Machine Learning Engineer, Predict at Alloy

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

187000.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Fraud Detection, Python, SQL, Data Science, Feature Engineering, Model Evaluation, Collaboration, Communication, Curiosity, Metrics Development, Dashboard Development, AWS SageMaker, Git, Looker

Industry

Financial Services

Description

Alloy is where you belong! Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 600 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year. Check out our investors and read more about us here. About the team The Predict team builds Alloy’s real-time machine learning systems — at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can’t. Managing rules and policies to detect fraud is complex and constantly evolving — we use ML to make it smarter, faster, and more adaptive. We’re engineers at heart: we design, build, and ship production systems that directly impact Alloy’s customers. Our models power real-time fraud detection, helping clients make faster and more confident decisions. We’re also pushing the boundaries of how ML and AI are applied within Alloy, by exploring neural networks and transformers. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite twice a week. What you'll be doing Contribute to the design, training, and evaluation of machine learning models that power Alloy’s fraud detection capabilities. Develop testing plans, metrics, performance reports, and translate findings into actionable recommendations. Support production ML workflows, including feature generation, model training, and monitoring, to ensure models remain accurate and reliable at scale. Document findings and communicate insights to internal teams, contributing to shared learning and continuous improvement. Maintain up-to-date model documentation and support Alloy’s model governance processes to ensure transparency and compliance. Collaborate with product managers, engineers, and data scientists to bring . Stay current with industry trends in applied ML and fraud detection, and contribute to Alloy’s mission of making financial services safer and more accessible. Who we’re looking for Always building with end-solution in mind. Able to communicate complicated concepts to a non-technical audience without diluting the complexity of the work. Able to build strong cross-functional relationships within Alloy. Naturally curious with a knack for asking tough questions. Solid understanding of core ML concepts such as supervised learning, feature engineering, and model evaluation. A team player. You believe that big things happen when the right people are working together. A fast learner. Humble. Mistakes happen and owning them helps us learn and move on quickly. You have: 3-5 years of relevant experience doing modeling and data science work, conducting advanced analytics and building/iterating on real-world production end-to-end models. Advanced proficiency in scripting languages like Python and querying languages like SQL Experience developing metrics and dashboards. Able to communicate their findings effectively to technical and nontechnical members Someone who embodies our shared Alloy values: be bold, get scrappy, collaborate, and celebrate our differences. You have experience in a highly analytical role in fast-paced environments Must be local to Greater New York City. Nice to have: Professional experience in fraud detection Experience maintaining production machine learning models Experience with AWS SageMaker Prior startup experience Dbt Git Looker We're a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us? Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically! This position has a salary range of $159,000 to $187,000. Benefits and Perks Unlimited PTO and flexible work policy Employee stock options Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options 401k with 100% match up to 4% of annual employee compensation Eligible new parents receive 16 weeks of paid parental leave Home office stipend for new employees Annual Learning & Development annual stipend Well-being benefits include access to ClassPass, OneMedical, and Spring Health Hybrid work environment: employees are expected to work Tuesdays and Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Wednesday/Friday most employees Zoom into work from home while some take advantage of the quieter office. How to apply Apply right here! You've found the application! Alloy is proud to be an equal-opportunity workplace and employer. We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter. All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you’re ever unsure, please contact us directly via our website before sharing personal information.

Responsibilities

Contribute to the design, training, and evaluation of machine learning models for fraud detection. Support production ML workflows and document findings to ensure models remain accurate and reliable at scale.