We’re builders: We create things that move society forward and let our work speak for itself.
We’re here to win: We know where we’re going, and nothing will stop us from getting there.
We’re kind: We’re human. We crave to understand others and to be understood.
We have fun: We believe joy unlocks curiosity, creativity, and connection.
Build new fraud detection systems
Collaborate with the team during the research and development process of new systems
Write well-designed, documented, and testable code
Monitor and evolve existing production models
Evaluate and act on customer feedback
Identify and execute on improvements to the teams MLOps capability
Consider security implications in the design and implementation of your software
Have experience with machine learning, computer vision, or statistics
Are naturally curious and willing to dig deeply into a problem to find a solution
Are thoughtful about code quality and software architecture
Are familiar with Python and Django or similar programming languages and frameworks
Have a degree in Computer Science, Mathematics, Engineering or another relevant field
Experience with AWS SageMaker
Knowledge of the Fintech industry especially risk teams
Experience building ML Models for document analysis
Competitive salary and meaningful equity
Comprehensive healthcare
Flexible working hours and unlimited vacation policy
10 company holidays and 1 floating holiday of your choice
Complete work from home setup
Wellness and learning stipend
Company
Inscribe
United Kingdom
Location
Remote Position
(From Everywhere/No Office Location)
Job type
Full-Time
Python Job Details
About Inscribe
At Inscribe, we’re on a mission to create a fair and efficient financial services ecosystem — one that grants more access to eligible customers while keeping fraudsters out and doing so quickly and efficiently. Companies that use Inscribe are able to grow faster, reduce fraud, and serve more customers with a better experience.
It’s a lofty goal, but one that our team of kind, funny, and wildly talented people from across the globe are committed to. We put people first by fostering an environment that is inclusive of diverse backgrounds, encouraging a sustainable work-life balance, and ensuring our team members have the resources and support to grow. Plus, our work anniversary gifts can’t be beat: poems, portraits, and (yes, it’s true) custom crossword puzzles created in your honor.
What about our company values? We’re glad you asked:
Backed by top Silicon Valley investors like Y Combinator, Foundry Group, Crosslink Capital, and Uncork Capital, Inscribe is based in San Francisco with a European office in Dublin, Ireland.
The Opportunity
As a ML Engineer at Inscribe you’ll apply your technical knowledge to solve real customer problems. You’ll join the Fraud team working on our core fraud detection logic and building new technical solutions to uncover fraud. You’ll work closely with product managers, designers, machine learning experts and other engineers. You will be responsible for creating new methods of detecting fraud and tuning models to stay one step ahead of the fraudsters. You will have the opportunity to see your solutions go from initial idea to production in a matter of days.
Responsibilities
About You
Nice to Have
We’re a remote-first organization with an annual company-wide offsite and regular co-working opportunities in SF and Dublin.
Benefits
At Inscribe, we are building a company and culture where everyone can produce their best work. Here are a few of our awesome benefits:
Inscribe provides equity employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type with regards to race, color, religion or religious belief, ethnic or national origin, nationality, sex, genetics, gender, gender identity, sexual orientation, disability, age, military or veteran status, disability status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy.
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