Machine learning Engineer

About the role: 

Forter is looking for a Machine Learning Engineer to join our growing Data Science Team. This is a great opportunity to enter the world of Machine Learning. Together we’ll provide tools to research and develop machine learning models, get them into production, and ensure that they continue to perform well over time.

ML is central to Forter’s work. In 2020 alone, it enabled us to process e-commerce transactions worth over $200B, make decisions in real time, identify fraud rings, and quickly detect new attack methods. Precision is crucial - bad decisions by our models cost us directly and put money into the pockets of fraudsters.

Our adoption by merchants around the world provides us with billions of fresh data points each day. Our team of data scientists, analysts, and cyber intelligence specialists continually identify new signals, engineer new features, and research new models. But as the volume of data and the number and complexity of models grows, so do the engineering challenges. 

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

What you will be doing:

• Work as a part of Forter’s data science team to design, develop, and optimize machine learning models for various research projects and business applications.
• Collaborate with researchers, data scientists, and expert analysts and enable them to research new models faster and with greater precision by providing cutting-edge tooling.
• Collaborate with Forter’s ML Platform team to integrate ML models into existing systems and workflows.
• Collect, preprocess, and analyze data from diverse sources to train, validate, and test ML models.
• Participate in code reviews, team meetings, and knowledge-sharing sessions to foster collaboration and continuous learning.
• Contribute to the development of best practices, tools, and processes for machine learning engineering within the team.
• Continuously monitor and evaluate the performance of ML models and iterate to improve their accuracy and efficiency.
• Document and communicate research findings, model architectures, and performance metrics to stakeholders.

Who are you?

• Experience in collaborating with data scientists, researchers and/or ML engineers, working with machine learning concepts and frameworks
• 4+ years developing complex software projects with at least one of general-purpose languages (preferably Python) and ML libraries like TensorFlow, PyTorch, or scikit-learn.
• Motivation to understand the needs of internal users, provide them with great tooling, and teach them how to use it. 
• Experience working 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.

It’d be really cool if you also:

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

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of 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:

We are a team of over 500 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Nordstrom, Priceline, Instacart and ASOS can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

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