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Full-Time

Machine Learning Implementation Engineer

Confirmed live in the last 24 hours

OfferFit

OfferFit

51-200 employees

AI-driven marketing optimization and testing

Enterprise Software
AI & Machine Learning

Compensation Overview

$113k - $165kAnnually

+ Bonus + Performance Bonus + Commission + Equity Options

Junior, Mid

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Kubernetes
Python
Data Science
Data Structures & Algorithms
SQL
Pandas
Development Operations (DevOps)
Data Analysis
Google Cloud Platform
Requirements
  • Collaborate with customer Analytics/BI teams and OfferFit colleagues on implementations (use case definition, data integration, pipeline and ML model configuration, etc.)
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the ML pipeline development team to improve self-learning (reinforcement learning) algorithms
  • Participate in determining OfferFit’s product strategy and roadmap
  • Oversee the continuous support OfferFit provides customers to ensure their success
  • Data Science/Back End: Python (Pandas, TF, FastAPI, Great Expectations), SQL
  • Web (not required for this role): JavaScript (Vue, Node.js), HTML, CSS
  • Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP
  • Well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development
  • Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs
  • Tinkerer: you regularly explore and learn new technologies and methods
  • Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
  • Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
  • Clear communicator: you are able to express yourself clearly and persuasively, both in writing and verbally
Responsibilities
  • Collaborate with customer Analytics/BI teams and OfferFit colleagues on implementations (use case definition, data integration, pipeline and ML model configuration, etc.)
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the ML pipeline development team to improve self-learning (reinforcement learning) algorithms
  • Participate in determining OfferFit’s product strategy and roadmap
  • Oversee the continuous support OfferFit provides customers to ensure their success

OfferFit.ai enhances traditional A/B testing in marketing by using artificial intelligence to automate and personalize marketing decisions. Their AI testing allows businesses to utilize first-party data to find the best message, product, incentive, channel, and timing for each customer, making the process more efficient. Unlike competitors, OfferFit enables simultaneous testing and quick adaptation to market changes, leading to significant increases in conversion rates, as seen with clients like Kayo Sports and BINGE. The goal is to provide businesses with a more effective marketing approach that boosts their financial performance.

Company Stage

Series B

Total Funding

$37.9M

Headquarters

Boston, Massachusetts

Founded

N/A

Growth & Insights
Headcount

6 month growth

5%

1 year growth

33%

2 year growth

132%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $25M in Series B funding led by Menlo Ventures indicates strong investor confidence and provides resources for further innovation and growth.
  • Clients like Kayo Sports & BINGE have reported significant increases in conversion value, demonstrating the tangible financial benefits of OfferFit's solution.
  • The company's focus on AI and automated decision-making positions it well to capitalize on the growing demand for personalized and efficient marketing technologies.

What critics are saying

  • The marketing technology sector is highly competitive, requiring continuous innovation to maintain a competitive edge.
  • Dependence on first-party data may pose challenges as data privacy regulations become more stringent.

What makes OfferFit unique

  • OfferFit's AI-driven approach to marketing decisions replaces traditional A/B testing, offering a more efficient and personalized solution.
  • The ability to test multiple variables simultaneously and adapt instantly to market changes sets OfferFit apart from competitors relying on slower, manual processes.
  • OfferFit leverages first-party data to optimize marketing strategies, providing a unique advantage in an era where data privacy and personalization are paramount.