WHO WE ARE

　　The Trustly Americas team combines PayWithMyBank, a 2012 Silicon Valley startup, with Trustly AB of Sweden, following their 2019 merger. Our team represents 30 nationalities, serving 8,300 merchants, connecting to 650 million consumers, and 12,000 banks across 33 countries. Our global network processes over $42 billion annually.

　　Our digital account-to-account platform redefines the speed, simplicity, and security of payments. Consumers pay for purchases by simply signing into their bank accounts, bypassing the card networks, and never leaving a merchant's site or app - no credit card numbers or separate account setup necessary. With offices in Vitoria, Brazil, Silicon Valley in the US, and global headquarters in Stockholm, Sweden, we are a culturally diverse team. Across Brazil, we have embraced remote work from home policy.

　　At Trustly, we believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on race, religion, ancestry, color, national origin, gender identity, sexual orientation, age, citizenship, marital status, or disability status. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all collaborators. The stages of our selection process take place online and without distinction of any kind.

　　It's a great time to join Trustly as the Americas team is growing fast. If you thrive in an entrepreneurially-minded, fast-paced, casual, professional, positive, and rewarding work environment, check us out!

　　About the team

　　The Risk team is responsible for maintaining the risk controls at Trustly, developing machine learning models and data analysis aiming to mitigate risk. The Machine Learning Engineer works together with the Risk Data Science and MLOps teams to process large volumes of data and implement AI models on a production scale. Our mission is to create a framework and infrastructure to manage risk and create long-term competitive differentiation and value for Trustly.

　　What you'll do:

　　Collaborate with data science and engineering teams to build Machine Learning solutions.Define the architecture of reproducible, scalable, and monitored ML solutions for the production environment, ensuring good systems architecture practices;Architect and develop retraining pipelines;Assist other teams in recurrent execution pipelines following good Data Engineering practices;Expose machine learning models in a scalable and highly available way for use in a production environment;Optimize prediction time performance of our machine learning models;Manage the lifecycle of machine learning models for tracking parameters, metrics, and artifacts ensuring good data science practices;Help drive optimization, testing, and tooling to improve data quality;Improve our deployment process and automated test features.

　　Who you are:

　　Large experience in machine learning product development; Experience leveraging large-scale data processing technologies;Experience with Python and ML libraries (Scikit-learn, Pytorch, Tensorflow, Pandas, Numpy, etc);Deep knowledge and understanding of Machine Learning algorithms and how they work (classification, regression, clustering);Experience with AWS (Sagemaker, EC2/ECS, S3, EMR);Experience with Big Data tools and ecosystems (Spark, Hadoop, etc);Knowledge of software development best practices and architectural patterns;Skills in algorithms, data structures, and relational databases (SQL is required);Advanced English level.

　　Our perks and benefits:

　　Bradesco health and dental plan, for you and your dependents, with no co-payment cosSulamérica life insurance with differentiated coverageMeal voucher and supermarket voucherHome Office AllowanceGympass - Platform that gives access to spaces for physical activities and online classesTrustly Club - Discount at educational institutions and partner storesMonthly happy hours with iFood couponEnglish Program - Here you have space to develop your English, and you can choose an Online Platform or English Classes in companyExtended maternity and paternity leaveBirthday offFlexible hours/Home Office - our culture is remote-first! You can work in every city in BrazilWelcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs.Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

　　Check out our Brazil Life page on Linkedin or our Glassdoor for more details about Brazil, our culture, and much more.

　　#LI-Remote

　　#LI-CHERRYNE-TRUSTLY

　　At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

　　Want to make a difference in a fast-growing business? Apply now!