++, etc.)
  • Strong machine learning/data analysis experience (e.g., in Python, R, Matlab, etc.)
  • 3+ years of educational or work experience in machine learning, artificial intelligence, statistics, or related fields

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Cambridge |

Who We Are

We are looking for a Sr. Facilities Office Coordinator to be located in our Cambridge, MA office. This role will report to the REW Regional Manager for Americas East Operations.

You’re very comfortable in a fast-paced environment with the highest standards of excellence. You know how to have fun at work, and bring enthusiasm, dedication and a collaborative spirit to build and maintain innovative office spaces that facilitate one of the world’s most important platforms.

This role is critical in promoting culture and creates and elevates programs and amenities that make employees love coming to work every day. Must have a passion for supporting and maintaining a world-class workspace that inspires staff to do their best work.  #LoveWhereYouWork

What You’ll Do

  • Provide the ultimate Guest Experience to everyone who comes to our offices! Greet all visitors and process through Twitter’s digital guest system. Provide hospitality and notify host employee. Maintain a clean and attractive reception lobby.
  • Serve as primary contact for all deliveries coming into building. Manage shipping and receiving for business mail, notifying recipients as required.
  • Manage all office requests using Twitter’s internal work order ticketing system. Respond in a timely manner per the established department metrics. Answer questions and perform tasks as requested. Escalate when necessary. Engage outside parties as required to fulfill tasks (repairs, etc.) Ensure that top customer service levels are being met via prompt, friendly response.
  • Maintain office floor plan, seating and headcount charts. Coordinate approved moves. Provide reporting as requested.
  • Onsite point of contact for vendor relations. Ensure providers are meeting contract Service Level Agreements (SLAs). Onboard new vendors, establish Purchase Orders (POs), and be point person for any payment or invoicing issues. Responsible for providers of food services, office supplies, interior plants, appliances, furniture, fish tank, parking, pest control, janitorial, maintenance, shipping, carting, movers, ergonomic adjustments and HVAC.
  • Act as Twitter’s suite liaison with Building Management staff to coordinate Building Services, amenities, etc. and relaying messaging on behalf of Building Management to staff regarding office closures, parking garage, building repairs, etc.
  • Review all vendor invoices, work with providers if any discrepancies.
  • Develop office Annual Operating Expense (OPEX) budget, manage to it, work with Regional Manager and Finance/FP&A on quarterly analysis and reforecasting.
  • Onsite point of contact for subtenant(s).  Coordinate any landlord approval for work as required.
  • Participate in menu planning sessions and provide input on food service program.
  • Manage staff parking accounts, collect payment and maintain records.
  • Coordinate company New Hires and Departures with HR, IT and Security.
  • Inventory, order, and replenish stationery stock as required.
  • Ensure that conference rooms, print areas, kitchen and all common spaces are tidy, in working order and and well stocked.
  • Work closely with local leadership on all business unit needs. Provide high ­touch service in response to requests or issues from leadership. Support culture of office in communication and action.
  • Work with Global Design & Construction function within REW on any office improvement projects.
  • Provide support for events within the office. Plan, organize and execute approval internal and office events as directed. Coordinate food with onsite provider, or external supplier as necessary. Coordinate logistics and space setup. Work with janitorial staff to make sure all spaces are prepped for events and promptly cleaned and reset after. Work with Security and to coordinate all guest access to space to ensure a positive guest experience. Liaise with ITSys for any A/V or IT needs. Team with Global Events team as necessary on applicable events.
  • Plan and coordinate two off-site events per year - Summer Picnic and Holiday Party.
  • Other similar responsibilities, consistent with the above, to be assigned.
  • Manage and interact with subtenants where applicable.

Who You Are

  • Proven ability work under pressure and adapt to rapidly changing business environment.
  • Qualified candidate will have a track record of maintaining and tracking processes and procedures for facilities support.
  • Demonstrated analytical skills necessary for the collation of data and production of information in a corporate setting.
  • Proven ability to manage internal customer relationship with an emphasis on prompt, respectful service.
  • Strong written and verbal communication with an emphasis on prompt, friendly communications.
  • Proven ability to work across different time zones and remotely manage people and operations.

Requirements

  • BA/BS degree in business, management, operations or equivalent combination of education and related experience.
  • Min 3 years experience in facilities management operations in the Americas region. Prior experience supporting special events a plus.
  • Prior subtenant experience a plus.
  • Ability to lift 25 lbs.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Cambridge |

Help us continually improve our understanding of the vast number of tweets flowing through our platform so that we can delight our users with best-in-class product experiences.

