Machine Learning Engineer - Applied / Product (Multiple Positions & Levels)
Company: Yobi, Inc.
Location: Boston
Posted on: November 13, 2024
Job Description:
Yobi is a rapidly growing tech company in the behavioral
modeling and personalization space. Our mission is to Ethically
Democratize the AI Revolution. Since our founding in 2019, we have
been busy assembling the largest consented user-behavioral dataset
in the world outside the walled gardens of BigTech. We use that
dataset to help companies, big and small, supercharge the work of
their Machine Learning and Marketing teams in privacy protective
ways.At Yobi we believe that every employee should be empowered to
own 0-1 contributions and have the opportunity to achieve real
impact - and scale that impact - on the business. If that sounds
like an exciting opportunity to you, we want to hear from you.Yobi
Highlights:
- Partnerships with Microsoft and Databricks
- Full remote or hybrid from several hubs (Boston, SF Bay Area,
Seattle, NYC)
- Team of ML Experts who worked on cutting edge recommender
systems and internal tools @ Amazon, Uber, Twitter, Meta, etc.
- Experts on the Product and Go-To-Market fronts who have taken
ideas from concept to 9 figure revenue streamsBenefits:
- Competitive Base Salary
- Meaningful equity & financial upside - a real % of the
company
- Health, Dental, Vision
- Flexible PTO
- 401kAbout The RoleAt Yobi, Applications teams bring the value
in our User-Behavioral foundation models to market, creating
scalable, highly profitable products with ML at their heart. These
Applications products are key to Yobi success, as they ground the
value of our R&D, power continuous experimentation and
improvement, and provide significant data for improving our core
embeddings.As an MLE on this team, you will primarily be focused on
the models, metrics, pipelines, systems, and services that power
and deliver excellence via Yobi Applications products.This role
involves a large degree of 0-to-1 development, and will rely on
collaboration with Product, core signals MLEs, and leaning on your
own expertise and insight in building holistic ML-powered products.
While we currently have a product in the market here, we invite big
bets to expand impact and reach.Significant "wearing your Product
hat" is expected, along with driving results in the many domains
required to deliver whole ML-powered products - we are a quickly
growing startup after all!What it takes to succeed in this role:
- AdTech experience and product intuition for the space
- Understanding enough about machine learning to be dangerous but
not necessarily published in field
- Worked on and can speak to some kinds of impactful
consumer-facing ML problem, e.g. recommender systems,
personalization, etc.
- Skill and attitude wise, can quickly contribute to things such
as orchestration/Airflow, Bazel (build systems, really), CI/CD,
Spark (we have both Python and Scala), and other SQL-y data
computation backends as needed. Not everybody is going to be a
rockstar on all of these, and we are making novel tech investments
across the company, but successful engineers will see opportunity
and a path to (first) PR, instead of "not my job".
- Good product sense, has opinions on what we should and
shouldn't be doing both in chasing product-market fit and on the
implementation side.We prioritize attitude, culture, and general
(technical) fit over matching perfectly into one of our job
descriptions. If our mission and work resonates with you, we
encourage you to apply. Tell us how you can help drive our products
forward, even if you don't feel like you are a perfect fit for some
of the listings.
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Keywords: Yobi, Inc., Arlington , Machine Learning Engineer - Applied / Product (Multiple Positions & Levels), Engineering , Boston, Massachusetts
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