AI Engineer - LATAM at WITHIN

São Paulo, State of São Paulo, Brazil

WITHIN Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries

Requirements

  • Strong proficiency in Python with significant experience in software development practices
  • Demonstrated understanding of large language model principles, architectures, and evaluation techniques (LLM Evals)
  • Experience working with or developing semantic layers for analytics, with familiarity in tools like Cube Core being a significant advantage
  • Experience in data manipulation, cleaning, and analysis using relevant libraries and frameworks
  • Preferred Requirements
  • Prior hands-on experience in fine-tuning, training, or productionizing Large Language Models
  • Experience with complex analytical projects, including advanced statistical methods or machine learning models
  • Familiarity with major cloud computing platforms (e.g., AWS, GCP, Azure)
  • Experience with semantic layers tools: Cube Core, dbt, LookML

Responsibilities

  • Design, implement, and analyze rigorous evaluation metrics and pipelines for large language models, ensuring optimal performance and reliability for various use cases
  • Work closely with data science and engineering teams to integrate and leverage Cube Core for the development and maintenance of our analytics semantic layer
  • Engineer robust and scalable software solutions for integrating LLMs into our production systems
  • Develop and maintain tools for capturing, processing, and analyzing data generated by LLM interactions and general system usage
  • Partner with product managers and other engineers to translate business requirements into technical specifications and deliver high-quality, impactful features

Skills

Python
LLM
LLM Evaluation
Semantic Layers
Cube Core
Data Analysis
Model Integration
Deployment
Fine-tuning

WITHIN

Integrates performance media with branded content

About WITHIN

WITHIN is a leader in the Performance Branding sector, specializing in merging performance media with branded content to help brands achieve their business and marketing goals. They offer advanced solutions such as channel strategy development, marginal bidding, attribution modeling, and lifetime value analysis. This strategic approach allows them to create personalized content at scale, making them a valuable partner for prominent brands seeking to optimize their marketing efforts.

New York City, New YorkHeadquarters
2015Year Founded
$150KTotal Funding
SEEDCompany Stage
Consulting, Consumer Software, Consumer GoodsIndustries
201-500Employees

Benefits

Health Insurance
Unlimited Paid Time Off
Phone/Internet Stipend
401(k) Company Match
Hybrid Work Options
Professional Development Program
Company Social Events

Risks

Increased competition from media agencies may impact Within's market share.
Rapid digital marketing evolution requires continuous investment from Within.
Economic downturns could affect Within's revenue from clients like Foot Locker.

Differentiation

Within is the only Performance Branding firm globally, enhancing its market uniqueness.
Within's role as Foot Locker's media agency highlights its industry leadership.
Within offers integrated media and personalized content solutions, setting it apart from competitors.

Upsides

Rising demand for personalized content boosts Within's growth potential.
Growing interest in integrated media strategies aligns with Within's offerings.
Performance branding trend supports Within's focus on measurable marketing outcomes.

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