Machine Learning Software Engineer — Applied Research
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
- 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.
Engineering Hiring Process
Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.
If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.
If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.
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