Who We Are

Twitter wants to delight its users with meaningful and relevant content. We believe that content understanding is necessary for this and that content understanding all starts with understanding the world that we are all a part of.

We are an agile team that is passionate about enabling awesome experiences for Twitter users with the results of our work. We build low latency data ingestion pipelines to bring realtime data into Twitter, big data pipelines to gain insights into vast amounts of data, low latency services to classify content and bring our data to Twitter product services, and vast suites of rich tooling to bring all of this together with human insight. We have many difficult challenges ahead and need your help to drive visible product impact with our data!

What You’ll Do

You will join a team of engineers who love what they do and work with them to deliver astonishing amounts of products with higher quality than anyone could do individually. You will build high throughput systems, highly efficient user focused UIs, and work with vast amounts of data. You will be faced with many challenges that need creative problem solving and novel applications of state-of-the-art technologies. Someone in this role is expected to mentor others at times, but also to be mentored by others in order to grow. Most importantly, you’ll be expected to keep our internal and external customers in mind and build meaningful products focused on them.

Who You Are

We are looking for someone with a strong technical background who loves solving new and challenging problems. The ideal candidate would have a demonstrated history of owning their work and building all parts of a solution in order to delight their customers.

If this sounds like it might be you, you probably also:

  • Are able to effectively communicate technical ideas to others
  • Can work across the entire web stack from browser to backend
  • Love thinking about systems scalability
  • Enjoy showing off the latest UI you’ve built out

Requirements

  • BA/BS in Computer Science or equivalent experience
  • A strong technical background with experience using modern web technology like ES6, React, Redux, HTML5, LESS/SASS
  • Experience building backend services with some server-side technology such as Java, Scala, or Node.js.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Cambridge |

Who We Are:

Twitter users generate many terabytes of data every single day; Twitter engineers run hundreds of experiments; Twitter data scientists craft increasingly sophisticated models of users and content.

The  Applied Research team at Twitter works to measure and understand the satisfaction and motivations of our users. Applied Research is part of the larger Analytics team at Twitter. From modeling individual user behavior to characterizing user populations, our work powers core systems at Twitter and helps inform product strategy. To develop a deep understanding of our users, we use machine learning, statistical modeling, data mining, time series modeling, and many other analytical techniques; we build prototypes; and we perform experiments — all applied at the scale of Twitter.

What You’ll Do:

You will be a key member of the  Applied Research team working closely with our partners in engineering, product, design, and user research. Your work will directly influence the exciting new product areas that Twitter is building.

As such, you will:

  • Conduct analyses to learn from our vast amount of data, including exploratory data analysis, investigating A/B test results, observational and network data analysis, etc.
  • Apply advanced statistical and machine learning techniques to model user behavior, identify causal impact and attribution, and build and benchmark metrics
  • Use tools for interacting with large datasets such as Hadoop, Spark, and Presto
  • Use Python or R (or similar) to conduct complex data analyses
  • Use data visualization tools (e.g. Tableau or Zeppelin)
  • Communicate findings to executives and cross-functional product teams

Who You Are:

  • You communicate your findings clearly and empathetically to a wide audience of relevant partners and are capable of building meaningful presentations and analyses that tell a “story”.
  • You’re capable of collaborating with our business, engineering, and research colleagues to discover new opportunities that benefit Twitter.
  • You’re a pragmatic problem solver with a strong quantitative background and passion for deriving insights from data.
  • You’re a self-starter who takes initiative and is capable of learning on the job.
  • You have experience owning complex projects from start to finish.
  • You’re excited to learn and apply new data analysis techniques and tools.

Requirements:

  • Masters or Ph.D dealing with quantitative analysis or commensurate work experience
  • Strong proficiency with at least one programming language such as Python, R, Java, Scala
  • Experience using quantitative data analysis to solve problems and answer questions

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Cambridge |

Twitter's Consumer Product Teams are responsible for core features of twitter.com, which includes Timelines, Tweets, Search, Trends, Recommendations, Notifications, Tweet details/permalink, and more! Our code operates at massive scale and speed, serving billions of requests per day, connecting hundreds of millions of active Twitter users to real-time information about their lives and the world we live in.

