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Staff Machine Learning Engineer (Python), Fraud Prevention | Paxful, Inc

Job title: Staff Machine Learning Engineer (Python), Fraud Prevention

Company: Paxful, Inc

Job description: The Staff Machine Learning Engineer is a seasoned professional with at least 10 years of experience in a variety of machine learning techniques, especially in the predictive AI realm to identify malicious behavior patterns. Specialized in finance or crypto within the technology industry, this individual excels in leading problem-solving, driving coding excellence, ensuring comprehensive testing, and adopting scalable and secure software implementations for solutions in areas like trading, swapping, regulatory compliance, fraud detection, automation, and more.Who we arePaxful is a people-powered marketplace for moving money from anywhere, to anyone. With over 12 million users across 170+ countries, Paxful offers access to crypto and local currencies using more than 450 payment methods.Requirements

  • Past experience within the fintech sector, or understanding of financial regulations, compliance, and security best practices.
  • Excellent analytical, critical thinking, and problem-solving skills in financial technology contexts.
  • Ability to manage, coordinate, and prioritize work with multiple team members for delivering software with quality in time.
  • Strong communication skills and an ability to collaborate cross-functionally with product, engineering, and other departments.
  • Able to explain technical concepts to both technical and non-technical stakeholders.
  • Must be located in the Americas or Europe (between time zones UTC-5 and UTC+3).

Qualifications

  • Solid track record of over 10 years demonstrating mastery of Python, mainly in production backend applications.
  • Extensive experience in working with Machine Learning, including Deep Learning with PyTorch and TensorFlow.
  • Strong expertise working with generative AI models, including LLMs, like LLaMA or Alpaca.
  • Solid experience in administration, modeling, optimization techniques in SQL and NoSQL databases, including data warehousing.
  • Demonstrated proficiency in working with third-party software integration using industry protocols like SOAP, REST, RPC, GraphQL, and WebSockets.
  • Proven knowledge in processing queues such as Apache Kafka, or RabbitMQ, or standards like AMQP.
  • Expertise in utilizing in-memory databases like Redis and Memcached.
  • Understanding of Git and branching models for coordination with team members.

Nice to have

  • Hands-on experience working with release management and architecting within cloud platforms like AWS or Azure.
  • Familiarity with network security, traffic encryption, and authentication protocols.
  • Enhanced skills in other programming languages like Golang and Java are highly valued.
  • A comprehensive grasp of economics and finance, including swaps, escrows, scalping, staking, and lending.

Responsibilities

  • Write production-ready, testable, and clear documented code, and handle edge cases.
  • Understand team development approach, identify gaps, and recommend solutions.
  • Maintain expertise in the team’s domain areas, its services, interactions, and data flows.
  • Utilize design patterns for scalable applications, anticipating future changes.
  • Perform systematic debugging within the domain.
  • Ensure epics and projects are broken down, prioritized, and understood by the team.
  • Communicate clearly with other teams, fostering effective and targeted communication.
  • Promote documentation and knowledge sharing within the team and with stakeholders.

BenefitsWe encourage a remote-first approach for geographically distributed teams, being open to skilled professionals from around the world. Beyond that, we are committed to transparency, openness, and supporting each other to build great things together.You can expect:

  • Competitive salary
  • Fully remote work environment
  • Flexible working hours with a 4-hour overlap in Eastern Time (EST)
  • Opportunity to work with cutting-edge technologies on impactful projects
  • Collaborative, innovative, and supportive work culture
  • Opportunity to mentor and lead a team of talented engineers
  • Professional growth and development opportunities

NotesWe are a fully remotely distributed team. However, we are currently unable to provide visa sponsorship for employment.Due to legal restrictions, we are unable to hire individuals residing in countries currently under international sanctions.Upon submitting your application, you consent to receive future communications. The communication will depend on the alignment of your qualifications with this position. Only eligible candidates will receive correspondence.Interested in Paxful but don’t think this role is the best fit for you? View our other positions:Base compensation is dependent on the candidate’s residence.To recruitment agencies and outsourcing entities: Paxful maintains a strict policy of not accepting third-party applications from recruitment agencies or individual recruiters. Furthermore, any collaboration with outsourcing partners remains outside of our strategic planning.

Expected salary: $60000 – 160000 per year

Location: New York City, NY

Job date: Thu, 25 Jul 2024 22:35:25 GMT

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