Yobi AI

Machine Learning Engineer

Skills

Computer ScienceData EngineeringBehavioral ModelingData MiningData ScienceDeep LearningMachine Learning Algorithms

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

Understanding of machine learning to apply it to novel problems and suggest improvements.
Experience in representation learning, embeddings drift, CTR modeling, sequence modeling, preferably on big data in an industrial setting.
Ability to contribute to non-research components like data orchestration, build systems, and experiment tracking.
Comfortable with using open-source products like Airflow, Bazel, Github CI/CD, and Spark.

Nice to have

Good product sense
Technical fit
Attitude
Ability to flex functions
Quick contribution
Collaboration skills
Comfort with systems

Day to day

You will focus on the representation learning of fundamental user-behavioral modeling problems and using those core models to enhance products.
Collaboration with the Product and Applications team is crucial to realize R&D gains but this is a full-stack ML role.
Responsibilities include data processing, model training, deployment, and evaluation, and contributing to the product strategy.

Hiring process

Apply online
Interview with team
Technical assessment
Final interview

Company

Why this team might suit you

Mission, benefits, values and useful company context.

Mission

Since Yobi’s founding in 2019, we’ve been focused on solving the single biggest challenge to democratized AI for organizations of all sizes: ACCESS TO DATA. Today’s Large Language Model’s lack a defensible moat because they’re trained on public data, like Reddit, WordPress, and other public web sites. Unfortunately, unless you’re Google or Amazon, your 1P data estate doesn’t provide a holistic consumer view to deliver real impact. Yobi partnered with Microsoft to assemble one of the largest consented behavioral datasets to underpin a private foundation model of behavioral intelligence without sacrificing consumer choice or privacy. For data scientists, this foundation model can be fine-tuned and joined to customer 1P data to ignite model training and performance. For marketers, this big-tech like behavioral model can be plugged into open web activation and personalization platforms to unlock new levels of audience targeting and consumer experiences beyond the walled gardens. Together, through collaboration, WE CAN DEMOCRATIZE THE AI REVOLUTION.

Benefits

Competitive Base Salary
Meaningful equity & financial upside a real % of the company
Health, Dental, Vision
Flexible PTO
401k

Values

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 DatabricksFull 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 streams