Machine Learning Engineer, OfferFit

Salary not provided

SQL

AWS

Kubernetes

CSS

GCP

HTML

JavaScript

Python

Node.js

Airflow

Terraform

Vue.js

Azure

Spark

Pandas

BigQuery

FastAPI

Junior, Mid and Senior level

Remote from Europe, UK

AI platform making A/B testing obsolete

Job no longer available

AI platform making A/B testing obsolete

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingMachine LearningSaaSAutomation

Job no longer available

Salary not provided

SQL

AWS

Kubernetes

CSS

GCP

HTML

JavaScript

Python

Node.js

Airflow

Terraform

Vue.js

Azure

Spark

Pandas

BigQuery

FastAPI

Junior, Mid and Senior level

Remote from Europe, UK

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingMachine LearningSaaSAutomation

Company mission

To accelerate the creation of knowledge - because with more and better knowledge, there’s no telling how substantially life can improve in the coming generations.

Job

Company

Role

Who you are

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, especially in the data architecture and data science domains
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 speech
Background in Machine Learning Engineering and/or Data Engineering is preferred. Some Data Science experience is nice-to-have but is not required
Fluency in English is required for this position
Ability to partially overlap with US time zones required

Desirable

2+ years of experience working with Python in a production setting, including 1+ years in the data / machine learning ecosystem
Experience working with at least one major cloud platform (GCP, AWS, Azure, etc.)
Experience putting ML models into production
General understanding of supervised learning principles is a plus but not required

What the job involves

Come join our quickly growing Engineering team to help design, improve and scale OfferFit's self-learning (reinforcement learning) AI platform
Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product
Work closely with customer-facing teams to understand, translate, and generalize particular use cases to generic platform components
Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same
Collaborate with teams responsible for OfferFit’s product strategy and roadmap
Support teams implementing OfferFit for customers to ensure their success
Work closely with our Applied Science team (data scientists) to help productize and deploy attribution and reinforcement learning algorithm improvements
Improve our core data pipelines and reporting architecture
Tech stack:
Data Science/Back End: Python (Pandas, Polars, Ibis, Spark), SQL, BigQuery, FastAPI
Web [Not required for this role]: JavaScript (Vue, Node.js), HTML, CSS
Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP
We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development

Our take

In the realm of digital marketing, traditional A/B testing is facing significant challenges in optimizing and personalizing communication strategies. The limitations of this approach, which is employed to measure the effectiveness of different messages among user groups, include scalability issues and the inability to continuously adapt to evolving user behaviors.

OfferFit addresses these industry challenges by leveraging machine learning to revolutionize digital marketing optimization. Unlike traditional A/B testing, OfferFit's approach involves algorithms trained through trial-and-error, akin to how humans learn. This method allows for ongoing adjustments, ensuring continuous optimization over time.

Recently the company was acquired by Braze, positioning it for an even brighter future. This move brings OfferFit's tech into a much bigger platform, giving it the scale and support to level up even faster. With both teams now working together, we're talking about a new era of smart, personalized customer experiences that actually feel human. It's a big win for marketing and a huge step toward a future where AI doesn't just assist but understands.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Nov 2023

$25m

SERIES B

Nov 2021

$14m

SERIES A

Total funding: $39m

Company benefits

Generous PTO policy: Starting at 25 days PTO per year
100% remote work environment: With flexible hours
Quarterly gatherings: Where we meet in person in different cities to work together, bond as a team, and celebrate our progress
Weekly team events: Lunch and learns, trivia, virtual escape rooms, town halls, and team health "barometer" meetings

Company HQ

Government Center, Boston, MA

Leadership

George Khachatryan

(Co-Founder & CEO)

Previously co-founded the educational software for schools company, Reasoning Mind. They also worked as an Associate Partner at McKinsey & Company before co-founding OfferFit in 2020.

Victor Kostyuk

(Co-Founder & CTO)

Previously worked at the Boston Consulting Group in multiple Data Scientist roles. Prior to that they worked at Reasoning Mind for over 6 years in multiple roles.

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