Machine Learning Engineer - Applied / Product

Yobi

$180K — $275K *
US-Anywhere
+ 2 other locationsRemote
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience with consumer-facing machine learning applications, such as recommendation systems or personalization.
  • Ability to work on the complete ML pipeline, including data orchestration and experiment tracking.
  • Good product sense with the ability to contribute to product-market fit discussions.
  • Familiarity with tools like Airflow, Bazel, Github CI/CD, and Spark is a plus, but not mandatory.
  • Strong collaborative mindset, willing to work across teams to deliver ML-powered solutions.

Responsibilities

  • Develop and optimize models and metrics that power Yobi Applications products.
  • Collaborate with cross-functional teams, including Product and core signals MLEs.
  • Drive 0-to-1 development on new ML-powered products and features.
  • Experiment and iterate on products based on user behavior data.
  • Contribute to the holistic design and implementation of ML solutions.

Benefits

  • Flexible working environment.
  • Opportunities for professional growth and development.
  • Encouragement of innovative ideas and big bets on product development.
  • Supportive company culture prioritizing attitude and fit.
Full Job Description
About The Role

At 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:
  • Understanding enough about machine learning to be dangerous but not necessarily published in the field. This means you have worked on and can speak to impactful consumer-facing ML problems, e.g. recommender systems, personalization, etc. that you have directly contributed to.
  • Skill and attitude wise, you can quickly contribute to the "full stack" of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed. However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty.
  • 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.


A reasonable estimate of the current base salary range at the time of posting is below. Base salary does not include other forms of compensation or benefits. Actual base salary within the specified range is comprised of several components, including but not limited to applicant's skill, prior relevant experience, specific degrees and certifications, job responsibilities, market considerations and the location of the position.

Base salary range: $180,000-$275,000

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.

Similar Jobs

More Jobs at Yobi

More Consumer Technology Jobs

Find similar Machine Learning Engineer - Applied / Product jobs: