APPLIED RESEARCHER
(NLP / MACHINE LEARNING)

APPLIED RESEARCHER
(NLP / MACHINE LEARNING)

Anywhere in the world, but Seattle, WA is ideal

Anywhere in the world, but Seattle, WA is ideal

WHO WE ARE:

Xembly is an early-stage software startup transforming the multibillion-dollar software productivity space by solving the #1 problem for every worker on the planet: bad and unnecessary meetings. We are backed by some of the world’s best venture capital firms and growing fast.

We are establishing a team of talented machine learning and NLP experts, data scientists, and engineers to automate how employees can optimize their interactions with meetings they own or attend. We’re looking for people who pride themselves on being innovative and agile, while simultaneously willing and able to build highly reliable software in a team-oriented environment.

WHO WE ARE:

Xembly is an early-stage software startup transforming the multibillion-dollar software productivity space by solving the #1 problem for every worker on the planet: bad and unnecessary meetings. We are backed by some of the world’s best venture capital firms and growing fast.

We are establishing a team of talented machine learning and NLP experts, data scientists, and engineers to automate how employees can optimize their interactions with meetings they own or attend. We’re looking for people who pride themselves on being innovative and agile, while simultaneously willing and able to build highly reliable software in a team-oriented environment.

YOU WILL HAVE OWNERSHIP OF:

  • Using machine learning, NLP, NLU, and Computational Linguistic techniques to automate the extraction and creation of core meeting assets including agendas, action items, decisions, and meeting recaps.
  • 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
  • Building features that make it easier for employees at all levels of an organization to optimize their meetings for high performance

YOU WILL HAVE OWNERSHIP OF:

  • Using machine learning, NLP, NLU, and Computational Linguistic techniques to automate the extraction and creation of core meeting assets including agendas, action items, decisions, and meeting recaps.
  • 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
  • Building features that make it easier for employees at all levels of an organization to optimize their meetings for high performance

YOU HAVE THE FOLLOWING SKILLS AND EXPERIENCE:

  • 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
  • 5+ years of 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

YOU HAVE THE FOLLOWING SKILLS AND EXPERIENCE:

  • 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
  • 5+ years of 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

NICE TO HAVES:

  • Published academic work in core machine learning (ML), NLP disciplines and/or open-source NLP software contributions
  • 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
  • Experience with big data and streaming technologies like Hadoop, Spark, Kafka, and Storm
  • Some ability to create data visualizations

NICE TO HAVES:

  • Published academic work in core machine learning (ML), NLP disciplines and/or open-source NLP software contributions
  • 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
  • Experience with big data and streaming technologies like Hadoop, Spark, Kafka, and Storm
  • Some ability to create data visualizations

OUR EXPECTATIONS OF YOU:

  • You’re insanely passionate about building innovative products that delight customers
  • You execute like crazy and get a lot done
  • You care; about the company, customer product, and team
  • You have an awesome sense of humor and love to leave work every day with a smile
  • You never whine or complain. You try and instigate change or disagree and commit
  • You aren’t interested in playing politics
  • You dare to disagree and seek out constructive conflict

OUR EXPECTATIONS OF YOU:

  • You’re insanely passionate about building innovative products that delight customers
  • You execute like crazy and get a lot done
  • You care; about the company, customer product, and team
  • You have an awesome sense of humor and love to leave work every day with a smile
  • You never whine or complain. You try and instigate change or disagree and commit
  • You aren’t interested in playing politics
  • You dare to disagree and seek out constructive conflict

If you’re interested in this or another position at Xembly, please send your resume to jobs@xembly.com and reference the position you’re interested in.

If you’re interested in this or another position at Xembly, please send your resume to jobs@xembly.com and reference the position you’re interested in.