# Senior Machine Learning Engineer Source: https://realanalystjobs.com/job/senior-machine-learning-engineer-alloy-b2ff4ae3 Senior Machine Learning Engineer at Alloy, an on-site role based in City, New York, USA. Experience level: 8+ Years. Posted on 7 April 2026, read from Alloy's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Alloy](https://realanalystjobs.com/companies/alloy) - Location: City, New York, USA - Work mode: On-site - Posted: Apr 7, 2026 - Employment type: Full time - Experience level: 8+ Years - Source: Alloy's careers page (Greenhouse), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), [Looker](https://realanalystjobs.com/skills/looker) ## About this role Alloy is where you belong! Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can grow without limits. More than 900 of the world's leading financial institutions and fintechs trust Alloy for smarter risk management that drives growth. Through our values: Be Bold, Go Fast, 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 Signals 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. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster collaboration and community by having our local employees onsite three days 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. • 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: • 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning with a proven track record in a “Solutions” or client-facing capacity. • Expertise in working with highly imbalanced datasets and building production-grade Machine Learning models with specific interest in tree-based models. • Advanced proficiency in scripting languages like Python and querying languages like SQL • Proven ability to wrangle and think thoughtfully about data at scale (processing billions of records). • 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 Haves: • Previous experience in financial fraud detection. • Advanced Degree (Masters or PhD) in a quantitative field. • Experience managing the end-to-end lifecycle of a technical pilot or Proof of Concept. • Experience with BI tools like Looker. • Experience with modeling on graph structures. 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 $230,000. Benefits and Perks We invest in your health, your financial future, and your growth. Here's what you can expect: • Medical, dental, and vision coverage from the first of the month after you join, including $0 employee-only premium options, plus FSA options and an Alloy-funded HSA with our high-deductible plan • Healia: if your spouse or partner has health insurance through their employer, Alloy may cover up to 100% of your family's costs on their plan • Alloy-paid One Medical membership, Spring Health therapy and coaching, Superpower advanced lab testing, and ClassPass credits • Stock options for every full-time employee • 401(k) with a 100% match up to 4% of pay, vested immediately, plus a mega backdoor Roth option • Free, unlimited 1:1 financial planning through Addition Wealth • Unlimited PTO plus company holidays • 16 weeks of fully paid parental leave for eligible birthing, non-birthing, adoptive, and foster parents Description from Alloy's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-engineer-alloy-b2ff4ae3) and use Apply now there to reach the employer's application. The listing is re-checked against Alloy's careers page daily and removed when it closes. ## Alloy 2 open analyst roles on Real Analyst Jobs. [More roles at Alloy](https://realanalystjobs.com/companies/alloy) ## More like this ### Other open roles at Alloy - [Deal Desk Analyst](https://realanalystjobs.com/job/deal-desk-analyst-alloy-55960e3b), City New York, USA (On-site) - [Senior Revenue Operations Analyst](https://realanalystjobs.com/job/senior-revenue-operations-analyst-alloy-1508dbd7), City New York, USA (On-site) - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-machine-learning-engineer-alloy-b2ff4ae3) - [Alloy on Real Analyst Jobs](https://realanalystjobs.com/companies/alloy) - [All analyst jobs](https://realanalystjobs.com/jobs)