Who We Are:

At Twitter, our mission is to instantly connect users to the information most meaningful to them.  Realizing this involves work in areas such as machine learning, applied data science, recommendation systems, information retrieval systems, natural language processing, large graph analysis, spam, etc.

The team’s mission is to show users the content they care about. We build relevance and machine learning models and systems to power the core of the Twitter product. Every time users see new tweets we evaluate candidates from the nearly half a billion daily tweets to select, organize and deliver the best timeline. The recent products and technologies built by our team have shown consistent results in driving retention and are some of largest contributors of engagements on the platform.

What You'll Do:

Although you will work on cutting-edge problems, this position is not a research position. You will participate in the engineering life-cycle at Twitter, including designing distributed systems, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams. You’ll apply data science, machine learning and/or graph analysis techniques to a variety of modeling and relevance problems involving users, their relationships, their tweets and their interests.

Who You Are:

You’re a relevance engineer, applied data scientist or machine-learning engineer who wants to work on exciting algorithmic and deep infrastructure issues. You’re experienced solving large scale relevance problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements.

  • Knowledgeable in one or more of the following: machine learning, information retrieval, recommendation systems, social network analysis
  • Designed and evaluated approaches for handling high-volume real-time data streams.
  • A strong technical advocate with a background in Java, C++, or  Scala, and Python.
  • Comfortable conducting design and code reviews.
  • Experienced in operating Linux-based systems.
  • Knowledgeable of core CS concepts such as: common data structures and algorithms, profiling/optimization.
  • Passionate about working with large unstructured and structured data sets ( for example multi-terabyte+, 100MM+ daily transaction volumes).
  • Experienced in collaborating across multiple teams including analytics, product management, and operations.

Requirements:

  • B.S., M.S. or Ph.D. in Computer Science or equivalent degree and work experience.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

Cambridge |

Who We Are

Our team at Twitter collects, aggregates, and serves video analytics data from — iOS, Android, and web. Our mission is to provide reliable, accurate, and timely data to support internal decision makers as well as to be used in end user products.

We are a team of talented and passionate individuals from all over the world and from many different backgrounds, working together to build products reaching every person on the planet. We go beyond our daily work to also develop relationships, with activities such as game nights, foosball, and team outings. We keep our teams small to encourage impactful contributions from all while promoting meaningful collaboration. We will both challenge and support you to do the best work of your career.

What You’ll Do

As an iOS Software Engineer on the Video Data Infrastructure team, you will:

  • Work with some of the best people in the industry to build and maintain efficient client libraries.
  • Write highly scalable software in Objective-C with a focus on reusability and efficiency.
  • Build features that will be immediately used by millions of passionate users on Twitter and Periscope.
  • Develop strong skills and best practices while collaborating with design, product, and your teammates.
  • Take an active role in defining how our team works together, and how our products work.
  • Using data and customer insight to help plan, prioritize and analyze the results of features, you’ll do more than just write code.
  • Embrace opportunities to learn from Twitter’s community of talented engineers designers, researchers, and community managers, as well as teach others your strengths.

Who You Are

  • You have a detailed knowledge of iOS and mobile development.
  • You have experience in building, debugging, and profiling iOS applications in Objective-C.
  • You are customer-focused and understand that shipping impactful software involves trade-offs and collaboration.
  • You are a self-starter; you have a strong sense of ownership and curiosity to learn and understand how things work, and share your learning with the rest of the team.
  • You value close collaboration within a team, and approach conflict with the intention to find a solution.
  • You have experience working closely across a variety of teams including backend, design, and product management.
  • You have a track record of delivering reliable, efficient software and systems.
  • You want to work on a product used by millions of people every day.

Qualifications:

  • B.S. or higher in Computer Science or equivalent work experience.

Bonus points:

  • Have released production applications to the App Store.
  • Experience with AppCode.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

141 Portland St, 6th Floor
Cambridge, MA 02139
How we approach the world

How we approach the world

We're building a platform where all voices can be heard, creating fun ways for people to express themselves, and growing our business in a way that makes us proud.

 
 
How we do our work

How we do our work

We innovate, experiment, and move at a fast pace. We’re a learning organization with a growth mindset, and we’re always looking for ways to improve our product and ourselves.

 
 
How we collaborate

How we collaborate

Passion and personality matter. You’ll work with creative and curious people across the globe, and we want you to feel comfortable being yourself every day you're here.  

Read About Us

Office Tours
March 14, 2017