Machine Learning Engineer Opportunity at Forter

Are you passionate about Machine Learning? Forter is seeking a Machine Learning Engineer to join our expanding Data Science Team. This role offers a unique opportunity to dive into the world of Machine Learning, where you'll develop and maintain high-performing models to meet our stringent accuracy and efficiency standards.

About the Role

In 2020, Forter's Machine Learning models processed over $200B in e-commerce transactions, making real-time decisions, identifying fraud rings, and detecting new attack methods. Precision is essential, as inaccuracies can lead to significant financial losses.

With billions of data points from merchants worldwide, our team—including data scientists, analysts, and cyber intelligence experts—continuously innovates. As data volume and model complexity rise, the engineering challenge intensifies.

If you thrive in a dynamic environment and excel at crafting effective and elegant solutions within constraints, we invite you to apply.

Key Responsibilities

• Design, develop, and optimize Machine Learning models for various research projects and business applications.
• Collaborate with researchers, data scientists, and expert analysts to provide cutting-edge tooling that enhances model research precision.
• Integrate Machine Learning models into existing systems and workflows, working closely with Forter's ML Platform team.
• Collect, preprocess, and analyze diverse data sources to train, validate, and test ML models.
• Engage in code reviews, team meetings, and knowledge-sharing sessions to promote collaboration and continuous learning.
• Contribute to the development of best practices, tools, and processes for machine learning engineering.
• Monitor and evaluate the performance of ML models, iterating to improve their accuracy and efficiency.
• Document and communicate research findings, model architectures, and performance metrics to stakeholders.

Preferred Qualifications

• Experience collaborating with data scientists, researchers, and ML engineers, and working with Machine Learning concepts and frameworks.
• 4+ years of experience developing complex software projects using general-purpose languages (preferably Python) and ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Motivated to understand the needs of internal users, providing them with excellent tooling and guidance.
• Experience with public clouds (AWS / GCP / Azure).
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Team player with the ability to collaborate effectively in a fast-paced, dynamic environment.

Bonus Points

• Familiarity with Databricks or Airflow.
• Experience with large-scale data processing, ideally with Apache Spark.

About Forter

At Forter, we're shaping the future of digital commerce trust. Our Decision Engine analyzes patterns across more than one billion identities to isolate fraudsters and protect genuine customers, ensuring everyone gets the experience they deserve.

Our commitment to trust and excellence has earned us over 10 workplace and innovation awards, including:

• Great Place to Work Certification (2021, 2022, 2023).
• Fortune’s Best Workplaces in NYC (2022).
• #3 on Fast Company’s list of “Most Innovative Finance Companies” (2022).
• Forbes Cloud 100 (2021, 2022).
• SAP Pinnacle Awards “New Partner Application Award” (2023).
• Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023).

Life as a Forterian

Forter is more than just a workplace; we are a vibrant community of over 500 Forterians across three continents. Since our founding in 2013, we've raised $525 million from top-tier investors, including Tiger Global, Bessemer, Sequoia Capital, March Capital, and Salesforce Ventures.

We welcome diverse perspectives and believe that unique individuals generate unique ideas. Even if your background doesn't perfectly match our job description, we still encourage you to apply and tell us why you'd be a valuable addition to our team.

Forter is an Equal Employment Opportunity employer. We consider all qualified applicants without regard to race, color, religion, gender, sexual orientation, marital status