Senior Machine Learning Engineer

🕒 May 7

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Oscilar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💳 Fintech

🏦 Banking

📋 Compliance

Fintech • Banking • Compliance

Oscilar is a risk management platform that focuses on fraud defense, credit underwriting, onboarding risk, and AML compliance for financial institutions. Through its advanced AI Risk Decisioning™, Oscilar enables organizations to make faster and more intelligent risk decisions, monitor customer journeys, and ensure regulatory compliance seamlessly. Oscilar's platform provides comprehensive analytics and proactive detection capabilities, tailored to meet the unique risk needs of banks, fintechs, and credit unions.

📋 Description

• Scale and optimize existing ML systems. Improve the performance, reliability, and cost-efficiency of our current ML infrastructure, including feature stores, model serving, and orchestration pipelines. • Build reproducible, automated ML pipelines. Design and operate the pipelines that power model training, deployment, and monitoring across the platform — so models ship reliably and repeatably, not as one-off integrations. Partner with data scientists to make low-latency production deployment a paved path. • Build new ML infrastructure. Design and implement new components of our ML stack as the platform grows, with a focus on scalability, modularity, and developer experience. • Set ML engineering standards. Help define best practices for model deployment, monitoring, and lifecycle management. Mentor teammates and raise the bar across the organization. • Own production reliability. Be responsible for the uptime, performance, and correctness of ML systems serving real-time, business-critical decisions.

🎯 Requirements

• 4+ years of experience building and maintaining production ML infrastructure. • Strong software engineering fundamentals, with experience designing distributed systems and writing high-quality, maintainable code. • Hands-on experience with the full ML lifecycle in production: feature engineering and serving, model deployment, monitoring, and retraining. • Proficiency in Scala and Python, with hands-on experience building data and ML workloads on distributed processing frameworks such as Spark and Flink. • Experience operating systems at scale, including performance tuning, observability, and incident response. • Strong communication skills and the ability to collaborate effectively across data science, engineering, and product teams. • Significant experience building and operating workloads on AWS.

🏖️ Benefits

• Competitive salary and equity packages, including a 401k • Remote-first culture — work from anywhere • 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) • Unlimited PTO policy • AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product • Family-Friendly environment; Regular team events and offsites • Unparalleled learning and professional development opportunities • Making the internet safer by protecting online transactions