8 May: FYI -- NLP/ML job (Dublin, IE; San Francisco, US)
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We're looking for an SFI post-doc fellow in the area of NLP and ML, with
potential for them to work in Dublin or SF. Contact donnamarie@woebot.io
Senior Data Scientist at Woebot
*Our mission is to make the best mental health tools radically accessible
to everyone. *
*We are a venture-backed company based in San Francisco, though we’re
looking for a mission driven and passionate Senior Data Scientist to our
growing team in Dublin, Ireland.*
We are a venture-backed startup building tools to help people monitor and
regulate their moods. Our tools are powered by the latest research in NLP
and ML, use scientifically proven techniques from Cognitive Behavior
Therapy, and is based on 10 years of digital mental health research at
Stanford University. We are pioneering a new era in mental health care
that is using technology to alleviate suffering at scale. Data science,
evidence-based clinical research, and world-class beautiful conversational
interfaces are the three pillars of our engine. Your ability to find
structure in the complex emotional interactions of over one million
messages exchanged every week will help provide the fuel that will help us
get there.
*What you will do:*
As a senior data scientist, you will work cross-departmentally with data,
product, and engineering team members to build machine learning and AI
algorithms that are the core of Woebot’s intelligence. There are four areas
we want the Data Scientist to own and drive:
1. *Conversational Engine*: Build machine learning models that enable
Woebot to more naturally converse with and understand users. Combine intent
classifiers, chit chat, and task-oriented models that help users achieve
their goals of feeling happier while also feeling natural and
conversational.
2. *Insight*. Advise on data labeling strategies so that Woebot’s
conversational engine is continuously improved and informs changes in
features, content, and UX. Help create data analysis and analytics
pipelines that improve not only the underlying ML algorithms but also the
product and the user’s experience. Strong ETL skills, including
experience with the creation of analytics dashboards and BI tools such as
BigQuery, Google Data Studio, or Tableau.
3. *Personalization*: Create user profiles and build models that define
how Woebot interacts with each user. We consider personalization to be key
for developing a relationship over time, and delivering precision
intervention - that is, methods that are tailored to each user.
4. *Evidence*: Partner with major universities and institutions to
advance basic psychological science by measuring the effects that Woebot
delivers to users every day. Create an ongoing apparatus for evaluation
that shows which interactions are beneficial for humans and that provide
effective outcomes.
*You will bring with you:*
- Masters or PhD in Data Analysis or Machine Learning or related
technical field with 2+ years of applied experience
- Strong background in one or more of the following areas: machine
learning, natural language processing, large-scale data mining or
artificial intelligence
- Knowledge of one or more modern ML/NLP frameworks, such as PyTorch,
Tensorflow, or Keras
- Strong experience deploying systems into production, at scale
- Experience with Docker, Kubernetes or cloud deployment pipelines a plus
- Agile go-to-market product mindset: we do research and we innovate,
but we also ship often
- Strong written and verbal communication skills
*How you will add to our culture:*
- *Strong work-ethic:* Works hard to get a job done.
- *Proactive & flexible*: Able to hit the ground running, takes
responsibility for finding a way to get the job done.
- *Empathic*: Place a high value on user-experience, are a team player
motivated to help others be successful.
- *High standards: *Applies high standards toward everything.
- *Humble*: You want to learn and grow in the role, and are open to
feedback on how to do that.
*Benefits*
- Competitive Salary
- Health benefits
- Employee Volunteer Program
For more information, contact donnamarie@woebot.io
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