Senior Applied Scientist (NLP / Machine Learning)

Apply now

Pendulum is a venture-backed, seed-stage startup that empowers companies and governments to detect, deter, and counteract the impacts of harmful online narratives with machine learning enabled tools. We are currently seeking a Senior Applied Scientist to join our team of talented ML experts, data scientists, and engineers focused on tackling this important societal problem. As part of this team, you will work as a tech leader and subject matter expert responsible for developing solutions to classify harmful content across a unique dataset currently containing over 100M audio and video transcripts.

As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside. 

Your Responsibilities

  • Using machine learning, NLP, NLU, and Computational Linguistic techniques, including recent advances in few-shot learning, to develop models for classifying and discovering harmful narratives in audio and video transcript data
  • Collaborating with other engineers to design and code highly scalable machine learning applications that process large volumes of data
  • Researching and implementing novel new machine learning, and NLP algorithms
  • Contributing to new research, data science, and engineering processes and systems that will allow the team and company to scale in the future

Required Qualifications

  • BS or advanced degree (MS or PhD preferred) in computational linguistics, machine learning, statistics, computer science, engineering, or related technical field or equivalent professional experiences
  • Proven experience in researching, implementing, training, testing, deploying, and monitoring advanced machine learning or NLP/NLU models
  • Deep understanding of core NLP/NLU algorithms, tasks, model architectures, and open-source resources: Neural Networks (BERT, CNNs, Attention, etc,), rules-based approaches. Named Entity Recognition (NER) and Disambiguation, syntactic dependency parsing. Experience with associated tools: spaCy, gensim, NLTK, StanfordNLP; labeling/annotation tools (e.g. Prodigy)
  • Demonstrated knowledge of SQL relational databases and NoSQL databases, along with strong data analysis, manipulation, and cleaning skills.
  • Strong Python skills, preferably with some experience in one or more of the following additional languages: NodeJS, Java, Scala, C++, C#
  • Experience with various machine learning platforms like TensorFlow, PyTorch/Torch, Keras, Scikit-learn, Spacy, Sagemaker, Azure ML, Google ML, Google prediction API

Preferred Qualifications

  • Experience developing, testing, and shipping production software
  • Knowledge of cloud services in AWS, for example EC2, S3, etc
  • Familiarity with distributed source control management system such as GIT
  • Some ability to create data visualizations

About Pendulum

Pendulum is an information forensics company that classifies non-textual, publicly available content to identify the source, message, audience, and evolution of harmful narratives. Our tools help to detect, analyze, track and engage harmful narratives and dis-information that flow across many social media platforms and combat the threats and chaos sewn by bad actors on the social internet.  A sneak peek at our capabilities can be found in reports published on the Pendulum website.

Pendulum values inclusion and diversity and aspires to be among the tech industry’s most inclusive work environments.  We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.

Apply now

Interested applicants should include a resume and cover letter.